Experience
I love putting AI in production with sustainable best practices whether it is conversational AI or large scale data processing.
Work Experience
Dec. 2020 — Present
Chennai, Bangalore & San Francisco
Tune AI
Head of Research
GenAI for Enterprises At Tune I have seen every part of the startup journey from ideation to discovering PMF to failing in monetization to eventually landing contracts with some of the best organisations in their market. Worked directly with the Middle East's largest entertainment company (organizer of Abu Dhabi F1) and one of the world's largest content management companies. My responsibilities included: Enterprise Solutions to deliver multiple projects end to end. - Led two teams totaling eight people parallelly - Developed AI Agents for reducing turnaround time for a business from 7-14 days to 5 minutes flat - Large scale data processing that could process 100K+ documents / day - Hallucination free RAG systems to ensure 100% grounded AI results - These projects eventually became profit centers for Tune AI - Helped sales teams from discovery calls to finally delivering the project Product developement for features in Tune Chat and Studio. - Armoury: RAG system backend written completely in go - ChainFury: Backend tool for chain of thought prompting - Tune Blob: Client facing agent and configurable assistant in Studio - Many other eventually deprecated features Key Achievements: - Successfully delivered multiple enterprise projects from ideation to production. - Pioneered the implementation of Chain of Thought (CoT) prompting in a production environment at chat.tune.app. - Among the first companies to deploy Llama 2 🦙 in production within 24 hours of its release. - Deployed Llama 3 🦙 in production within one hour of its release. Code Repository: https://github.com/NimbleBoxAI Note: Tune AI was formerly known as NimbleBox.ai. - Developed NimbleBox.ai, a state of the art MLOps platform - Conducted initial product research and development - Published research with Intel on speeding up convnets using Intel OpenVINO Other than the points mentioned above, in the startup, I've helped with sales, design, branding, customer success, etc. Backed by Accel, Together Fund, Techstars, Venture Catalysts, Cornerstone Venture Partners, Chennai Angels, and Astarc Ventures.
Dec. 2020 — Present
Chennai, Bangalore & San Francisco
Tune AI
Head of Research
GenAI for Enterprises At Tune I have seen every part of the startup journey from ideation to discovering PMF to failing in monetization to eventually landing contracts with some of the best organisations in their market. Worked directly with the Middle East's largest entertainment company (organizer of Abu Dhabi F1) and one of the world's largest content management companies. My responsibilities included: Enterprise Solutions to deliver multiple projects end to end. - Led two teams totaling eight people parallelly - Developed AI Agents for reducing turnaround time for a business from 7-14 days to 5 minutes flat - Large scale data processing that could process 100K+ documents / day - Hallucination free RAG systems to ensure 100% grounded AI results - These projects eventually became profit centers for Tune AI - Helped sales teams from discovery calls to finally delivering the project Product developement for features in Tune Chat and Studio. - Armoury: RAG system backend written completely in go - ChainFury: Backend tool for chain of thought prompting - Tune Blob: Client facing agent and configurable assistant in Studio - Many other eventually deprecated features Key Achievements: - Successfully delivered multiple enterprise projects from ideation to production. - Pioneered the implementation of Chain of Thought (CoT) prompting in a production environment at chat.tune.app. - Among the first companies to deploy Llama 2 🦙 in production within 24 hours of its release. - Deployed Llama 3 🦙 in production within one hour of its release. Code Repository: https://github.com/NimbleBoxAI Note: Tune AI was formerly known as NimbleBox.ai. - Developed NimbleBox.ai, a state of the art MLOps platform - Conducted initial product research and development - Published research with Intel on speeding up convnets using Intel OpenVINO Other than the points mentioned above, in the startup, I've helped with sales, design, branding, customer success, etc. Backed by Accel, Together Fund, Techstars, Venture Catalysts, Cornerstone Venture Partners, Chennai Angels, and Astarc Ventures.
Dec. 2020 — Present
Chennai, Bangalore & San Francisco
Tune AI
Head of Research
GenAI for Enterprises At Tune I have seen every part of the startup journey from ideation to discovering PMF to failing in monetization to eventually landing contracts with some of the best organisations in their market. Worked directly with the Middle East's largest entertainment company (organizer of Abu Dhabi F1) and one of the world's largest content management companies. My responsibilities included: Enterprise Solutions to deliver multiple projects end to end. - Led two teams totaling eight people parallelly - Developed AI Agents for reducing turnaround time for a business from 7-14 days to 5 minutes flat - Large scale data processing that could process 100K+ documents / day - Hallucination free RAG systems to ensure 100% grounded AI results - These projects eventually became profit centers for Tune AI - Helped sales teams from discovery calls to finally delivering the project Product developement for features in Tune Chat and Studio. - Armoury: RAG system backend written completely in go - ChainFury: Backend tool for chain of thought prompting - Tune Blob: Client facing agent and configurable assistant in Studio - Many other eventually deprecated features Key Achievements: - Successfully delivered multiple enterprise projects from ideation to production. - Pioneered the implementation of Chain of Thought (CoT) prompting in a production environment at chat.tune.app. - Among the first companies to deploy Llama 2 🦙 in production within 24 hours of its release. - Deployed Llama 3 🦙 in production within one hour of its release. Code Repository: https://github.com/NimbleBoxAI Note: Tune AI was formerly known as NimbleBox.ai. - Developed NimbleBox.ai, a state of the art MLOps platform - Conducted initial product research and development - Published research with Intel on speeding up convnets using Intel OpenVINO Other than the points mentioned above, in the startup, I've helped with sales, design, branding, customer success, etc. Backed by Accel, Together Fund, Techstars, Venture Catalysts, Cornerstone Venture Partners, Chennai Angels, and Astarc Ventures.
Dec. 2020 — Present
Chennai, Bangalore & San Francisco
Tune AI
Head of Research
GenAI for Enterprises At Tune I have seen every part of the startup journey from ideation to discovering PMF to failing in monetization to eventually landing contracts with some of the best organisations in their market. Worked directly with the Middle East's largest entertainment company (organizer of Abu Dhabi F1) and one of the world's largest content management companies. My responsibilities included: Enterprise Solutions to deliver multiple projects end to end. - Led two teams totaling eight people parallelly - Developed AI Agents for reducing turnaround time for a business from 7-14 days to 5 minutes flat - Large scale data processing that could process 100K+ documents / day - Hallucination free RAG systems to ensure 100% grounded AI results - These projects eventually became profit centers for Tune AI - Helped sales teams from discovery calls to finally delivering the project Product developement for features in Tune Chat and Studio. - Armoury: RAG system backend written completely in go - ChainFury: Backend tool for chain of thought prompting - Tune Blob: Client facing agent and configurable assistant in Studio - Many other eventually deprecated features Key Achievements: - Successfully delivered multiple enterprise projects from ideation to production. - Pioneered the implementation of Chain of Thought (CoT) prompting in a production environment at chat.tune.app. - Among the first companies to deploy Llama 2 🦙 in production within 24 hours of its release. - Deployed Llama 3 🦙 in production within one hour of its release. Code Repository: https://github.com/NimbleBoxAI Note: Tune AI was formerly known as NimbleBox.ai. - Developed NimbleBox.ai, a state of the art MLOps platform - Conducted initial product research and development - Published research with Intel on speeding up convnets using Intel OpenVINO Other than the points mentioned above, in the startup, I've helped with sales, design, branding, customer success, etc. Backed by Accel, Together Fund, Techstars, Venture Catalysts, Cornerstone Venture Partners, Chennai Angels, and Astarc Ventures.
September 2024
MIT, Cambridge
Hack MIT 2024
Mentor & Judge
- Gave a technical workshop on Tune's AI research - Mentored teams building AI products for first responders, fashion designing, etc. https://hackmit.org
September 2024
MIT, Cambridge
Hack MIT 2024
Mentor & Judge
- Gave a technical workshop on Tune's AI research - Mentored teams building AI products for first responders, fashion designing, etc. https://hackmit.org
September 2024
MIT, Cambridge
Hack MIT 2024
Mentor & Judge
- Gave a technical workshop on Tune's AI research - Mentored teams building AI products for first responders, fashion designing, etc. https://hackmit.org
September 2024
MIT, Cambridge
Hack MIT 2024
Mentor & Judge
- Gave a technical workshop on Tune's AI research - Mentored teams building AI products for first responders, fashion designing, etc. https://hackmit.org
September 2024
University of Pennsylvania, Pennsylvania
PennApps XXV
Mentor and Judge
- Gave a technical workshop on Tune Studio - Mentored teams building AI products in education, etc. https://pennapps.com/
September 2024
University of Pennsylvania, Pennsylvania
PennApps XXV
Mentor and Judge
- Gave a technical workshop on Tune Studio - Mentored teams building AI products in education, etc. https://pennapps.com/
September 2024
University of Pennsylvania, Pennsylvania
PennApps XXV
Mentor and Judge
- Gave a technical workshop on Tune Studio - Mentored teams building AI products in education, etc. https://pennapps.com/
September 2024
University of Pennsylvania, Pennsylvania
PennApps XXV
Mentor and Judge
- Gave a technical workshop on Tune Studio - Mentored teams building AI products in education, etc. https://pennapps.com/
Nov. 2020 — Aug. 2021
Remote, India
KS2 Labs
AI Researcher and Consultant (Self Employed)
Novel research & development focusing on simplifying requirements for AI. - Building stateless-RL agents that do not need the perfect board state to play superhuman chess. This would demonstrate that NNs have internal representation capacity to solve complicated problems giving only traces of information. - New research directions for weather modelling that uses ground based sensor data instead of solely relying on weather satellites, which causes issues like cold-bias and wrong temperature prediction.
Nov. 2020 — Aug. 2021
Remote, India
KS2 Labs
AI Researcher and Consultant (Self Employed)
Novel research & development focusing on simplifying requirements for AI. - Building stateless-RL agents that do not need the perfect board state to play superhuman chess. This would demonstrate that NNs have internal representation capacity to solve complicated problems giving only traces of information. - New research directions for weather modelling that uses ground based sensor data instead of solely relying on weather satellites, which causes issues like cold-bias and wrong temperature prediction.
Nov. 2020 — Aug. 2021
Remote, India
KS2 Labs
AI Researcher and Consultant (Self Employed)
Novel research & development focusing on simplifying requirements for AI. - Building stateless-RL agents that do not need the perfect board state to play superhuman chess. This would demonstrate that NNs have internal representation capacity to solve complicated problems giving only traces of information. - New research directions for weather modelling that uses ground based sensor data instead of solely relying on weather satellites, which causes issues like cold-bias and wrong temperature prediction.
Nov. 2020 — Aug. 2021
Remote, India
KS2 Labs
AI Researcher and Consultant (Self Employed)
Novel research & development focusing on simplifying requirements for AI. - Building stateless-RL agents that do not need the perfect board state to play superhuman chess. This would demonstrate that NNs have internal representation capacity to solve complicated problems giving only traces of information. - New research directions for weather modelling that uses ground based sensor data instead of solely relying on weather satellites, which causes issues like cold-bias and wrong temperature prediction.
Dec. 2020 — March 2021
Remote, India
NPAW, Spain
Consultant
R&D for latest in chatbot technology to ease up sifting through extremely large datapoints. Advanced voice based Business Intelligence toolkit, control and ask using voice only!
Dec. 2020 — March 2021
Remote, India
NPAW, Spain
Consultant
R&D for latest in chatbot technology to ease up sifting through extremely large datapoints. Advanced voice based Business Intelligence toolkit, control and ask using voice only!
Dec. 2020 — March 2021
Remote, India
NPAW, Spain
Consultant
R&D for latest in chatbot technology to ease up sifting through extremely large datapoints. Advanced voice based Business Intelligence toolkit, control and ask using voice only!
Dec. 2020 — March 2021
Remote, India
NPAW, Spain
Consultant
R&D for latest in chatbot technology to ease up sifting through extremely large datapoints. Advanced voice based Business Intelligence toolkit, control and ask using voice only!
July 2019 — Nov. 2020
Ahmedabad
Shipmnts
AI Engineer
- Built ML solution to convert unstructured business data like documents (scanned, digitised) to structured knowledge using supervised and unsupervised machine learning algorithms. - Built services on top of this extracted data like rules management, abnormality detection along with a full learning system - Worked with planets largest supply chain companies (Maersk & CMA-CGM) to deliver PoCs, clients based in Europe, APAC and LATAM regions. - Involved in product design, development and customer interaction with multiple clients.
July 2019 — Nov. 2020
Ahmedabad
Shipmnts
AI Engineer
- Built ML solution to convert unstructured business data like documents (scanned, digitised) to structured knowledge using supervised and unsupervised machine learning algorithms. - Built services on top of this extracted data like rules management, abnormality detection along with a full learning system - Worked with planets largest supply chain companies (Maersk & CMA-CGM) to deliver PoCs, clients based in Europe, APAC and LATAM regions. - Involved in product design, development and customer interaction with multiple clients.
July 2019 — Nov. 2020
Ahmedabad
Shipmnts
AI Engineer
- Built ML solution to convert unstructured business data like documents (scanned, digitised) to structured knowledge using supervised and unsupervised machine learning algorithms. - Built services on top of this extracted data like rules management, abnormality detection along with a full learning system - Worked with planets largest supply chain companies (Maersk & CMA-CGM) to deliver PoCs, clients based in Europe, APAC and LATAM regions. - Involved in product design, development and customer interaction with multiple clients.
July 2019 — Nov. 2020
Ahmedabad
Shipmnts
AI Engineer
- Built ML solution to convert unstructured business data like documents (scanned, digitised) to structured knowledge using supervised and unsupervised machine learning algorithms. - Built services on top of this extracted data like rules management, abnormality detection along with a full learning system - Worked with planets largest supply chain companies (Maersk & CMA-CGM) to deliver PoCs, clients based in Europe, APAC and LATAM regions. - Involved in product design, development and customer interaction with multiple clients.
April 2018 — Oct. 2018
Bangalore
Kaaenaat
Summer Intern
Upgradation of Kount, a product which resulted in improved results by performing live traffic analysis like Dynamic Trajectory Clustering and Anomaly Detection by looking at raw footage using machine learning, was implemented on an embedded device for on-the-edge application. Designing and making of an in-house application for faster Image Segmentation compared to classical methods.
April 2018 — Oct. 2018
Bangalore
Kaaenaat
Summer Intern
Upgradation of Kount, a product which resulted in improved results by performing live traffic analysis like Dynamic Trajectory Clustering and Anomaly Detection by looking at raw footage using machine learning, was implemented on an embedded device for on-the-edge application. Designing and making of an in-house application for faster Image Segmentation compared to classical methods.
April 2018 — Oct. 2018
Bangalore
Kaaenaat
Summer Intern
Upgradation of Kount, a product which resulted in improved results by performing live traffic analysis like Dynamic Trajectory Clustering and Anomaly Detection by looking at raw footage using machine learning, was implemented on an embedded device for on-the-edge application. Designing and making of an in-house application for faster Image Segmentation compared to classical methods.
April 2018 — Oct. 2018
Bangalore
Kaaenaat
Summer Intern
Upgradation of Kount, a product which resulted in improved results by performing live traffic analysis like Dynamic Trajectory Clustering and Anomaly Detection by looking at raw footage using machine learning, was implemented on an embedded device for on-the-edge application. Designing and making of an in-house application for faster Image Segmentation compared to classical methods.
May 2017 — July 2017
Pune
Connecticus Technologies Pvt Ltd
Machine Learning Intern
Worked on Connecticus' cognitive platform NESSA to develop machine learning based approach to making a FAQ module. Implemented Facebook’s Memory Networks and a variety of NLP tasks such as POS tagging, stemming and lemmatisation of language.
May 2017 — July 2017
Pune
Connecticus Technologies Pvt Ltd
Machine Learning Intern
Worked on Connecticus' cognitive platform NESSA to develop machine learning based approach to making a FAQ module. Implemented Facebook’s Memory Networks and a variety of NLP tasks such as POS tagging, stemming and lemmatisation of language.
May 2017 — July 2017
Pune
Connecticus Technologies Pvt Ltd
Machine Learning Intern
Worked on Connecticus' cognitive platform NESSA to develop machine learning based approach to making a FAQ module. Implemented Facebook’s Memory Networks and a variety of NLP tasks such as POS tagging, stemming and lemmatisation of language.
May 2017 — July 2017
Pune
Connecticus Technologies Pvt Ltd
Machine Learning Intern
Worked on Connecticus' cognitive platform NESSA to develop machine learning based approach to making a FAQ module. Implemented Facebook’s Memory Networks and a variety of NLP tasks such as POS tagging, stemming and lemmatisation of language.
May 2017 — July 2017
Nagpur
MasterSoft ERP Solutions
Summer Intern
Designed and developed a python toolkit for rapid deployment of infographics in company's E.R.P. Solutions. Toolkit was made in python3, used several external libraries like, ggplot2, pandas, numpy etc.
May 2017 — July 2017
Nagpur
MasterSoft ERP Solutions
Summer Intern
Designed and developed a python toolkit for rapid deployment of infographics in company's E.R.P. Solutions. Toolkit was made in python3, used several external libraries like, ggplot2, pandas, numpy etc.
May 2017 — July 2017
Nagpur
MasterSoft ERP Solutions
Summer Intern
Designed and developed a python toolkit for rapid deployment of infographics in company's E.R.P. Solutions. Toolkit was made in python3, used several external libraries like, ggplot2, pandas, numpy etc.
May 2017 — July 2017
Nagpur
MasterSoft ERP Solutions
Summer Intern
Designed and developed a python toolkit for rapid deployment of infographics in company's E.R.P. Solutions. Toolkit was made in python3, used several external libraries like, ggplot2, pandas, numpy etc.
Education
May 2015 — May 2019
Raipur
National Institute of Technology Raipur
B. Tech. in Electronics and Telecommunication
Grade: A Activities and societies: Training and Placement Cell NIT Raipur. Entrepreneurship Cell of NIT Raipur. Photography Club of the NIT Raipur. Manager at the Entrepreneurship Cell (E-Cell) of the NIT Raipur. Was part of a team that organised E-Summit 2016, 2017 and 2018 Central India's largest Entrepreneurship Event. Responsible for the conduction of the Wall Street Event in the Annual Techno-Management Fest of the College (Aavartan 2016).
May 2015 — May 2019
Raipur
National Institute of Technology Raipur
B. Tech. in Electronics and Telecommunication
Grade: A Activities and societies: Training and Placement Cell NIT Raipur. Entrepreneurship Cell of NIT Raipur. Photography Club of the NIT Raipur. Manager at the Entrepreneurship Cell (E-Cell) of the NIT Raipur. Was part of a team that organised E-Summit 2016, 2017 and 2018 Central India's largest Entrepreneurship Event. Responsible for the conduction of the Wall Street Event in the Annual Techno-Management Fest of the College (Aavartan 2016).
May 2015 — May 2019
Raipur
National Institute of Technology Raipur
B. Tech. in Electronics and Telecommunication
Grade: A Activities and societies: Training and Placement Cell NIT Raipur. Entrepreneurship Cell of NIT Raipur. Photography Club of the NIT Raipur. Manager at the Entrepreneurship Cell (E-Cell) of the NIT Raipur. Was part of a team that organised E-Summit 2016, 2017 and 2018 Central India's largest Entrepreneurship Event. Responsible for the conduction of the Wall Street Event in the Annual Techno-Management Fest of the College (Aavartan 2016).
May 2015 — May 2019
Raipur
National Institute of Technology Raipur
B. Tech. in Electronics and Telecommunication
Grade: A Activities and societies: Training and Placement Cell NIT Raipur. Entrepreneurship Cell of NIT Raipur. Photography Club of the NIT Raipur. Manager at the Entrepreneurship Cell (E-Cell) of the NIT Raipur. Was part of a team that organised E-Summit 2016, 2017 and 2018 Central India's largest Entrepreneurship Event. Responsible for the conduction of the Wall Street Event in the Annual Techno-Management Fest of the College (Aavartan 2016).
