Currently focusing on AI research in neural networks and automata theory. Building Project अर्थ (Artha) on the side. Resume. See code GitHub. Subscrible on LinkedIn, X, YouTube.
Currently focusing on AI research in neural networks and automata theory. Building Project अर्थ (Artha) on the side. Resume. See code GitHub. Subscrible on LinkedIn, X, YouTube.
Consulting, AI Engineering
December 2025 —
- •Building AI products for small enterprises. Autonomous agents for research, development and sales.
Software Engineer, CVE Lead
March - Dec. 2025, Bangalore
Tune AI was acquihired by Ema Unlimited in March, 2025.
- •Leading post sales implementation for several F50 clients. End to end lifecycle from discovery to delivery.
- •Built 2+ internal tools. Reduced effort by multiple hours/week/employee.
After moving to Post Sales team, I realised the challenges of project management. Led building CVE-One AI for post sales team to automate project management. Used by multiple teams to track updates for a project.
Head of Research
Dec. 2020 — Feb. 2025, Chennai, Bangalore & San Francisco
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. Led AI solutioning working directly with Abu Dhabi F1 organizer (Ethara), world’s largest scientific contents product (Clarivate), and Intel. Projects became biggest revenue drivers for Tune AI. Backed by: Accel, Together Fund, Techstars, Venture Catalysts, Cornerstone Venture Partners, Chennai Angels, and Astarc Ventures.
Key Achievements
- •Successfully delivered multiple enterprise projects from ideation to production combined revenue of $140K+
- •Developed AI Agents reducing sales TAT from 14 days → 5 minutes by auto generating 200+ slide long PPT presentation and is highly personalized for each prospect and potential event, following the design guidelines. Works from inside MS Teams to answer any question via chat interface.
- •500K+ users on Tune Chat and finetuned 100+ models on Tune Studio
- •Mentor & Judge - Hack MIT 2024 & PennApps XXV in September 2024. In person at MIT, Cambridge & University of Pennsylvania, Pennsylvania.
- •Architected large data processing pipeline to run inference on 100K+ documents/day for extraction task with 96% accuracy.
- •With Intel we delivered a whitepaper on OpenVino, delivering 20x faster Mask-RCNN
Product developement for features in Tune and NimbleBox:
- •Blob : Client facing agent and configurable assistant in Studio. Full framework for building agents and interface over API.
- •ChainFury : Tool for chain of thought prompting. Implemented end to end with UI and backend.
- •Saturn + Silk : Distributed code execution and storage engine that could run any DAG workflow of arbitrary python functions. Ensured retries and rollbacks on errors. A layer on jupyterkernelgateway that could be connected with K8S to run code as a service. This was our take on AWS lambda.
- •LMAO : General purpose logging and rule based alerting system with UI rule builder.
- •Lot of eventually forgotten code
AI Consultant
NPAW, Spain
Dec. 2020 — March 2021, Remote
Research and develop a Grafana plugin agent that converts user input in natural langauge to charts. The novel solution used a decision tree to parse the query parameters based on prompting. Deployed model sharded GPT-2 1Bn on 2 Nvidia-3090 GPUs to maximise the context length for each input query.
ML Engineer
July 2019 — Nov. 2020, Ahmedabad
- •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 UATs
- •(Kaaenaat, Bangalore, April 2018 — Oct. 2018) Upgraded Kount via live traffic analysis (Dynamic Trajectory Clustering and Anomaly Detection) on embedded devices for edge applications; developed an in-house application for high-speed Image Segmentation.
- •(Connecticus, Pune, May 2017 — July 2017) Built an ML-based FAQ module for NESSA using End-to-End Memory Networks and NLP tasks including POS tagging, stemming, and lemmatisation.
- •(MasterSoft ERP, Nagpur, May 2016 — July 2016) Designed a Python 3 toolkit for rapid infographic deployment within ERP solutions, utilizing pandas, numpy, and ggplot2.
Developer, Project अर्थ (Artha)
Building world's largest digital enclyclopaedia for ancient Indian literature. Spend time reading, curating and digitising books, editing and compiling the digital Encyclopaedia. Indexed 6,363+ articles, 3+ books, 103,211+ shlokas with unique ids. Read code and contribute.
AI Researcher
I spent a lot of time in-between jobs working on AI application research.
- •Research on 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.YouTube
- •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.GitHub
B. Tech. in Electronics and Telecommunication
National Institute of Technology Raipur (NIT Raipur)
May 2015 — May 2019, Raipur
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 - 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).
Worked on building AI powered Indian sign language detector for Texas Instruments' challenge. Implemented transformer network for speech to text for Microsoft's challenge (MSAIC).GitHub