AI engineer working on agentic systems, retrieval and LLM applications for healthcare and fintech. I build production pipelines end to end: data extraction, RAG, multi-agent orchestration, evaluation and deployment. I also contribute bug fixes to open-source AI/ML libraries.
Currently
- Data Scientist at Martlet AI, building clinical document classification and an AI assistant for medical coders and physicians.
- Co-founder and CTO of Causal Markets, building AI analytics and agent tooling for prediction-market traders.
- Contributing to open-source AI/ML projects: docling, sentence-transformers, MTEB, txtai, PEFT and more (full log).
13 merged, 25 in review across 18 repositories. Full log with commits and diffs: MaiAditya/oss-contributions
| Project | PR | What I fixed |
|---|---|---|
| neuml/txtai | #1561 | Routed a [ after an operator to bracket() in compound() so these expressions translate correctly. |
| reflex-dev/reflex | #7866 | Split strings by Unicode code points when the separator is empty, including runtime separators. |
| embeddings-benchmark/mteb | #5880 | Returned an empty ModelResult with the model name and revision, without loading the model. |
| embeddings-benchmark/mteb | #5879 | Filtered cached and merged results to the task's splits and subsets after saving, leaving the cache file intact. |
| docling-project/docling | #5244 | Joined the section label and title into one heading, e.g. ## 1. Introduction. |
| neuml/txtai | #1550 | Counted nested parentheses in function arguments so each function ends at its own closing paren. |
| neuml/txtai | #1535 | Split signs from operators when tokenizing SQL. |
| embeddings-benchmark/mteb | #5870 | Added euclidean and manhattan support to AbsEncoder and a memory-bounded chunked manhattan_sim. |
| docling-project/docling | #5283 | Added <preformat> and <code> blocks as code items, keeping line breaks and the code language. |
| embeddings-benchmark/mteb | #5864 | Delegated pairwise similarity to the sentence-transformers model's own similarity_pairwise. |
| huggingface/sentence-transformers | #4313 | Scored paraphrase mining with the model's own similarity function. |
| docling-project/docling | #5078 | Kept image-only tables as pictures with their labels and captions. |
| neuml/txtai | #1523 | Made each similar() clause keep its own number of results when clauses are batched. |
Data Scientist, Martlet AI · Jun 2026 – present
- Production agentic architecture combining classical ML and deep learning to identify and classify medical documents for patient charts (93.58% accuracy).
- AI assistant for medical coders and physicians to explore patient cohorts, clinical histories and coding workflows in natural language.
- Both systems are deployed with US pharmaceutical companies and healthcare organisations.
Co-founder and CTO, Causal Markets · Jan 2026 – present
- AI analytics, agentic automation and trading-intelligence products for prediction-market traders: 100+ DAU and 524+ users within weeks of launch.
- Three AI microtools (insider-trading detection, copy-trading intelligence, wallet analytics) serving 1,500+ users in the Polymarket community.
- Selected for Entrepreneur First, Antler founder cohorts and the Polymarket Builder Program.
Jr. Data Scientist, John Snow Labs · Jan 2025 – Jan 2026
- Multimodal agentic pipeline extracting images, tables and text from medical research PDFs for downstream NLP, retrieval and QA.
- LLM-powered SQL QueryBot over the OMOP clinical database using MCP, for natural-language querying of patient data.
- Reinforcement-learning-based guardrails framework against prompt-injection attacks, shipped as a private installable module.
- AI orchestration with Pydantic-AI, OpenAI APIs and Hugging Face models for RAG and structured generation.
Co-founder and CTO, SummonLM · Aug 2025 – Dec 2025
- AI-powered GEO automation and agentic content intelligence; 15+ product development contracts in the first months.
ML Engineer Intern, Nurix AI · Jul 2024 – Dec 2024
- LLM-powered agentic chatbot with Temporal and Conductor orchestration (20% faster responses).
- RAG-based agentic framework for API management (95% accuracy) using better chunking and re-ranking.
- Custom Airbyte source connector used in 10+ projects; copilot tools handling 80% of customer queries.
Indian Institute of Technology, Roorkee · 2020 – 2024 B.Tech, Metallurgical and Materials Engineering · CGPA 8.00/10
- Languages: Python, C++, SQL
- AI/ML: PyTorch, TensorFlow, Hugging Face, LangChain, Pydantic-AI, RAG, agentic and multi-agent systems, LLM evaluation and guardrails
- Models and APIs: OpenAI, Claude, Gemini, Mistral, Llama
- Infrastructure: AWS, Google Cloud, Docker, Redis, Temporal, Airbyte