Skip to content
View MaiAditya's full-sized avatar
💭
focusing on what's next
💭
focusing on what's next

Block or report MaiAditya

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
MaiAditya/README.md

Hi, I'm Aditya Gupta

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).

Open-source contributions

14 merged, 27 in review across 19 repositories. Full log with commits and diffs: MaiAditya/oss-contributions

Project PR What I fixed
huggingface/peft #4157 Fixed BOFT kernel shapes and made OFT Conv2d rotate the weight in forward, matching its merged output.
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.

Experience

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.

Education

Indian Institute of Technology, Roorkee · 2020 – 2024 B.Tech, Metallurgical and Materials Engineering · CGPA 8.00/10

Skills

  • 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

Contact

LinkedIn · GitHub

Pinned Loading

  1. CricketChabot_Finetuning_Falcon7bQLoRA CricketChabot_Finetuning_Falcon7bQLoRA Public

    Jupyter Notebook

  2. Detecting-Generated-Text----BERT-Model Detecting-Generated-Text----BERT-Model Public

    Jupyter Notebook

  3. CricketChatbot---RAG CricketChatbot---RAG Public

    Jupyter Notebook

  4. Movie-Recommendation-System Movie-Recommendation-System Public

    The project is purely based on recommendaing movies and sentimental analysis on the given reviews.

    Jupyter Notebook

  5. Brain-MRI-Segmentation---ResUnet Brain-MRI-Segmentation---ResUnet Public

    Jupyter Notebook

  6. Cancer-Prediction Cancer-Prediction Public

    A model created with the help of Machine Learning Algorithms which predicts on the given data whether the person should be diagnosed with cancer or not.

    Jupyter Notebook