Open to opportunities

ADITYA MULAY

@adityamulay

Data Scientist building pneumonia and market-prediction models, plus RAG copilots that run fully offline on your machine.

India

Message

What I'm looking for

I’m looking for opportunities as a Data Scientist / ML / AI Engineer where I can apply AI-driven solutions—especially predictive modeling, computer vision, and LLM+RAG systems—to real-world problems.

I build predictive models, computer vision systems, and Generative AI applications using LLMs and RAG, turning datasets into working pipelines and demos.

In one project, I trained a customCNN in PyTorch to classify chest X-ray images for pneumonia detection, wrapped it in a FastAPI prediction/training API, and deployed it on AWS using Docker with CI/CD via GitHub Actions.

I’ve also built an end-to-end stock movement predictor that fuses OHLCV data with financial news sentiment (VADER) and technical indicators (RSI, moving averages, volatility), then surfaced results through a Streamlit dashboard.

On the AI side, I created a local Retrieval-Augmented Generation chatbot that ingests PDFs, chunks and retrieves relevant context, and runs offline with open-source LLMs via Ollama—plus Markdown notes and quiz generation in Streamlit.

Experience

Work history, roles, and key accomplishments

Lung Disease Diagnosis using Deep Learning

Self Employed

Designed and trained a custom CNN in PyTorch to classify chest X-ray images for pneumonia detection, built as a modular pipeline exposed via a FastAPI prediction/training API.

Python PyTorch fastAPI Docker AWS GitHub Actions

Data Scientist / ML / AI Engineer

Self Employed

Seeking opportunities as a Data Scientist / ML / AI Engineer to apply AI-driven solutions to real-world problems.

Real-Time Face Anti-Spoofing System for Attendance

Self Employed

Developed a real-time face anti-spoofing system to prevent proxy attendance using a camera-based verification pipeline to distinguish live faces from spoofed media.

Python Computer Vision Deep Learning

Financial Market Prediction using News Sentiment Analysis

Self Employed

Engineered an end-to-end ML pipeline predicting next-day stock movement by fusing OHLCV market data with financial news sentiment and technical indicators.

Python scikit learn XGBoost NLP Streamlit

Event Organiser

Axis

Organised and managed the Junior Scientist event, handling logistics and participant coordination while developing event planning and time management skills.

Technical Secretary

Axis

Led and coordinated technical events and workshops, managing cross-functional teams and strengthening skills in team leadership and project planning.

AI Study Buddy

Self Employed

Built a local Retrieval-Augmented Generation (RAG) chatbot that ingests PDFs and retrieves relevant context for grounded question answering using open-source LLMs.

Python Ollama RAG Streamlit