Abhishek Jha
@abhishekjha10
Data Scientist building production-ready AI products with LLMs, RAG, and computer vision.
What I'm looking for
I’m an IIT Madras Data Science graduate building end-to-end AI products with Python across deep learning, LLMs, RAG, multi-agent systems, and computer vision—focused on scalable, production-ready solutions for real-world problems in healthcare, automation, and decision intelligence.
Recently, I engineered a deep learning-based fundus image classifier for 5 retinal disease classes and helped launch an AI-powered web platform in under 3 months. I’ve also delivered high-impact intern projects—like a Streamlit fruit freshness system reaching 99.8% validation accuracy and medical workflow automation using Python and 3D imaging tools—while owning experimentation, deployment workflows, and platform integration.
Experience
Work history, roles, and key accomplishments
Data Scientist
Trackleo Technologies Pvt. Ltd.
Feb 2026 - Present (4 months)
Engineered a deep learning fundus image classifier for 5 retinal disease classes and helped launch the company’s first AI-powered web platform within 3 months. Built production AI workflows using Python, SQL, FastAPI, Docker, MLflow, Kubernetes, and CI/CD for model experimentation and deployment.
Virtual Data Scientist
AtliQ Technology
Dec 2025 - Jan 2026 (1 month)
Built a CNN/ResNet50 fruit freshness classification system with a Streamlit app, achieving 99.8% validation accuracy for real-time image predictions. Automated freshness inspection, reducing evaluation time from hours to minutes and improving review productivity by ~80% using ML and agentic GenAI/NLP techniques.
AI Product Engineering Intern
Web Karo India
Jan 2025 - Sep 2025 (8 months)
Architected an AI-powered collaborative productivity platform that unified Kanban, calendars, notes, whiteboards, AI assistants, voice commands, and workflow automation into a single app. Improved task efficiency by ~35% by integrating multiple productivity services through Python-based development, API integration, and automation.
AI Developer
Sudha Gopalakrishnan Brain Centre
Nov 2025 - Present (7 months)
Built 11 MCP tools for 3D Slicer using Python to enable natural-language interaction for brain MRI visualization and analysis. Streamlined clinical research workflows, reducing scan viewing, navigation, and analysis time by ~60% using medical imaging pipelines, headless automation, GenAI tools, and FastAPI.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology Madras
Bachelor of Science, Data Science and Applications
2023 -
BS in Data Science and Applications at IIT Madras starting in September 2023.
Availability
Location
Authorized to work in
Job categories
Skills
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