Amit Das
@amitdas3
Research-driven data science student specializing in ML and web development.
IndiaWhat I'm looking for
I am a research-driven data science undergraduate with strong foundations in machine learning, web development, and LLM-based AI, blending publication experience with hands-on engineering. I have worked on transformer fine-tuning, LLM inference optimization, and built lightweight models using NanoGPT while analyzing architectures such as DeepSeek-R1 to guide training and diagnose failure modes.
My projects include building a YOLOv10-based mammogram anomaly detector published at ICMSCI-2025, fine-tuning T5 and BART for QA tasks, and developing coLLM — a collaborative Next.js/Supabase platform integrated with the Gemini API for real-time multi-user AI interaction. I also contributed backend systems using NodeJS, Sequelize, and PostgreSQL for competition-grade solutions.
I bring strong technical breadth in Python, R, C/C++, JavaScript/TypeScript, ML frameworks (TensorFlow, PyTorch), data tooling (NumPy, Pandas, Plotly), databases (Postgres, MySQL, MongoDB, Supabase), and development workflows (Docker, Git). I seek roles where I can apply research experience to build impactful AI and web products while continuing to learn and publish.
Experience
Work history, roles, and key accomplishments
Research Intern
College of Engineering Pune
May 2025 - Aug 2025 (3 months)
Explored LLM-based solutions for NLP tasks, fine-tuned transformer models and optimized inference, and built a lightweight NanoGPT-based model while constructing Chain-of-Thought prompt datasets to benchmark and analyze failure modes.
Education
Degrees, certifications, and relevant coursework
G. H. Raisoni College of Engineering, Nagpur
Bachelor of Technology, Data Science
2022 -
Grade: 9.65 CGPA
Activities and societies: Vice-Chairperson, IEEE CIS SBC GHRCE (Oct 2024 – Present); led technical logistics and crowd management.
Pursuing a BTech in Data Science with coursework in data structures, probability and statistics, data analytics, DBMS, machine learning, operating systems, and computer networks; current CGPA 9.65.
IHIIIT Hyderabad
Minor, Modern Machine Learning
2023 - 2024
Grade: A
Completed minors in Modern Machine Learning with coursework covering feature extraction, supervised learning, deep neural networks, CNNs, and clustering techniques; earned Grade A.
Availability
Location
IndiaAuthorized to work in
Job categories
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