Shaswat Ranjan
@shaswatranjan
I build full-stack AI platforms, RAG systems, and machine learning applications.
What I'm looking for
I built an AI engineering learning platform using FastAPI, React, TypeScript, PostgreSQL, Pyodide, and Mistral, with structured courses, an LLM-powered tutor, Mermaid diagrams, JWT authentication, and an in-browser Python playground.
I designed a provider-agnostic LLM abstraction layer that enables Mistral provider replacement through a single factory function. I also reduced the platform's main JavaScript bundle from 832KB to 361KB using dynamic imports and React.lazy.
At Radical Minds Technology, I applied supervised learning to real-world business datasets, taking pipelines from preprocessing through model evaluation for classification and regression. I evaluated models using accuracy, precision, recall, and F1-score metrics and gained exposure to practical ML deployment alongside senior engineers.
I've also built a RAG-powered document intelligence system and an ML-powered chess game, while leading technical events, workshops, and hackathons at NIT Durgapur.
Experience
Work history, roles, and key accomplishments
Machine Learning Intern
Radical Minds Technology Pvt Ltd
May 2025 - Jun 2025 (1 month)
Applied supervised learning techniques on real-world business datasets, covering end-to-end pipelines from data preprocessing to model evaluation. Worked with classification and regression models, evaluating performance using accuracy, precision, recall, and F1-score metrics.
Education
Degrees, certifications, and relevant coursework
National Institute of Technology, Durgapur
Bachelor of Technology, Computer Science and Engineering
2023 -
Pursuing a B.Tech in Computer Science and Engineering, expected to graduate in May 2027.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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