AI/ML Engineer | LLM & RAG Specialist | 2nd-Year CS Student
Building production-ready AI systems with LLMs, Retrieval-Augmented Generation (RAG), prompt engineering, and scalable backends. Passionate about transformers, fine-tuning, agents, and deploying intelligent applications that solve real problems.
- 🌱 Deep into LLMs, RAG pipelines, prompt engineering, and scalable AI architectures
- 🚀 Shipped 20+ projects (10+ deployed) as a 2nd-year student
- 🏆 20+ hackathons | 3× finalist (incl. international) | 1 win
- 📊 Kaggle: Active participant in ML competitions (best rank: top 500)
- 🏢 3 internships: Deloitte, IBM-backed, and current Prompt Engineering (remote)
- 🎯 Open to remote AI/ML/LLM internships & entry-level roles (international welcome!)
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PDF RAG Chatbot — Advanced RAG system with vector DBs (Chroma/FAISS), embeddings, hallucination reduction, and FastAPI backend for accurate document Q&A
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CareerBot AI Pro (Portfolio & Resume Builder) — High-performance full-stack app using Python Flask + Groq Llama-3 70B. Generates ATS-optimized resumes in <1.5s using the STAR method. Includes exponential backoff for API resilience, real-time Markdown-to-PDF export, and built-in ATS checker.
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MedAssist AI — Multimodal health assistant: symptom analysis, disease prediction, image input, voice interaction, and precaution recommendations
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HealthShield AI — Supervised ML model for disease prediction (90%+ accuracy via hyperparameter tuning)
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Sentinel AI — AI-powered phishing/URL safety detector
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LLM Playground — Experiments with tokenization, fine-tuning, text generation, and prompt engineering
Repo
Built 10+ deployed apps (Streamlit, Vercel, Hugging Face Spaces, FastAPI/Flask).
More → Explore pinned repos!
Prompt Engineering Intern — Future Interns (Remote)
March 2025 – Present
- Crafting, chaining, and optimizing prompts for LLMs to boost reasoning, creativity, output quality, and task performance
- Building AI-powered content pipelines (e.g., YouTube scripts, thumbnails via prompt engineering)
- Testing & evaluating prompt effectiveness for real-world applications
Python Technology Intern — Deloitte
- Built scalable Python data processing scripts; reduced manual effort
- Optimized Flask/FastAPI backend APIs for internal services
- Implemented automated testing to boost code reliability
AI & ML Intern — Edunet Foundation (AICTE × IBM)
- Developed & deployed supervised ML disease prediction model (90% accuracy)
- Fine-tuned hyperparameters; cleaned large datasets with Pandas/NumPy
- Leveraged IBM Cloud tools for scalable ML pipelines
Open to collaborations, remote opportunities, or just geeking out over transformers & RAG!
Made with ❤️ in Kolkata
