AI agent
ShippedStudent GitHub Reviewer
An AI agent that reviews a student's GitHub portfolio. A LangGraph pipeline drives Llama 3.1 (via Groq), served by a FastAPI backend on Render with a Streamlit UI.
Open to remote AI/ML & full-stack internships
I build AI agents, RAG pipelines, ML models and MERN web apps.
AI/ML & Full-Stack Developer. I build AI agents (LangGraph, RAG, LLMs), ML models in Python, and MERN web apps.
01about
I'm a third-year B.Tech student in Computer Science & AI at Newton School of Technology, based in the Greater Kolkata Area. I learn by shipping real projects: AI agents built with LangGraph and LLMs, machine-learning models in Python, and MERN web apps deployed on Vercel and Render.
I'm most interested in AI agents and applied ML, and I'm comfortable across the stack, from a FastAPI or Express backend to a React front end. Right now I'm looking for remote AI/ML or full-stack internships.
02skills
03projects
AI agent
ShippedAn AI agent that reviews a student's GitHub portfolio. A LangGraph pipeline drives Llama 3.1 (via Groq), served by a FastAPI backend on Render with a Streamlit UI.
Audio ML · classification
ShippedClassifies infant cry audio into 8 need states: hungry, tired, belly pain, burping, scared, lonely, discomfort and cold/hot. 511 cleaned clips become a 218-dim librosa feature vector (MFCC, delta-MFCC, log-mel, chroma, spectral contrast, tonnetz, ZCR, RMS) fed to a cost-sensitive Random Forest (300 trees, balanced class weights, 5-fold stratified CV).
Honest read: the dataset is heavily imbalanced (~75% "hungry"), so accuracy flatters the model. Macro F1 is the metric I'm working to improve. Next: data augmentation and a CNN on log-mel spectrograms.
ML · course project
ShippedPredicts, the night before departure, whether a New York flight will arrive 15+ minutes late, using 336,776 departures from 2013 (nycflights13). Past-only features with a leakage test, a chronological train/validation/test split, logistic regression vs XGBoost, Platt calibration with rolling recalibration, and a what-if rescheduling analysis.
Honest read: December test set. Rolling recalibration cut calibration error (ECE) from 0.102 to 0.047, but at precision ≥ 0.5 recall is only 0.035. There's no weather data, which limits day-ahead accuracy.
Hackathon · Dec 2025
ShippedCo-built at Construct Hackathon and launched on Product Hunt. An AI agent asks students cognitive questions to uncover their real interests, then generates personalised career suggestions, roadmaps and college options.
MERN · health records
ShippedA personal health record manager to upload, organise and share medical reports securely. JWT auth, role-based access, protected routes and CRUD REST APIs. Frontend on Vercel, backend on Render.
React · e-commerce
ShippedA React e-commerce cart: products fetched from MockAPI, add-to-cart from product cards, quantity controls (1–10), real-time totals and a simulated checkout flow. Multi-page navigation with React Router, responsive on mobile, tablet and desktop. Deployed on Vercel.
Personal finance · in progress
In progressAn expense tracker built step by step with Claude Code. The Flask app has its landing, register and login pages in place; authentication, profile and add/edit/delete expenses are the next steps.
Networking · team project
Side questPrivate DNS → nginx HTTPS edge → two load-balanced backends, with each step verified using dig, curl and Wireshark.
Data viz
Side questBlinkit grocery sales KPIs and outlet performance; Uber trip demand and revenue analysis.
Algorithms
Side questMy NeetCode / LeetCode solutions, written in Python.
04experience & education
Every level is a real milestone. Scroll to play through it.
Newton School of Technology · – · currently in 3rd year
Started the degree and began practising DSA in Python with NeetCode and LeetCode.
Built a React e-commerce cart with live pricing, quantity controls and a simulated checkout, and deployed it on Vercel.
Self-Directed Projects · Remote
Co-built an AI career-guidance platform during the hackathon, then launched it on Product Hunt.
A LangGraph pipeline drives Llama 3.1 (via Groq) to review a student's GitHub portfolio, served by FastAPI on Render with a Streamlit UI.
Classified infant cry audio with librosa features and a cost-sensitive Random Forest, predicted flight-delay risk with calibrated XGBoost, and built Tableau dashboards for Blinkit and Uber data.
Looking for a remote AI/ML or full-stack internship where I can ship real features and learn from experienced engineers.
Send an invite05badges
Co-built Cognify at Construct Hackathon.
Launched Cognify on Product Hunt.
Three live deployments: MediTrack, QuickCart and Cognify.
A LangGraph agent driving Llama 3.1 via Groq.
MERN app with JWT auth and role-based access.
Reports macro F1 and calibration, not just accuracy.
Private DNS → nginx HTTPS → load-balanced backends.
NeetCode / LeetCode solutions in Python.
Locked. Your team could unlock it.
06contact
Let's talk. I'm open to remote AI/ML and full-stack internships. Email is the fastest way to reach me.