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I build AI systems that go beyond demos — production-ready pipelines,
real UX, and logic that handles when things go wrong.
GenAI · Full Stack · NLP · Computer Vision
Research Intern at IIT Kharagpur, working with Dr. Ritesh Sarkhel (Ex-Applied Scientist, Amazon) on explainable agentic fraud detection — currently running baseline experiments on world models (STORM, TransDreamer, WALL-E 2.0, WorldCoder) over financial transaction trajectories.
Third-year CS student at LPU who got tired of tutorial projects. I build actual things — an AI support system with semantic routing and human escalation, a sales intelligence tool that reads call transcripts with RAG, a real-time sign language detector. The kind of stuff you can show someone and they immediately understand what it does.
My stack is Python + JavaScript depending on what the problem needs. I'm comfortable going from model fine-tuning all the way to deploying a React frontend on Firebase.
ksolves-resolveAI — enterprise AI support automation. Local LLMs, semantic routing, LLM fallback chain, audit logs, human escalation. Think: Intercom but the first responder is an AI that actually knows when to give up and hand off.
Not just completed — top-ranked. Out of 23,139 candidates, I scored 94% and earned the Elite + Gold Badge — given only to the highest percentile. This isn't a participation certificate.
| Course | Issuer | Score | Badge |
|---|---|---|---|
| Human Computer Interaction | NPTEL · IIT Madras | 94% | 🥇 Elite + Gold |
🔥 ProjectsRelevant to everything I build — because shipping AI products nobody can use is just expensive waste.
| Project | What it does | Stack |
|---|---|---|
| ksolves-resolveai | AI support system — semantic routing, LLM fallback, human escalation, full audit trail | JavaScript, LLMs, Node |
| sales-call-intelligence | Reads sales call transcripts — extracts intent, objections, decisions using RAG + FAISS | Python, FAISS, LangChain |
| ASL Detector | Live webcam CNN that classifies A–Z hand signs with confidence scoring | Python, TensorFlow, OpenCV |
| Serverless Event Platform | Event management platform — real-time updates, auth, dashboards, Firebase workflows | React, Firebase, JavaScript |
| Job Role Clustering | NLP pipeline — Sentence-BERT embeddings + KMeans clusters thousands of job descriptions | Python, Sentence-BERT, NLTK |
AI / ML
Web & Cloud
Note: GitHub shows HTML as my top language because several ML project frontends use it — the actual logic is Python. Check the repos directly.
LinkedIn: linkedin.com/in/shubhamgupta407
I'm actively looking for internships and remote roles in AI/ML or full stack development. If you're working on something interesting, I'm faster to respond than most.
Hybrid enterprise AI support automation platform using local models, semantic routing, LLM fallback, audit logs, and human escalations.
JavaScript 1
AI-powered enterprise SaaS — sales call intelligence platform with RAG pipeline, FAISS vector search, real-time analytics, system topology, audit logs, and intelligence deck generation
JavaScript 1
Built for technical hiring teams who are tired of opening 10 GitHub tabs per candidate. GitAnalyze automates the entire profile evaluation process — scoring, stack detection, project analysis, and …
JavaScript 2
Serverless event management platform with real-time updates, built using React and Firebase, featuring authentication, dashboards, and event workflows.
JavaScript 1
Built an unsupervised NLP system to cluster LinkedIn-style job descriptions using Sentence-BERT embeddings and KMeans. Performed text cleaning with NLTK, generated semantic embeddings, evaluated cl…
HTML 1
A patented AI system that gives every LLM output a quantified trust score using independent verification + multi-pass inference consistency analysis.
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