TypeScript
Experienced
Hello, I'm
Full Stack AI Engineer
Ex-Project Associate - I @ IIT Ropar
2+ years
Healthcare AI & Full-Stack Systems
UGC-NET Qualified (2026)
MCA — Chandigarh University (CGPA: 8.03)
Full-Stack Engineer with 2+ years of experience building production healthcare applications and AI-powered systems. Strong in React, TypeScript, Node.js, Python, FastAPI, SQL/NoSQL, AWS, and REST APIs. Experience with EHR systems, payment integrations (Razorpay & Stripe), RAG applications, voice AI agents, LLM fine-tuning, and AI evaluation within HIPAA and SOC 2 environments.
Former Project Associate I at IIT Ropar specializing in task-specific NLP model experimentation and evaluation pipelines. UGC-NET qualified (2026) with deep interests in applied AI, healthcare intelligence, and industry-aligned PhD research collaborations.
Healthy Vignettes
July 2026 – Present
iHub-AWaDH @ IIT Ropar
Oct 2025 – July 2026
HBCH&RC New Chandigarh
March 2024 – Oct 2025
Experienced
Experienced
Experienced
Intermediate
Experienced
Intermediate
Experienced
Experienced
Experienced

Experienced
Experienced
LoRA / QLoRA
LiveKit / STT / TTS
FastMCP / Tool-use
Advanced Retrieval
Model Inference
Pipelines & Benchmarks
Experienced
Experienced
Intermediate
Intermediate
Vector Search
Intermediate
Cloud Architecture

Tunneling & R2
CI/CD Pipelines
Healthcare Standards
Clinical Workflows
Billing & Wallets
Eligible for Assistant Professorship and PhD research in Computer Science & Engineering. Research focus spans applied AI, Computer Vision, LLMs, and agentic systems. Open to industry-supported PhD opportunities and research collaborations aligned with real-world products.
Submitted to: Language Resources and Evaluation (Springer)
Research on dataset development and benchmarking methodologies for elementary-level math word problem generation systems, conducted during tenure at IIT Ropar.
Voice-to-voice healthcare agent enabling patients to interact naturally for appointment booking, cancellations, dosages, and patient support queries.
Tech: Plivo, LiveKit, STT/TTS, FastMCP, LLM, Python
RAG-based insurance intelligence allowing receptionists to instantly query policies. Serves as foundation for automated claim assistance & denial prediction.
Tech: LLMs, RAG, Hugging Face, ChromaDB, Python
Production healthcare modules covering billing, patient wallet, pharmacy, diagnostic tests, medical imaging, and HIPAA/SOC 2 compliant workflows.
Tech: React, TypeScript, Node.js, Python, SQL, Razorpay, Stripe
English/French to African local-language translation system leveraging Meta's NLLB model with low-latency FastAPI inference services.
Tech: Meta NLLB, FastAPI, Speech Processing, PyTorch
Browser-based annotation platform for segmentation & object-detection datasets used in deep learning workflows including YOLOv8.
Tech: React.js, JavaScript, Canvas/Konva, Local Storage
Production mobile app for Tata Memorial Centre (HBCH&RC) enabling OPD registration, patient records, and hospital workflow automation.
Tech: Flutter, Node.js, IBM DB2, Firebase, Windows IIS
Healthcare equipment rental, inventory, damage tracking, payments, feedback & callback management.
Tech: React.js, Node.js, Express, MongoDB
E-commerce and sports turf booking platform with real-time inventory and slot reservations.
Tech: Flutter, Next.js, PostgreSQL, Firebase, AWS S3, TypeScript
Sustainable waste management and recycling platform. Awarded 2nd Place at Project Expo (2023).
Tech: React.js, Node.js, Express, MongoDB
Image annotation tool for pose estimation and keypoint labeling with local browser data storage.
Tech: JavaScript, HTML5 Canvas, Local Storage
Interactive algorithmic puzzle and backtracking visualizer for the classic N-Queens problem.
Tech: JavaScript, HTML5, CSS3, Algorithms