Saurabh Kumar AI Engineer IIT Ropar profile photo

Hello, I'm

Saurabh

Full Stack AI Engineer
Ex-Project Associate - I @ IIT Ropar

LinkedIn GitHub

About Me

Saurabh Kumar AI Engineer IIT Ropar profile photo
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Experience

2+ years
Healthcare AI & Full-Stack Systems

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Education & Honors

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.

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Professional Experience

  1. Full Stack AI Engineer

    Healthy Vignettes

    July 2026 – Present

    • React/TypeScriptNode.jsPython/FastAPIAWSRAGVoice AIHIPAA & SOC 2
    • Own end-to-end development of healthcare products across React/TypeScript, Node.js, Python/FastAPI, databases, AI integrations, and AWS.
    • Extended an EHR platform with billing, patient wallet, pharmacy, investigations, referrals, consultations, diagnostic tests, and medical imaging workflows.
    • Built healthcare APIs connecting clinical, billing, pharmacy, and payment workflows; integrated Razorpay and Stripe.
    • Developed LLM/RAG-based insurance intelligence and a voice AI system for patient-facing healthcare workflows within HIPAA and SOC 2 requirements.
  2. Project Associate - I

    iHub-AWaDH @ IIT Ropar

    Oct 2025 – July 2026

    • LLMsFine-TuningNLPEvaluation PipelinesAWSTerraform
    • Fine-tuned large language models and experimented with neural network architectures for task-specific NLP applications.
    • Built automated evaluation pipelines and data-processing workflows covering dataset curation, inference, and model performance analysis.
  3. Mobile App Developer

    HBCH&RC New Chandigarh

    March 2024 – Oct 2025

    • FlutterNode.jsTypeScriptIBM AS/400IIS
    • Built and maintained a production Flutter application for digital hospital services and patient workflows.
    • Developed Node.js/TypeScript REST APIs integrated with hospital information systems and managed backend services on IIS.

Skills & Expertise

Languages

typescript

TypeScript

Experienced

javascript

JavaScript

Experienced

python

Python

Experienced

dart

Dart

Intermediate

Frontend

reactjs

React.js

Experienced

nextjs

Next.js

Intermediate

flutter

Flutter

Experienced

Backend

node-js

Node.js

Experienced

express-js

Express.js

Experienced

fastapi

FastAPI

Experienced

rest-apis

REST APIs

Experienced

AI / ML & Agents

llm

LLMs & Fine-Tuning

LoRA / QLoRA

voice-ai

Voice AI Agents

LiveKit / STT / TTS

mcp

AI Agents & MCP

FastMCP / Tool-use

rag

RAG Systems

Advanced Retrieval

pytorch

PyTorch & Hugging Face

Model Inference

nlp

NLP & Evaluation

Pipelines & Benchmarks

Databases

postgresql

PostgreSQL

Experienced

mongodb

MongoDB

Experienced

redis

Redis

Intermediate

db2

IBM DB2

Intermediate

chromadb

ChromaDB & Pinecone

Vector Search

firebase

Firebase

Intermediate

Cloud, Security & Payments

aws

AWS

Cloud Architecture

cloudflare

Cloudflare

Tunneling & R2

github-actions

GitHub Actions

CI/CD Pipelines

compliance

HIPAA & SOC 2

Healthcare Standards

ehr

EHR / EMR APIs

Clinical Workflows

payments

Razorpay & Stripe

Billing & Wallets

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Research & Qualifications

UGC-NET Qualified — Computer Science & Applications (2026)

National Eligibility 2026

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.

UGC-NET Qualified ✓

A Multi-Curricula Dataset and Benchmark for Elementary-level Math Word Problem Generation

Co-author April 2026

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.

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Featured Projects

Vani Voice Healthcare AI Agent

Vani — Voice Healthcare AI

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

Insurance AI Assistant

Insurance AI Assistant (RAG)

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

EHR Healthcare Management System

EHR Healthcare Platform

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

Afrolingual Multilingual Translation

Afrolingual — Translation

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

AnnoForge Computer Vision Annotation Platform

AnnoForge ©

Browser-based annotation platform for segmentation & object-detection datasets used in deep learning workflows including YOLOv8.

Tech: React.js, JavaScript, Canvas/Konva, Local Storage

TMC Punjab Saarthi

TMC Punjab Saarthi

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

Manya Healthcare

Manya Healthcare

Healthcare equipment rental, inventory, damage tracking, payments, feedback & callback management.

Tech: React.js, Node.js, Express, MongoDB

Select Sports

Select Sports

E-commerce and sports turf booking platform with real-time inventory and slot reservations.

Tech: Flutter, Next.js, PostgreSQL, Firebase, AWS S3, TypeScript

waste2wealth

waste2wealth

Sustainable waste management and recycling platform. Awarded 2nd Place at Project Expo (2023).

Tech: React.js, Node.js, Express, MongoDB

PoseForge

PoseForge ©

Image annotation tool for pose estimation and keypoint labeling with local browser data storage.

Tech: JavaScript, HTML5 Canvas, Local Storage

N-Queen Games

N-Queen Games

Interactive algorithmic puzzle and backtracking visualizer for the classic N-Queens problem.

Tech: JavaScript, HTML5, CSS3, Algorithms

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