Hi, I'm Prabhmannat
Full-Stack and GenAI Engineer building AI agents, RAG systems, scientific simulations, and production web products.
PS

About

I am a Computer Science and Business Systems undergraduate at Chandigarh University and the co-founder of InGen Labs. My work spans full-stack product engineering, generative AI, and applied research - from proof-first hiring agents and text-to-simulation STEM labs to medical model fusion and data-driven astronomy. I have won 11+ hackathons, presented at London Tech Week 2026, conducted research with the University of Sydney, and published work on medical AI and multimodal human-computer interaction.

Work Experience

Skills

React
Next.js
TypeScript
Node.js
Python
RAG & Agentic AI
PostgreSQL / Supabase
Docker
Kubernetes
Java
Go
Selected Projects

Products and research systems

I build full-stack products at the intersection of generative AI, talent intelligence, scientific simulation, and healthcare.

InGen - Proof-First Hiring

A talent-intelligence platform that converts ambiguous hiring needs into clear role briefs, verifies candidate evidence from sources such as GitHub and LinkedIn, and produces interview-ready shortlists through specialized AI agents.

Next.js
TypeScript
Node.js
AI Agents
RAG
PostgreSQL

VLab Text-to-Simulation

An AI-powered STEM learning system that translates natural-language and voice instructions into interactive WebGL simulations, supported by an adaptive tutor and learning telemetry for real-time guidance.

React
Next.js
WebGL
NLP
Node.js
AWS

Swasth AI Model Fusion

A unified healthcare research platform that combines CNN-based imaging analysis, LSTM-based patient-vital modeling, and transformer-based clinical-text understanding to produce structured diagnostic insights.

Python
PyTorch
TensorFlow
React
Model Fusion
Medical AI

Enterprise RAG Assistant

A citation-first knowledge assistant that combines retrieval-augmented generation with search, summarization, and reporting agents to support dependable internal knowledge workflows.

LangChain
LangGraph
LlamaIndex
OpenAI API
Vector Search
Python
Achievements

Selected recognition

Across 11+ hackathon wins, international presentations, research grants, and startup programs, I have focused on turning ambitious ideas into working products and research outcomes.

Top Selected Presenter - London Tech Week 2026

London, United Kingdom

Selected to present research at London Tech Week, gaining international exposure at a global technology and innovation platform.

Winner - Project Expo 2026

Chandigarh University

Won first place at the institute level as an all-category winner for work on AI-assisted medical-device design and simulation technology.

Winner - HackShastra 2026

India

Secured first place for innovation, technical execution, and solving a practical product problem.

Exemplary Achievement Award

Abhyuthanam, Chandigarh University

Recognized for contributions across innovation, research, entrepreneurship, and technical achievement.

2nd Place - Monash University Global Hackathon

International / Online

Ranked second out of more than 800 teams in a global competition organized by Monash University.

Google Startup People's Choice Award

Google Sydney HQ, Australia

Received the People's Choice Award for Ingenium's innovation and potential impact in education technology.

Winner - Smart Tech Ideathon 2.0

Chandigarh University

Won the Revolutionizing Education domain with an AI-powered learning concept focused on personalization and accessibility.

Winner - ThinkLab Ideathon

Chandigarh University

Secured first place with Ingenium, an AI-driven learning and productivity platform.

Smart India Hackathon Pre-Finalist

India

Built an automated compliance checker for legal-metrology declarations on e-commerce platforms for problem statement 25057.

Shark Tank India Startup Pitch

CU Ignite and Sandbox

Presented startup work to Shark Tank India judges Aman Gupta and Anupam Mittal through Chandigarh University's entrepreneurship programs.

University of Sydney INCUBATE Funding

Sydney, Australia

Secured USD 1,000 in product-development support for Ingenium through the University of Sydney INCUBATE program.

Research and Innovation Grant

University Innovation Cell

Received INR 60,000 through the Corporate Advisory Board and University Innovation Cell to support innovation-driven research and development.

Reads

My Go-to Reads

Books that shaped how I think and build in 2025 - 2026. Try hovering the books :)

The Pragmatic Programmer by Hunt & Thomas

The Pragmatic Programmer

Hunt & Thomas

Designing Data-Intensive Applications by Martin Kleppmann

Designing Data-Intensive Applications

Martin Kleppmann

Clean Code by Robert C. Martin

Clean Code

Robert C. Martin

The Almanack of Naval Ravikant by Eric Jorgenson

The Almanack of Naval Ravikant

Eric Jorgenson

Zero to One by Peter Thiel

Zero to One

Peter Thiel

Deep Learning by Goodfellow et al.

Deep Learning

Goodfellow et al.

Contact

Get in Touch

I am open to full-time roles, internships, research collaborations, and focused product work. Reach me on LinkedIn or email me at contact@prabhmannat.site.

GitHub
LinkedIn