hello, I'm

Parth Shah

I build AI systems
parth@portfolio
about

Parth Shah

CS student. Building at the intersection of AI and systems.

Computer Science undergraduate at Nirma University focused on backend systems, scalable APIs, and AI-powered automation. Experienced in building full-stack applications with secure authentication, real-time communication, and LLM-integrated workflows.

Open to work
Managing Director @ CSI Nirma
experience
Computer Society of India — Nirma University
Managing Director
July 2025 – Present · Ahmedabad, IN
  • Directed six technical events including CUBIX 2025 with 250+ participants
  • Coordinated HackNUthon 6.0 with 1200+ participants, overseeing end-to-end logistics and execution
  • Leading a core team of student coordinators across departments
  • Building partnerships between industry professionals and the student community
LeadershipEvent ManagementCommunity Building
projects
skills
Languages
Python
C++
SQL
TypeScript
LaTeX
AI / ML
LangChain
Streamlit
PyTorch
TensorFlow
Qiskit
Hugging Face
Frameworks & Libraries
React
Next.js
Node.js
Express
FastAPI
Prisma
Databases & Tools
PostgreSQL
MySQL
Supabase
Git
Docker
Linux
Socket.IO
achievements
0+Problems Solved
0Codeforces Rating
2026
1st Runner-Up — HACKaMINeD'26
National-level hackathon among 3,000+ participants. Built an AI-powered solution within a 48-hour competitive development cycle.
2025
Codeforces Rating 1178 — Top 20% Globally
Solved 200+ algorithmic problems on Codeforces, achieving a competitive rating in the top 20% of users worldwide.
2024
Smart India Hackathon 2024 — Regional Level
Led a 6-member team representing Nirma University at the regional level of India's largest student hackathon.
research
published

FedQ-Fraud: A Quantum-Enforced Federated Learning Framework for Financial Fraud Detection

A federated learning framework enforced with quantum mechanisms for detecting financial fraud across distributed systems while preserving data privacy. Presented at ACM MobiHoc 2025, Houston, USA.

Federated LearningQuantum ComputingFraud DetectionPrivacy
2025Paper
published

Q-PhishNet: Quantum-Secured Explainable Machine Unlearning for Phishing Detection in IoT Networks

A quantum-secured framework combining explainable AI and machine unlearning for phishing detection in IoT environments. Presented at IEEE GLOBECOM 2025 Workshops.

Quantum SecurityIoTPhishing DetectionExplainable AIMachine Unlearning
2025
contact

Let's talk.

Whether it's a project, opportunity, or just a hello.

Built by Parth Shah · 2026