Hey there, I'm

Sujal
Mallick.

CS Engineer

Download CV Contact Info
Sujal Mallick
01 / About

Building at the intersection
of systems and intelligence.

Computer Engineering student at Thapar Institute of Engineering & Technology (TIET), Patiala with hands-on experience in Full-Stack Development, AI Engineering, Cloud Computing, Software Testing, and CDN Development.

Passionate about building scalable, AI-powered applications and delivering reliable, high-performance software solutions using modern technologies.

Technical Depth

Frontend
React Vite Tailwind CSS
Backend & Data
FastAPI SQLAlchemy PostgreSQL
AI & Parallel Systems
LangGraph Gemini API CUDA / C++ OpenCL
Infra & Cloud
AWS EC2 AWS S3 / CloudFront Docker
02 / Experience

Where I've applied
the craft.

June 2026 — Present Internship

Software Testing & CDN Development Intern

Aumbram
  • Contributed to Software Testing and CDN Development by validating features, identifying defects, and supporting performance optimization across web and mobile applications.
  • Collaborated with developers to reproduce, document, and verify bugs while ensuring timely resolution and improved product quality.
  • Designed and executed comprehensive test cases covering functional, regression, UI, and edge-case scenarios.
React Native Android Studio Manual Testing QA Methodology Bug Lifecycle Test Case Writing
03 / Projects

Things I've
built.

BugMind AI

Solo Project · Flagship

A QA automation platform that turns a product description into structured test coverage — automatically. Built solo from scratch, it orchestrates a multi-agent LLM pipeline to generate module breakdowns, feature checklists, and detailed test cases end-to-end.

Pipeline Architecture
module_agent checklist_agent test_case_agent
LangGraph orchestration · Gemini API · LiteLLM abstraction (BYOK → dev .env → FreeLLMAPI fallback)
React / Vite / Tailwind FastAPI / SQLAlchemy / PostgreSQL LangGraph Gemini API LiteLLM

Collision Detection System

Team Project (4 members) · My role: Frontend, Backend, AWS Deployment

Cloud-deployed AI accident-detection platform built with a four-person team. YOLO-based real-time vehicle detection paired with a CNN collision classifier — served via a Dockerized FastAPI backend on AWS EC2, with a React / TypeScript / Vite frontend distributed through AWS S3 and CloudFront.

React / TypeScript / Vite FastAPI / Docker YOLO / CNN AWS EC2 / S3 / CloudFront

swarm-cuda

Fork Extended · GPU Systems

Extended a GPU-accelerated open-source CUDA boids simulator. Added a spatial-hash neighbour search, CUDA–OpenGL interop for zero-copy rendering, and an interactive ImGui control panel — scaling real-time agent simulation to 100k+ boids.

CUDA / C++ OpenGL ImGui Spatial Hash
04 / Contact

Let's build something
worth building.

Open to full-time roles, internships, and serious collaboration. Reach out directly or drop a message using the form.

Email sujalmallick123@gmail.com