01
Build end-to-end, not in silos
I work across product, backend, and AI so the system feels cohesive.
CSE student at TIET. I ship end-to-end web platforms and AI‑powered pipelines — real-time systems to edge-optimised ML. Depth and delivery, together.
Tech Stack Depth
Internships
Projects

CSE · TIET
Brahmjeet Singh
Full-Stack + AI Engineer
Ibuildscalablesoftware,AI-poweredsystems,andrealproductsthatmovefromconcepttoproductionwithclarity,speed,andengineeringdepth.
About Brahmjeet
Computer Science student at TIET building full-stack products, AI-powered systems, and performance-oriented software with a focus on clean architecture and real delivery.
Snapshot
I move comfortably between AI pipelines, realtime product engineering, and systems work, which lets me think at the product level without losing technical depth.
01
I work across product, backend, and AI so the system feels cohesive.
02
From realtime MERN apps to edge AI, I optimize for clarity, scale, and resilience.
03
I care about results teams can feel: faster onboarding, stronger throughput, and trust.
Tech Stack
Full-stack, AI/ML, realtime infrastructure, and systems work in one focused toolkit.
Stack Summary
20+
core technologies across full-stack, AI, and systems
03
major domains: products, pipelines, and performance
02
internships applying these skills in real environments
Working Style
Interfaces, APIs, and AI systems that work cleanly together in production.
Core Toolkit
Core technologies I use most often.
Selected Work
Case Study 01
ShippedFull-Stack
Premium BuildEnd-to-end placement tracker for engineering colleges with AI, real-time notifications, and role-based dashboards.
Full-stack MERN platform that replaces Excel sheets and WhatsApp groups for college placement management - with AI interview prep, real-time notifications, and analytics.
Key Highlights
-3-role dashboards with JWT RBAC + Google OAuth
-Socket.io + Bull fanout to 500+ students
Case Study 02
CompleteSystems
Premium BuildPerformance Engineering of ETL Pipelines in C++
A systematic ETL performance study across Sequential, Optimized, and Pipelined Multithreaded execution models on datasets from 500K to 2.5M records.
Key Highlights
-3 execution models benchmarked end-to-end
-Chunk tuning (100-500) across 500K-2.5M records
Case Study 03
ShippedRealtime
Premium BuildReal-Time Chat Application (Full Stack) - September 2025
Created a full-stack real-time chat application using React, Node.js, Socket.IO, and MongoDB, supporting one-to-one and group chats, real-time updates, and persistent message history.
Key Highlights
-1:1 + group chat with realtime updates
-JWT auth + delivery/read receipts
Case Study 04
ShippedVision
Premium BuildComputer Vision, OpenCV - April 2025
Automated attendance tracking with real-time face recognition, capturing entry/exit logs with high accuracy and generating daily reports.
Key Highlights
-Realtime attendance + daily report generation
-KDTree embedding search for fast recognition
Engineering Journey
From strong systems fundamentals to internships, shipped products, and technical leadership, the journey is now less about theory and more about real execution in environments that demand delivery.
Foundation
Built on C, C++, data structures, and disciplined systems thinking.
Execution
Shipped AI pipelines, realtime products, and performance-oriented systems.
Direction
Now focused on production-grade software, scalable AI architecture, and systems-level engineering.
Auraflo
Worked on multimodal AI delivery, contributed to production-minded intelligence systems, and helped lead execution across the team with sharper technical coordination.
Impact
Improved onboarding flow and documentation quality while shipping real AI work.
ELC
Built across full-stack product development and AI-backed workflows, moving between backend logic, application features, and practical delivery.
Impact
Strengthened end-to-end engineering across MERN applications and applied AI implementation.
LeetCode Profile
Alongside product work, LeetCode is where I keep problem-solving sharp. It reflects consistency, algorithmic thinking, and the habit of improving under constraints.
A dedicated space for algorithmic practice, structured thinking, and long-term interview preparation.
Problem Solving Rhythm
Consistent
DSA Depth
Growing
Interview Readiness
Sharpening
Let’s Connect
Whether you're looking for a full-stack engineer, an AI integration specialist, or someone who can do both, I'm open to the conversation. Let's connect and figure out what we can build together.