BrahmjeetSingh
Brahmjeet.
Brahmjeet Singh

Building systems
with intelligent
execution.

Full-Stack Engineer

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

Full-Stack

Internships

02

Projects

10+
Brahmjeet Singh

CSE · TIET

Brahmjeet Singh

Full-Stack + AI
Systems
Products
AI / ML
Open to opportunities
2025

Full-Stack + AI Engineer

Ibuildscalablesoftware,AI-poweredsystems,andrealproductsthatmovefromconcepttoproductionwithclarity,speed,andengineeringdepth.

About Brahmjeet

Product instinct, AI depth, and engineering discipline.

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.

Full-Stack + AISystems ThinkingProduction Mindset

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.

Open to internships, full-time SDE roles, and freelance work
Strongest in MERN, AI integration, backend architecture, and C++ systems work
Full-stack product engineering with AI as a foundation, not an add-on

01

Build end-to-end, not in silos

I work across product, backend, and AI so the system feels cohesive.

02

Move fast without breaking architecture

From realtime MERN apps to edge AI, I optimize for clarity, scale, and resilience.

03

Turn technical depth into measurable impact

I care about results teams can feel: faster onboarding, stronger throughput, and trust.

Tech Stack

The stack behind the products I ship.

Full-stack, AI/ML, realtime infrastructure, and systems work in one focused toolkit.

Stack Summary

Built for intelligent, scalable software.

20+

core technologies across full-stack, AI, and systems

03

major domains: products, pipelines, and performance

02

internships applying these skills in real environments

Frontend systems
Backend and APIs
Realtime architecture
Computer vision and deep learning
Systems programming in C++
Edge-aware AI deployments

Working Style

Interfaces, APIs, and AI systems that work cleanly together in production.

Core Toolkit

Core technologies I use most often.

Selected Technologies
Render logo

Render

C++ logo

C++

React logo

React

Python logo

Python

NumPy logo

NumPy

JavaScript logo

JavaScript

Node.js logo

Node.js

Express logo

Express

MongoDB logo

MongoDB

C logo

C

Socket.IO logo

Socket.IO

WebSockets logo

WebSockets

SQL logo

SQL

FastAPI logo

FastAPI

Pandas logo

Pandas

OpenCV logo

OpenCV

JWT logo

JWT

Redux logo

Redux

Git logo

Git

Linux logo

Linux

GitHub logo

GitHub

Postman logo

Postman

MongoDB Compass logo

MongoDB Compass

VS Code logo

VS Code

CNN logo

CNN

LSTM logo

LSTM

Raspberry Pi logo

Raspberry Pi

PyTorch logo

PyTorch

HTML5 logo

HTML5

CSS3 logo

CSS3

REST API logo

REST API

MERN logo

MERN

Edge AI logo

Edge AI

Computer Vision logo

Computer Vision

TensorFlow logo

TensorFlow

Vercel logo

Vercel

Multithreading logo

Multithreading

Deep Learning logo

Deep Learning

Selected Work

Projects in motion, not just stacked below the fold.

Case Study 01

Shipped

Full-Stack

Premium Build

Avenor

End-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

ReactNode.jsMongoDBRedisSocket.ioBull Queue+4

Case Study 02

Complete

Systems

Premium Build

ChronoETL

Performance 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

C++17Python 3ETLPipelined ParallelismMutex + Condition VariablesBenchmarking+4
Live DemoGitHub

Case Study 03

Shipped

Realtime

Premium Build

YAPLY

Real-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

ReactNode.jsSocket.IOMongoDBJWTRedux
Live DemoGitHub

Case Study 04

Shipped

Vision

Premium Build

Face Recognition Attendance System

Computer 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

PythonOpenCVface_recognitionKDTreePandasMatplotlib+4
Live DemoGitHub

Engineering Journey

Experience built alongside the systems I ship.

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

AI/ML Intern & Team Co-Lead

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

AI & MERN Stack Developer Intern

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

Proof of consistency beyond shipped products.

Alongside product work, LeetCode is where I keep problem-solving sharp. It reflects consistency, algorithmic thinking, and the habit of improving under constraints.

Let’s Connect

Let's Build Something Worth Shipping.

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.

InternshipsFull-time rolesFreelance projects

Availability

Available for internships, full-time roles, and freelance projects. Open to opportunities starting immediately.