BE 1st-year MSEC Computer Science student. AI explorer. Full-stack tinkerer. I love solving real-world problems with code—building smart solutions and creative prototypes that turn challenges into opportunities. Idea to impact is my playground, and I’m just getting started.
import React from "react";
import { useState } from "react";
export default function App(){
const [q,setQ]=useState("");
const [a,setA]=useState("Ask me anything about my projects ↘");
async function ask(){
const r = await fetch("/api/qa?q="+encodeURIComponent(q));
setA(await r.text());
}
return (
setQ(e.target.value)} placeholder="Try: show my CNN accuracy"/>
{a}
)
}
from fastapi import FastAPI
app = FastAPI()
@app.get("/api/qa")
def qa(q:str):
return f"Answering: {q}. Yes, it's real-time!"
My journey in engineering didn’t begin today — it’s been inside me since childhood. Even as a student I chased challenges beyond the classroom because I wanted to build things that make everyday life easier for people. If pioneers like Edison, Newton or Tesla had only stuck to textbooks for marks, we wouldn’t have the light, power and comforts we rely on today. As a school kid I made a Tamil-speaking robot that physically responded to Tamil voice, and a thermo-electric emergency power generator that drew wide attention in 2019. During a continuous flood in Chennai, my family struggled to get power even for charging phones. Using what was available at home — a gas stove — I built a thermo-electric generator that could power lights, fans, and charge devices. Whenever I spotted a problem, I couldn’t rest without finding a solution.
Before the AI era, I built a robot that physically responded to Tamil voice commands.
With a thermo-electric module, I built a device to power a fan, light & mobile charger using a stove. This project was featured in 2019 news and went viral on social media.
2019 Viral Post
These are just a few of the projects that shaped my passion for engineering and innovation — and I’m just getting started 🚀
Long before I could hold a screwdriver, my father was my first teacher in technology and in life.
He always said that the knowledge we gain is not just for ourselves — it is meant to benefit society.
He believed that is the real reason to study with full will and curiosity.
His knowledge went far beyond just working with a computer or mobile screen —
he combined electronics with programming, creating practical
solutions and devices that solved real-world problems.
From repairing circuits to programming small systems,
he showed me how technology isn’t limited to software,
but becomes powerful when it connects with hardware.
Watching him work hands-on with electronics while coding at the same time
inspired me to think beyond limits and to build smart,
tangible solutions that bridge the gap between the digital and physical world.
A perfect example of his teaching is my sister Ajeeba’s project: she created a device designed to save lives from accidental collisions at railway gates.
This device, guided by my father’s mentorship, became the first low-cost two-way directional sensing device.
It successfully combines programming and electronics to detect movement and prevent accidents.
The project went viral on social media with over 400k views and was featured on leading news channels. garnered attention from Southern Railway and received recognition from tham,
Watching the device in action, explaining its working to my sister, and seeing how real-world problems can be solved with simple, thoughtful technology is exactly the approach my father instilled in us.
Python C/C++ JavaScript HTML/CSS PHP Java Git/GitHub Linux Bash/Shell Data Structures & Algorithms OOP & Design Patterns REST APIs
NumPy Pandas scikit-learn TensorFlow PyTorch Hugging Face Transformers OpenAI GPT APIs LangChain FastVLM / Vision-Language Models Text & Audio Embeddings AI Agent Frameworks Model Fine-Tuning / Custom LLMs Open-Source LLMs: LLaMA 3, MPT-30B, Falcon 40B, Baize, Guanaco, Dolly V2
Prompt Engineering Chain-of-Thought Prompts Few-shot / Zero-shot Prompts AutoGPT / Agent Automation RAG (Retrieval Augmented Generation) AI Workflows / Pipelines
React / Next.js FastAPI / Node.js SQLite / PostgreSQL Docker / Kubernetes Vercel / Netlify / Render AWS / GCP / Azure GPU Servers / NVIDIA CUDA Serverless AI Deployment
NumPy / Pandas scikit-learn / XGBoost / LightGBM TensorFlow / PyTorch (for ML & DL) Matplotlib / Seaborn / Plotly Jupyter / Colab SQL / NoSQL Databases ML Experiment Tracking (Weights & Biases, MLflow) Data Cleaning & Feature Engineering EDA & Statistical Analysis
Figma Notion Technical Writing Linux Server Admin CI/CD Experiment Tracking Data Visualization API Integration
nabeelaabbasmd@gmail.com
GitHub •
LinkedIn •
Hugging Face •
Kaggle