Now
Open to AI/ML Internships AI Engineer in the Making

Hi I'mArzaan

DSA  •  Algorithms  •  Machine Learning

Strong problem-solving foundation with algorithms & data structures. Building intelligent systems using modern ML techniques.

Projects

Projects — built, trained, deployed

ML models and data pipelines taken from idea to deployment — each one trained, evaluated, and shipped as a live Streamlit app.

laptop_price_predictor.app
ML · Regression

Laptop Price Predictor

Regression model predicting laptop prices from hardware specs — feature engineering, pipeline tuning and Streamlit deployment.

olympics_dashboard.app
Data Analysis

Olympics Analysis Dashboard

Interactive dashboard exploring historical Olympics data — country trends, medal tallies and athlete stats, deployed live on Streamlit Cloud.

cinematch.app
ML · Recommender Systems

CineMatch

Content-based movie recommendation engine using TF-IDF and cosine similarity, served via a Dockerized FastAPI backend with live TMDB data.

fire_volt_green.app
Hardware · IoT

Fire Volt Green

TEG-based agricultural vehicle addressing India's stubble burning crisis. Built on ESP32, TEG modules and Python.

Skills

Stack & Skills

AI/ML as the core — DSA for the fundamentals, hardware for the edge.

AI / ML / Data Science
Python PyTorch scikit-learn NumPy Pandas Seaborn Plotly Streamlit
DSA & Competitive Programming
C++ Data Structures Algorithms Problem Solving
Systems & Hardware
ESP32 Arduino Circuit Design
Tools & Web
HTML5 CSS3 FastAPI Git GitHub Jupyter Linux Docker AWS
Resume

Credentials

B.Tech EE at NIT Hamirpur · JEE Mains & Advanced qualifier · 9.0 CGPA · 4 deployed ML projects.

01
9.0
CGPA · 2 Semesters
02
JEE
Mains & Advanced Qualifier
03
2ND
Integration Bee
04
4
ML Projects Deployed
05
B.TECH
Electrical Engineering
↓ Download Resume PDF

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Hi, I'm Syed Arzaan.

EE student at NIT Hamirpur obsessed with AI/ML, Gen-AI, and DSA. I build things that actually run — four ML projects deployed (three on Streamlit Cloud, one Dockerized FastAPI service on Railway), actively exploring deep learning and large language models, and sharpening algorithmic thinking through data structures and competitive programming.

The goal is a serious AI/ML engineering profile. The hardware background is already there — now it's about making the software just as strong.

9.0
CGPA, 2 semesters
JEE
Mains & Advanced qualifier
2nd
Integration Bee
Currently Building

What's in the oven

Projects actively in development — from idea to implementation.

In Progress
CNN Image Classifier

Convolutional neural network built from scratch in PyTorch — custom training loop, data augmentation, and evaluation on a real image dataset.

PyTorch CNN Torchvision
Progress40%
In Progress
ML Finance Dashboard

Stock movement prediction + portfolio risk analysis using time-series ML. Served via FastAPI with a Streamlit frontend.

PyTorch FastAPI Streamlit Plotly
Progress30%
Research
Diffusion Model Explorer

Reimplementing a simplified diffusion model from scratch to understand image generation — noise scheduling, the reverse denoising process, and sampling.

PyTorch Diffusion Models NumPy
Progress15%
Contact

Let's build something that works.

Open to AI/ML internships, research collaborations, and conversations about machine learning, DSA, or building intelligent systems.