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.

View Projects → Resume
GitHub LinkedIn
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.

neural_network_scratch.app
ML · Deep Learning Fundamentals

Neural Network from Scratch

Forward propagation, backpropagation and gradient descent implemented from first principles using only NumPy — no PyTorch, TensorFlow or Keras.

[NUMPY · MATPLOTLIB] View →
laptop_price_predictor.app
ML · Regression

Laptop Price Predictor

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

[SCIKIT-LEARN · STREAMLIT] View →
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.

[PANDAS · STREAMLIT] View →
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.

[FASTAPI · DOCKER · TF-IDF] View →
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.

[ESP32 · TEG · PYTHON] View →
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
Advanced Qualifier — Top ~1.3% of 1.5M
03
2ND
Integration Bee
04
4
ML Projects Deployed
05
B.TECH
Electrical Engineering
↓ Download Resume PDF

Prefer email? Reach out here

Currently Building

What's in the oven

Projects actively in development — from idea to implementation.

In Progress
Basketball Player Performance Analyser

Analysing basketball player performance using computer vision — detecting and tracking players with YOLO and evaluating movement/actions with a deep learning CNN pipeline.

Computer Vision YOLO CNN
Progress35%
In Progress
8-bit CPU from Scratch

Building an 8-bit CPU from the ground up using only ICs, logic gates, and discrete components — no pre-built microcontroller.

ICs Logic Gates Digital Electronics
Progress20%
Research
EE Research Paper — Deep Learning Methods

Working on a research paper in Electrical Engineering based on deep learning methods.

Deep Learning Electrical Engineering Research

Hi, I'm Syed Arzaan.

  • Electrical Engineering undergraduate at NIT Hamirpur with a focused specialization in applied AI/ML and Generative AI
  • Delivered four production-grade ML systems, including three cloud-hosted applications on Streamlit and a containerized FastAPI service deployed on Railway
  • Advancing technical depth in deep learning architectures and large language models
  • Strengthening algorithmic foundations through consistent practice in data structures and competitive programming
  • Bridging a strong hardware engineering background with growing software and ML expertise to build a distinctive, full-stack AI/ML profile
Contact

Let's build something that works.

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

GitHub ↗ LinkedIn ↗