Software Developer Portfolio

Hi, I'm Ifteqhar

Student & Aspiring AI/ML & Data Science Learner

CSE Student & Learner: Crafting intelligent algorithms, data-driven applications, and connected hardware experiences — where models, code, and silicon meet

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Portrait of Ifteqhar

Ifteqhar

Building thoughtful digital products

Available

About

A quick introduction

A passionate CSE student building intelligent algorithms, data-driven applications, and connected hardware that bridges software and the physical world.

I'm a Computer Science student fascinated by the spaces where machine learning, full-stack engineering, and embedded systems collide. From training models on messy real-world data to wiring up ESP32 boards, I love shipping ideas end-to-end.

My focus is on building AI/ML systems that feel useful and trustworthy — clean pipelines, honest evaluation, and interfaces people actually understand.

I'm equally comfortable in a Jupyter notebook, a React codebase, or in front of a breadboard. I treat every project as a chance to learn the next layer of the stack.

Outside class, you'll find me reading ML papers, contributing to small open-source tools, and tinkering with IoT side projects.

4+
Years coding
20+
Projects built
15+
Technologies

Skills

Tools I work with

Languages

PythonCC++Java

AI / ML & Data Science

NumPyPandas

IoT & Hardware

ESP32ArduinoRaspberry PiMQTTSensorsEmbedded C

Projects

Selected work

E.D.I.T.H

E.D.I.T.H. is a sophisticated, fully voice-driven smart home ecosystem that bridges the gap between natural language processing and physical hardware. Powered by Google Gemini 1.5 Flash and orchestrated via LangChain, it transforms a standard living space into an intelligent, responsive environment.

Python
Google Gemeni 2.5 Flash
ESP-32
Langchain
Firebase
C++

Smart Home IoT Dashboard

ESP32-based sensor mesh streaming temperature, humidity, and motion data over MQTT into a real-time React dashboard.

ESP32
MQTT
React
Node.js

Traffic Vision Analyzer

Computer vision pipeline that detects, tracks, and classifies vehicles from city camera feeds to surface congestion patterns.

OpenCV
YOLOv8
Python
Docker

Student Performance Predictor

End-to-end ML pipeline predicting academic outcomes from study habits — feature engineering, model tuning, and a clean React frontend.

scikit-learn
Pandas
Flask
React

Arduino Weather Station

Solar-powered weather node logging environmental data to the cloud with a lightweight web view for historical trends.

Arduino
C++
Firebase
Chart.js

ML Recommender Engine

Hybrid recommender combining collaborative filtering and content embeddings, deployed as a low-latency microservice.

PyTorch
FastAPI
Redis
Docker

Experience

Where I've worked

2024 — Present

AI/ML Research Assistant

University Lab

  • Building computer vision models for real-world classification tasks under faculty mentorship.
  • Curated and labeled custom datasets, improving baseline accuracy by 18%.
  • Authored reproducible training pipelines and clear documentation for the team.
2023 — Present

Full-Stack Developer (Freelance)

Independent

  • Designed and shipped React + Node web apps for student startups and local businesses.
  • Integrated payment, auth, and analytics stacks end-to-end with TypeScript.
  • Owned deployment, observability, and post-launch iteration for every project.
2023 — 2024

IoT Project Lead

University Robotics Club

  • Led a 4-person team building ESP32 sensor networks for a campus sustainability initiative.
  • Designed firmware, MQTT topology, and a live dashboard consumed by faculty.

Education

2022 — 2026

B.Sc. Computer Science & Engineering

University

Focus on Machine Learning, Data Structures, and Embedded Systems.

2024

Machine Learning Specialization

Coursera · DeepLearning.AI

Comprehensive coverage of supervised learning, neural networks, and ML strategy.

Contact

Let's build something

Have a project in mind, an opportunity to share, or just want to say hi? My inbox is always open.