Jaydeep Ahir - Tech Builder

I am an Engineer and AI Developer driven by the challenge of moving systems from zero to production. Operating at the convergence of full-stack mobile architecture, localized AI intelligence, and edge computing, I specialize in building complete ecosystem solutions. My expertise ranges from training predictive models and engineering local agentic AI systems down to deploying autonomous vision models on physical hardware. On the front end, I translate this underlying complexity into seamless, production-grade native Android applications designed for scale. Beyond the code, my focus is on execution managing the technical roadmap, bridging the gap between hardware and software, and engineering practical, intelligent systems that solve real-world problems.

Skills

Languages: Kotlin, Python, Java, C/C++, JavaScript / TypeScript, SQL
Frameworks & ML: Jetpack Compose & MVVM, TensorFlow & Keras, XGBoost & scikit-learn, YOLO11 & OpenCV, React.js & Node.js, FastAPI & Streamlit
Tools & Infrastructure: Android Studio & Gradle, Git & GitHub, Firebase & Room Database, MongoDB, ESP32 & Microcontrollers, Docker

Projects

Tic Tac Toe (Android)

My first Android project — a simple two-player Tic Tac Toe game built using Java.

Technologies: Java, XML, Android Studio

Inventory Management System

A console-based Inventory Management System to manage products and stock details.

Technologies: Java

Bank Management System

A console-based Bank Management System developed as a 3rd semester Diploma project.

Technologies: C++

Bus Reservation System

A console-based Bus Reservation System developed using Python.

Technologies: Python 3

Bus Reservation System (C++)

A simple bus reservation system created as a first-semester diploma project.

Technologies: C++

Multiple Disease Prediction

A Multiple Disease Prediction System built using Python, scikit-learn, and Streamlit.

Technologies: Python, scikit-learn, Streamlit

Seenit

Your Personal Movie & TV Show Companion app.

Technologies: Kotlin, Jetpack Compose, Firebase

Vision — AI Animal Classifier

A production-grade deep learning vision system for multi-class animal classification.

Technologies: Python, TensorFlow, Keras

Zenity: Smart Billing

A modern, offline-first billing, inventory, and business intelligence platform.

Technologies: Kotlin, Jetpack Compose, Room

Billium — GST Invoice Gen

A bespoke, GST-compliant invoice generator built for a specific business workflow.

Technologies: Java, MVVM, Firebase

Algorithmic Market Predictor

A production-grade ML pipeline predicting next-day stock closing prices.

Technologies: Python, XGBoost, ML

Prepify

An AI-Powered Interview Coaching Platform.

Technologies: Node.js, React.js, MongoDB

NOMAD-1 — AI Terminal

An autonomous AI-powered terminal agent designed to automate complex tasks.

Technologies: Python, FastAPI

Autonomous-AI-Car

A Vision-Based Autonomous Vehicle with Real-Time AI Perception.

Technologies: Python, YOLO11, ESP32

Publications

Edge-Deployed Level 2 ADAS: Real-time Object Detection and Sensor Fusion

Preprint - April 2026

Architected a decoupled perception-actuation system using YOLO11 on Apple Silicon and C++ PID steering on an ESP32 microcontroller. Achieved 77.7% real-world dynamic detection accuracy.