Hello! 👋

I'm MD Riyan Nazeer

Data Engineer

About Me

I'm Riyan, an engineer working across AI/ML, data science, data engineering, and MLOps. I take ideas from zero to running systems, build pipelines, deploy models, and enjoy the full ML stack from experimenting to shipping.

Python SQL R EDA AI/ML Docker Azure AWS Power BI Git

Projects

DeepFake-Buster

A deepfake detection system that analyzes uploaded videos and identifies manipulated frames using a TensorFlow Lite model and OpenCV-based preprocessing. Built for real-time inference with a streamlined prediction pipeline.

PythonOpenCVTensorFlow Lite

Hyderabad-House-Price-Predictor

A machine learning model that predicts house prices in Hyderabad using real dataset preprocessing, feature engineering, and regression techniques. Includes a clean pipeline for training, evaluation, and result visualization.

PythonEDAData CleaningSKLearn

DLP-GUI

A cross-platform desktop application built with PyQt6 that provides a clean graphical interface for yt-dlp. Supports multi-threaded downloads, playlists, formats, subtitles, and modular architecture for future extensions.

PythonPyQt6yt-dlp

Experience

Multiple Roles (Freelance)

Xunoia

Apr 2025 - Present

Deployed custom AI automation solutions reducing client operational costs by 35% through intelligent workflow optimization
Engineered and customized ERPNext modules using Python and Frappe framework, automating invoice processing and inventory management for clients
Created promotional video and graphic content using Adobe Premiere Pro, After Effects, Photoshop increasing client social media engagement by 60%

Community Operations & Data / tech Support

The Sukoon Space (NGO Project)

Sept 2025 - Present

Supported the early development of an upcoming NGO focused on mental health, self-growth, and community well-being.
Helped organise and maintain workshop, participant, and outreach data using Excel/Google Sheets.
Created structured digital records for programs, events, and internal documentation.
Coordinated with project leads to ensure accurate, updated information for planning activities.

Student Mentor

CodeWave Hub

Nov 2024 - Present

Mentored 60+ students in Python, data structures, ML/AI project development with focus on practical implementation
Organized and facilitated 3 technical workshops on Version Control and Git, achieving 90% satisfaction rating
Conducted code reviews and debugging sessions, reducing student project completion time by 40%

Computer Vision Research Intern

Cybertronix Tech

Nov 2024 - Jan 2025

Implemented YOLO-based object detection pipeline achieving 92% mAP on custom dataset for robotic navigation
Optimized CNN models using TensorFlow and PyTorch, reducing inference time by 35% through quantization techniques
Developed preprocessing pipelines handling 10,000+ images for training robust computer vision models
Collaborated with robotics team to integrate AI models into prototype applications with real-time performance requirements

AI / ML Python + Django Intern

DATAPOINT IT & HARDWARE TECH PVT LTD

Aug 2023 - Sept 2023

Developed Heart Disease Prediction model using scikit-learn achieving 87% accuracy on validation dataset
Built full-stack Django web application with RESTful APIs serving 500+ test predictions with <2s response time
Designed PostgreSQL database schema and optimized queries reducing page load time by 45%
Created responsive UI allowing non-technical users to input health parameters and receive real-time AI predictions