Miyaz U

Aspiring AI/ML & Python Full Stack Developer | Django · SQL · Machine Learning | CSE Graduate, Agni College of Technology

About Me

Computer Science graduate (2025) with hands-on experience in Python, Django, SQL, Playwright, and AI/ML. I enjoy building practical, technology-driven solutions that improve business efficiency.

At Mani India Technologies, I contributed to AI-assisted test automation pipelines integrating Azure DevOps and Playwright. I've also built ML models for diabetes and salary prediction, and developed full-stack apps like QualiTrack and an Employee Exit Management System using Django and PostgreSQL.

Open to Python Full Stack, AI/ML, and GenAI roles.

✨ Key Skills: Python, Django, SQL, Playwright | AI & ML | Web Dev (HTML, CSS, JS) | PostgreSQL & Data Science | Automation Testing

Education

B.E. Computer Science and Engineering

Agni College of Technology, Chennai

10/2021 - 04/2026

CGPA: 8.22

12th Grade

Sreevatsa Viswanathan Vivekananda Vidyalaya, Chennai

03/2020 - 06/2021

Percentage: 83.6% (419/500)

10th Grade

Sreevatsa Viswanathan Vivekananda Vidyalaya, Chennai

03/2018 - 03/2019

Percentage: 83.6% (418/500)

Work Experience

System Analyst

Mani India Technologies Pvt Ltd, Remote

02/2026 - 06/2026

  • Developed an AI-assisted test script generation system integrating Azure DevOps APIs to automatically retrieve and convert test cases into Playwright automation scripts using Python.
  • Reduced manual scripting effort and improved test coverage efficiency through end-to-end automation pipeline development.
  • Collaborated on system analysis tasks supporting QA workflows across remote agile teams
  • Managed end-to-end payroll processing for U.S. clients, ensuring accurate salary calculations, compliance with payroll regulations, timely disbursements, and efficient handling of employee payroll records and reports.

AI/ML Intern

Infinite Computer Solutions Pvt Ltd, Chennai

08/2025 - 09/2025

  • Built a Django–PostgreSQL app called QualiTrack with Excel integration to manage and sync project data efficiently.
  • Developed a machine learning–based diabetes prediction project that handles diverse datasets to predict whether an individual has diabetes.

AI Intern

Edunet Foundation, Remote

06/2025 - 07/2025

  • Developed an Employee Salary Prediction to predict the salary of the employees.
  • Executed data preprocessing, feature engineering, and model training to enhance prediction accuracy and overall system efficiency.
  • Applied evaluation metrics to fine-tune the model and ensure robust performance in real-world deployment scenarios.

Python Developer Intern

Techstar Software Development India Pvt Ltd, Chennai

03/2025 - 07/2025

  • Developed an Employee Exit Management System to enhance offboarding efficiency.
  • Contributed to backend architecture using Python (Django).
  • Developed frontend using HTML, CSS, and JavaScript.

Projects

AI-Based Assistive Application for Blind People

Final Year Team Project: Developed an assistive application to aid visually impaired individuals.

Employee Exit Management System

Internship Project (TechStar): Built a system to streamline employee offboarding processes.

QualiTrack

Internship Project (Infinite): Built a Django-PostGreSQL system to streamline the management and syncing of project data efficiently.

Diabetes Prediction System

Internship Project (Infinite): Built a diabetes prediction system which predicts whether a person has diabetes or not based on various factors.

Fire Alarm & Dark Sensor

Personal Project: Designed and implemented sensor-based projects for safety and automation.

Portfolio

Personal Project: Explore my portfolio to discover my educational qualifications, professional experience, impactful projects, and a diverse range of skills.

Employee Salary Prediction

Internship Project (Edunet): Developed an AI-based Employee Salary Prediction system which predicts employee salaries based on factors like age, gender, job title etc using Python and Machine Learning techniques.

Placement Prediction Project

Personal Project: Developed an AI-based Placement Prediction system which predicts whether a student will get placed or not based on factors like 10th, 12th, degree percentages etc using Python and Machine Learning techniques.

AI-Powered Support for Structured Tech Interview Readiness

Personal Project: Built a multi-agent AI interview prep system using Google ADK and Gemini models in Google Colab. It captures user goals, creates personalized study plans, generates interview questions, and evaluates answers with feedback using coordinated AI agents.

Playwright Automation

Company Project: Developed an AI-assisted Playwright automation framework that retrieves test cases from Azure DevOps and automatically generates and executes Python-based test scripts using LLM-powered code generation.

LocalMind Chatbot Platform

Personal Project: Built a fully local AI chatbot for websites and WhatsApp using Ollama, RAG, and a local vector DB. Captures leads, answers company-specific queries, and stores unified conversations without external AI APIs or cloud hosting.

VacantEye

Personal Project: Built a Streamlit-based computer vision app using YOLOv8 to detect theater seat occupancy from a single image. Uses seat calibration, image tiling, and overlap matching to classify occupied/unoccupied seats without custom training.

HealthCare+

Wrenchwise Course Project: Built a responsive doctor appointment booking app using HTML, CSS, and JavaScript. Features doctor search, filtering, validated booking, dynamic time slots, themes, favorites, reminders, and local storage.

CouponX

Wrenchwise Course Project: Full-stack e-commerce coupon & discount platform (Node.js, Express, MongoDB) with secure auth, product browsing, and an admin dashboard for coupons, orders, and customers. Built by a 4-member team.


Login Details :-


Customer Login :-

Email: customer@couponx.com

Password: customer123


Admin Login :-

Email: adminuser@couponx.com

Password: admin1234

Autonomous Document Agent

Personal Project: This project is an autonomous AI agent built with FastAPI. Given a plain-English request, it plans its own tasks, writes each section, reviews its work, and delivers a formatted Word document. It uses Python, Groq, and python-docx.

Skills

Python Django HTML CSS JavaScript React.js Node.js Express.js SQL MySQL PostGreSQL MongoDB Data Science Machine Learning Artificial Intelligence Deep Learning Data Science scikit-learn VS Code Git Playwright Azure Devops Github Copilot RESTful APIs Google AI Developer Kit(ADK) Gemini 2.0

Certifications

Data Science Foundations – Great Learning Python Matplotlib – Great Learning Python Seaborn – Great Learning Introduction to Deep Learning – Great Learning Python Django 101 – Simplilearn Introduction to AI – Great Learning AI Programmer by Cultus - Vetri Nichayam AI Agents Intensive Course - Google AI-Powered Full Stack Development - Wrenchwise Academy (Ongoing)

Languages

English — Full Professional Proficiency Tamil — Native or Bilingual

Achievements

Class Representative — 4th Semester Accenture Innovation Challenge — Diet Food Delivery Idea Smart India Hackathon — Smart Street Light Idea Solo Dance Participant — Intra-College Cultural Event

Contact

Email: miyazumare@gmail.com

Phone: +91 8056079871

Location: Chennai, Tamil Nadu

Connect with me on:

LinkedIn GitHub