Aspiring AI/ML & Python Full Stack Developer | Django · SQL · Machine Learning | CSE Graduate, Agni College of Technology
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
Agni College of Technology, Chennai
10/2021 - 04/2026
CGPA: 8.22
Sreevatsa Viswanathan Vivekananda Vidyalaya, Chennai
03/2020 - 06/2021
Percentage: 83.6% (419/500)
Sreevatsa Viswanathan Vivekananda Vidyalaya, Chennai
03/2018 - 03/2019
Percentage: 83.6% (418/500)
Mani India Technologies Pvt Ltd, Remote
02/2026 - 06/2026
Infinite Computer Solutions Pvt Ltd, Chennai
08/2025 - 09/2025
Edunet Foundation, Remote
06/2025 - 07/2025
Techstar Software Development India Pvt Ltd, Chennai
03/2025 - 07/2025
Final Year Team Project: Developed an assistive application to aid visually impaired individuals.
Internship Project (TechStar): Built a system to streamline employee offboarding processes.
Internship Project (Infinite): Built a Django-PostGreSQL system to streamline the management and syncing of project data efficiently.
Internship Project (Infinite): Built a diabetes prediction system which predicts whether a person has diabetes or not based on various factors.
Personal Project: Designed and implemented sensor-based projects for safety and automation.
Personal Project: Explore my portfolio to discover my educational qualifications, professional experience, impactful projects, and a diverse range of skills.
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.
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.
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.
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.
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.
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.
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.
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
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.