Mey Raj

Python Backend Engineer with 2+ years of experience in backend development, API design, microservices architecture, and database optimization. Proficient in Python, FastAPI, Django, PostgreSQL, MySQL, Redis, Git, and Linux. Demonstrated success in improving API performance by 40% and executing zero-downtime database migrations. Familiar with Docker, CI/CD concepts, and DevOps practices. Knowledge of Machine Learning, Deep Learning, TensorFlow, PyTorch, OpenCV, and AI application development.

Seeking Backend

Engineer, Software Engineer, or AI/ML Engineer roles in product-based companies and technology-driven organizations.

Programmer Analyst — Python Backend Developer - Schnell Energy Equipments Pvt. Ltd. - Coimbatore, India

(2024-04)

• Engineered scalable ERP backend modules with Django & FastAPI, automating enterprise workflows and eliminating 15+ hours/week of manual operational effort across inventory, logistics, and procurement.
• Improved API response time by 40% via Redis caching, async processing (Uvicorn/Gunicorn), PostgreSQL query optimization, and strategic database indexing.
• Led the zero-downtime migration of production data from MySQL to PostgreSQL and implemented ETL pipelines into Google BigQuery, supporting business intelligence reporting and KPI dashboards in Looker Studio.
• Reduced deployment effort by 30% through Docker-based CI/CD pipeline automation and standardized Linux infrastructure.
• Architected FastAPI Microservices replacing legacy Python 2.7 / Django 1.x monoliths, improving scalability, reliability, and long-term maintainability.
• Implemented JWT Authentication & API Security with role-based access control for secure internal and enterprise application access.
• Built secure file upload/download REST APIs; authored unit tests for backend validation workflows, improving production code coverage.

Backend Intern - Schnell Energy Equipments Pvt. Ltd. - Coimbatore, India

(2024-02 - 2024-03)

• Built secure file upload/download REST APIs; authored unit tests for backend validation workflows, improving production code coverage.
• Performed database cleanup and correction on enterprise ERP data, improving production data integrity and reliability.

AI / ML Intern - Omdena - Remote (Global Collaboration)

(2023-10 - 2023-11)

• Developed Deep Learning models for extreme weather forecasting with TensorFlow, PyTorch, and OpenCV on satellite imagery and meteorological datasets.
• Built automated data collection and preprocessing pipelines; collaborated with global teams to deliver scalable AI forecasting solutions.
• Integrated AI image enhancement pipeline using PyTorch ESRGAN & SPANPlus

B.E. - Mechanical Engineering - Easa College of Engineering (2017 - 2021)