Ujjwal Tiwari
@ujjwaltiwari
Python Developer - Backend at Motion Modexsys
Jaipur, Rajasthan, India
Results-driven Python Developer with 2+ years of professional experience building scalable backend systems and RESTful APIs. Strong hands-on expertise in FastAPI and Django Rest Framework (DRF), with solid knowledge of PostgreSQL, MongoDB, and Redis. Experienced in Docker, Kubernetes, and cloud deployments on AWS and GCP. Proven ability to collaborate in Agile/Scrum environments with cross-functional teams to deliver high-quality, production-ready software. Committed to clean code, best practices, and continuous learning - actively deepening expertise in asynchronous programming, microservices, and PySpark.
Experience
Python Developer - Backend
Motion Modexsys
Developed and maintained scalable RESTful APIs using FastAPI and Go, applying OOP principles and SQLAlchemy ORM with PostgreSQL. Designed and implemented API endpoints for web and mobile integration. Containerised Python services with Docker and deployed on AWS EC2 Linux instances. Implemented database schema design, query optimisation, and migrations with PostgreSQL. Contributed to blockchain-based projects and AI Agent development using LLMs and LangChain. Collaborated daily with frontend engineers and product managers.
Python Developer - Backend
Ibotix LLP
Built and maintained RESTful APIs using Django Rest Framework (DRF) and FastAPI with PostgreSQL. Led backend development for Doc Forensics, an AI-powered Intelligent Document Processing (IDP) platform; integrated Azure AI Services and OpenAI API into production workflow. Implemented database migrations and managed schema evolution using Django ORM and PostgreSQL. Deployed containerised Python applications on AWS EC2 using Docker.
Python Developer - Backend
LaunchXlabs
Designed and built scalable RESTful APIs using FastAPI and Flask with PostgreSQL. Architected and delivered the complete backend for Skoob - including a recommendation engine and a push notification system with Redis caching. Applied microservices architecture patterns and deployed containerised workloads to Google Cloud Run using Docker and Kubernetes. Built AI-powered Python applications including an AI greetings generator and a person-identification app with trained ML models and vector database integration.
Education
Dr. APJ Abdul Kalam Technical University
B.Tech
Computer Science & Engineering