Position: Python Developer
Category: Python
English level: fluent
Years of experience: 4


Project 1. Ubersuggest Enhancement
Technologies: Python, DynamoDB, AWS (Lambda, ECS, S3, Elasticsearch, EMR, Glue, DynamoDB, SQS, SNS), React API, NumPy, PyTorch, Pandas, Redshift, Rest API

I optimized AWS Lambda functions and microservices on AWS ECS for the Search Platform, enhancing system performance.
Achieved high scalability by designing and implementing robust, high-performance Rest APIs, resulting in improved user experience.
Developed distributed parallel processing tools, processing 100s of Terabytes of data and achieving optimal search performance.

Project 2. Autonomous Vehicle and Drone Microservices (Under NDA)
Technologies: Fastapi, Django Rest Framework, Redis, Google Cloud Watch, Celery, FastAPI, Firebase, Cloud Run, Cloud Functions, Pub/Sub

Spearheaded the development of a backend system to handle drone data, improving real-time data visualization.
Enhanced architecture on Google Cloud Watch, optimizing system monitoring and management.
Contributed to a microservices-driven architecture for pilot projects involving autonomous vehicles and drones.

Project 3. Electricity Trading System (Under NDA)
Technologies: Python, Django, DRF, React.js, Celery, Redis, PostgreSQL, AWS EC2, AWS S3

Designed the system architecture, enabling users to buy and sell electricity seamlessly.
Automated data gathering from US state API via Celery, providing real-time offers to users.
Maintained a high standard of code quality in alignment with project requirements.

Project 4. CTIMS - Fuel System Inspector Tool
Technologies: Python, Django, Django-Graphene, React.js, PostgreSQL, Celery, Redis, AWS EC2, Lambda, Docker

Designed and built the project architecture, facilitating efficient document management and versioning.
Resolved critical bugs and implemented new functionalities to enhance user experience.
Delivered clean, efficient code in compliance with project requirements.