Shrey Jain is a Python Developer with 6+ years of experience specializing in web application development using Django and Flask. He has a strong background in cloud services and containerization, with proven skills in developing scalable microservices.
Developed and maintained scalable microservices using Python and AWS Lambda.
Designed and implemented core logic for a real-time stock data processing bot.
Achieved Amazon AWS Certified status in Foundations, Architecture, and ML.
Implemented API integrations and ensured smooth data flow between services using Docker.
Developed and maintained scalable microservices for Miski Website.
Overview: Miski Online is an e-commerce project providing a wide range of products through an online platform. Responsibilities: Developed and maintained scalable microservices using Python and AWS Lambda to enhance platform performance. Designed, optimized, and managed the MySQL database for efficient data storage and retrieval. Implemented API integrations and ensured smooth data flow between services using Docker and microservice architecture.
Key outcomes:
Developed scalable microservices enhancing platform performance.
Ensured efficient data storage and retrieval through database design and optimization.
Overview: This project involved developing a Telegram bot that facilitated users in creating accounts and setting triggers for stock alerts. Responsibilities: Designed and implemented the core logic of the bot using Python and Django for real-time stock data processing. Managed user data and stock triggers with PostgreSQL to ensure efficient and secure database operations.
Key outcomes:
Designed and implemented core bot logic for real-time stock data processing.
Automated stock alerts and notifications based on financial analysis.
Overview: Created a web-based dashboard that aggregates data from various social media platforms, including Twitter, Facebook, and Instagram. Responsibilities: Designed and built the backend using Django to handle data aggregation and dashboard functionality. Leveraged Pandas and Numpy for data manipulation, cleaning, and statistical analysis of social media metrics.
Key outcomes:
Built a backend for aggregating and processing social media data.
Enabled data-driven insights through statistical analysis of social media metrics.
Overview: The Food Ordering System is an online platform for customers to browse and order food from local restaurants. Responsibilities: Developed the backend using Django Rest Framework to manage user accounts, orders, menus, and payment processing. Designed and implemented RESTful APIs to handle interactions between the front end and the server.
Key outcomes:
Developed a robust backend for managing restaurant and customer operations.
Ensured secure and seamless transaction processing through integrated payment gateways.
Overview: The Adtrac project integrates state-of-the-art systems, including artificial intelligence, machine learning, and sensor networks, to monitor and control traffic flow in real-time. Responsibilities: Developed and maintained backend systems using Python, Django, and Django REST Framework to support real-time traffic monitoring and control systems.
Key outcomes:
Developed backend systems supporting real-time traffic monitoring.
Optimized data retrieval and analysis for traffic flow through efficient database management.
Shrey Jain
Python Developer