●  Led the development of Python-based applications using Flask and FastAPI, managing project life cycles for ITP and SocialSwag, which streamlined deployment processes and reduced time to market by 25%. ●  Orchestrated collaboration with clients and internal teams to develop tailored solutions, enhancing application performance by 30% while implementing serverless architectures using AWS Lambda and Azure Functions for efficient scalability. ●  Collaborated closely with UX/UI designers to architect and develop 15+ reusable components using React.js, HTML, and CSS seamlessly integrated front-end interfaces with backend APIs while implementing caching that improved load times by 40%. ●  Engineered scalable backend solutions using technologies like Elasticsearch, Redis, RabbitMQ, ThingsBoard, and AWS S3 for cloud API streaming services. Built REST APIs for role-based access, video streaming, payment gateways, and purchase flows. ●  Implemented CI/CD pipelines using Git, GitHub Actions, and Jenkins, automating code integration and deployment into servers, while ensuring code quality through code reviews and unit testing with Unittest and Pytest. ●  Leveraged NoSQL databases including MongoDB and Firebase while managing over 200k records daily with database interactions through effective query optimization techniques, leading to a measurable reduction in response times across applications. ●  Extracted and transformed data from MySQL into JSON format, then indexing in Elasticsearch on a daily basis enhanced search retrieval speeds by 45% through effective use of NumPy, Pandas and Scipy for analytics. ●  Managed application lifecycle within Agile scrum framework ensuring timely updates and quality controls, using AWS ECS and EKS for container orchestration and scalability. ●  Technologies Used: Python,AWS, HTML, JavaScript, CSS, Elasticsearch, MongoDB, Google Firebase Redis, Redis-queue, Mysql, Fast API, mux-python, GitHub, Gitlab, AWS Lambada, es-pandas, Ubuntu, aws-S3, JWT, Flask,Excel, VS Code, Pycharm, Jupyter Notebook, JSON, Yaml, Rest API’s, Linux .

●  Conducted thorough analysis of project outcomes and user feedback as most junior members on the team findings led directly to enhancements that addressed three key issues impacting system performance during peak usage times. ●  Crafted and documented comprehensive property lists for applications using Python frameworks like Flask, FastAPI, 
and Pytest, covering the entire project lifecycle from design to implementation. ●  Designed and re-configured Python components to retrieve, manipulate, and optimize data while ensuring efficient 
system operations, working with large datasets using pandas DataFrames and MySQL. ●  Integrated cloud services with third-party clients, creating APIs to generate daily configurations and Scheduled automated cronjobs for automatic nightly API triggers. ●  Led the deployment of sophisticated service integrations with FastAPI, established a faster data exchange framework that increased cross-department collaboration effectiveness by over 25%, driving performance improvements each month. ●  Constructed optimized backend RESTful APIs and microservices architectures, utilizing pandas, NumPy, relational databases (SQLite, MySQL), and NoSQL databases (MongoDB, Elasticsearch) for efficient data storage and seamless integration with front-end. ● Technologies Used: Python,HTML, JavaScript, CSS, Elasticsearch, MongoDB, Google Firebase Redis, Redis-queue, Mysql, Fast API, mux-python, GitHub, Gitlab, AWS Lambada, es-pandas, Ubuntu, aws-S3, JWT, Flask,Excel, VS Code, Pycharm, Jupyter Notebook, JSON, Yaml, Rest API’s, Linux .