Boopesh Jothi

Constructed a microservices architecture using Python, Flask, and MongoDB to guarantee a scalable system. Managed datasets with Python-MySQL connector and conducted cloud migration projects using AWS, Azure, and Google Cloud. Developed chatbots using RAG-based architecture, designed RESTful APIs with FastAPI and Flask, and optimized ETL procedures with Snowflake. Built machine learning pipelines with TensorFlow and PyTorch and integrated advanced language models via LangChain. Utilized DynamoDB and optimized Snowflake cost and performance. Deployed projects using AWS Elastic Beanstalk and orchestrated PDF generation and merging using SnapLogic. Developed serverless data pipelines with AWS Lambda and delivered microservice architectures using NodeJS and Docker.

Developed business logic in Python for planning and tracking functions, developed database models, APIs, and interactive web solutions. Designed front-end screens with HTML, CSS, JavaScript, Bootstrap and AngularJS. Implemented containerization with Docker and developed AI-driven large language model solutions. Utilized AWS EC2 for application deployment and debugging, wrote REST APIs using Django REST framework, and integrated Snowflake into AI workflows for predictive analytics and real-time insights.

Implemented Python and Django for business logic, data exchange, XML processing, and graphical creation within healthcare microservices. Used Pandas for statistical analysis, developed web API using NodeJS with SQL and MongoDB, and deployed MongoDB replica sets on EC2. Created MapReduce jobs for data transformation, used Celery with RabbitMQ and Redis for asynchronous task execution, and managed cloud monitoring with AWS CloudWatch, SNS, and SQS. Followed Agile methodology, participated in SDLC analysis, design, and development phases.