Roles & Responsibilities• Architected and deployed a suite of microservices for Generative AI use cases, leveraging Python FastAPI framework to ensure high performance and scalability.• Developed microservices for diverse AI functionalities including text & image generation, long-term memory, semantic search, and few-shot learning.• Integrated advanced AI models such as OpenAI's GPT-3.5 and GPT-4, AWS Bedrock's Claude and Llama, and Google's Gemini and Imagen for text, image, and… Show more Roles & Responsibilities• Architected and deployed a suite of microservices for Generative AI use cases, leveraging Python FastAPI framework to ensure high performance and scalability.• Developed microservices for diverse AI functionalities including text & image generation, long-term memory, semantic search, and few-shot learning.• Integrated advanced AI models such as OpenAI's GPT-3.5 and GPT-4, AWS Bedrock's Claude and Llama, and Google's Gemini and Imagen for text, image, and embedding processing.• Designed and implemented RESTful APIs for seamless interaction between microservices, optimizing data flow and response times.• Leveraged containerization and orchestration tools such as Docker and Kubernetes to ensure robust deployment and efficient scaling of microservices.• Enhanced AI model performance through fine-tuning and optimization, leading to significant improvements in service accuracy and response time.• Conducted code reviews and enforced best practices for coding & testing, ensuring maintainability and high code quality across all AI microservices. Show less

Roles & Responsibilities:• Architected and built web applications utilizing Django, Flask, and FastAPI, with a focus on ensuring robustness and scalability.• Maintained clean and structured code following Python PEP 8 standards for maintainability and testability.• Leveraged serverless architecture and AWS services for efficient, cost-effective, and scalable solutions.• Executed unit testing & mock testing using Pytest, Unittest, and Moto, enabling seamless continuous… Show more Roles & Responsibilities:• Architected and built web applications utilizing Django, Flask, and FastAPI, with a focus on ensuring robustness and scalability.• Maintained clean and structured code following Python PEP 8 standards for maintainability and testability.• Leveraged serverless architecture and AWS services for efficient, cost-effective, and scalable solutions.• Executed unit testing & mock testing using Pytest, Unittest, and Moto, enabling seamless continuous integration.• Successfully managed, mentored, and guided a team of 3 developers, fostering a high-performance work environment.• Experienced in all stages of the Software Development Life Cycle (SDLC) including Analysis, Planning, Development, Testing, and Post-production analysis.• Demonstrated strong problem-solving skills, promptly identifying and resolving issues within production environments.• Collaborated effectively with cross-functional teams, including product owners, designers, and QA, to deliver user-centric solutions. Show less

Roles & Responsibilities:• Developed Python code and APIs using Django and Flask frameworks, adhering to Agile methodologies.• Resolved technical issues through debugging, support coding, and functional testing.• Managed all phases of the Software Development Life Cycle (SDLC) using Python.• Collaborated with internal teams to understand business requirements and provided technical solutions.