I architect, develop, and operationalize highly scalable and robust web services at Edgeverve. My expertise lies in leveraging the power of AWS cloud infrastructure, coupled with advanced Python frameworks like Flask and FastAPI. Additionally, I possess a strong foundation in Machine Learning and Deep Learning techniques, with a specific focus on Natural Language Processing (NLP) and Generative AI (GenAI).
At Edgeverve, I’ve actively contributed to projects that utilize NLP and GenAI models to enhance user experiences and functionalities. This has involved fine-tuning large language models (LLMs) like Llama, Gemini, and OpenAI to achieve optimal performance within our specific web service applications.And to check out the response from prompt engineering used RAG retrieval approach for these models.
Drawing upon 2.8+ years of experience in software engineering, I bring a diverse skillset to the table. Previously, at Honeywell, I served as an Embedded Engineer, tackling intricate challenges in the domains of Aerospace and Data Warehouse Management.
Driven by a passion for unraveling complex problems, I craft innovative solutions that generate tangible value for both customers and stakeholders. My dedication to continuous learning fuels my pursuit of new skills and the constant refinement of my competencies. I thrive in collaborative environments, fostering effective teamwork with diverse teams.