Built a knowledge base of text and embeddings from collected data to faciliate semantic search and RAG

Performed prompt engineering and experimented with in-context learning of LLMs for closed-domain Q&A tasks

Containerized and deployed the Q&A system in a microservice architecture on Amazon Web Services

Delivered improvements in product release velocity by implementing process automations and orchestrations.

Demonstrated proficiency in developing software compliant with security best practices and Software Development Life Cycle (SDLC) processes.

Applied software design and engineering knowledge to resolve development and deployment issues, ensuring successful software releases.

Collaborated with cross-functional teams to translate complex business requirements into practical solutions.

Implemented Infrastructure-as-Code (IaC) and Configuration-as-Code (CaC) solutions to reduce toil and improve operational efficiency.

Migrated legacy pipelines and systems to open-source alternatives and helped reduced operating expenditures.

Collected review data from the dining domain

Researched and implemented machine learning and deep learning models for entity extraction (named entity recognition)

Explored and experimented with current approaches for entity-dependent sentiment analysis

Developed a system that extracts dish names from review texts and classifies sentiments with respect to extracted dish names