• Led the design and development of an AI-powered Q&A system to boost AutoCAD developers' productivity by answering queries using Large Language Models (LLMs) and Retrieval Augmented Generation (RAG)

• 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

• Designed, developed, and deployed robust backend, DevOps, IaC solutions to support 60+ products & components.

• 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.

Natural Language Processing of restaurant reviews (named entity recognition and sentiment analysis)

• 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