Designed and tested a Rag chatbot using over 100 documents and more than 50 user queries; evaluated RAG chatbot quality using RAGAS metrics on 200+ responses, reducing hallucinations by 35%; created over 30 test cases covering edge and failure scenarios for LLM output; tested retrieval strategies and prompt changes, improving answer relevancy by 20%.

AI Software Engineer at LinkedIn

March 1, 2024 - November 1, 2024

Delivered high-performance Java and Python code; reduced processing time by 55%; refined an LLM-powered chatbot using Azure AI Search, OpenAI APIs, and RAG pipelines; boosted engagement by 40% and reduced query time by 30%; integrated advanced APIs improving system responsiveness by 25%.

AI Engineer at LinkedIn

December 1, 2024 - October 1, 2025

Took on the role of AI Engineer in addition to development, leveraging automation and AI/ML validation for cloud deployments to improve system stability; built AI tools for GTM and marketing teams, including automated content summarization, customer insights extraction, and lead-research assistants that reduced manual effort by 40%; pioneered cloud workflows and data pipelines using Azure Blob to validate real-time prediction models, enabling fully automated testing processes and saving 20% of time weekly; instituted a novel testing framework utilizing BLEU and ROUGE scores to evaluate context accuracy in AI-driven applications, leading to a 10% enhancement in content summarization quality; improved model deployment processes by automating workflows for continuous testing using Azure DevOps Pipelines, reducing deployment time by 40%.

AI Residency Program Participant at Google

August 1, 2022 - January 1, 2024

Spearheaded prompt engineering efforts within LangChain, Vertex AI and OpenAI, drastically improving the relevance and coherence of LLM-generated content by 35% across diverse applications; structured data pipelines for vector search and embedding models, augmenting AI workflow with enhanced retrieval accuracy and improved response quality by 10% across all applications; optimized deployment of AI models by 35% using containerized solutions in Docker and Kubernetes.

AI/ML Research Associate at California State University, Fullerton

August 1, 2022 - January 1, 2024

Facilitated faculty-led research on app structure and scalability for AI/ML systems; applied cloud-native AI APIs to enhance model accuracy and achieve real-time, scalable recommendations; tutored 180+ students in AI/ML, focusing on practical application of machine learning models, leading to a 7% average improvement in test scores across assessed modules.