About Me
Data Science and Generative AI Engineer with 2.6 years of experience building, evaluating, and deploying AI/ML solutions that solve real business problems. Skilled in Python, LLMs, RAG pipelines, LangChain, and OpenAI AP…
Data Science and Generative AI Engineer with 2.6 years of experience building, evaluating, and deploying AI/ML solutions that solve real business problems. Skilled in Python, LLMs, RAG pipelines, LangChain, and OpenAI APIs, with hands-on experience analyzing production data to uncover patterns, training and operationalizing models, and deploying scalable solutions on AWS with Docker. Proven track record of reducing manual effort and delivering measurable business value while working closely with cross-functional teams.
Experience
Jr. Software Engineer
<p>Designed and built a Python-based AI solution using Retrieval-Augmented Generation (RAG) and an OpenAI LLM to analyze production application logs through natural-language queries and automate root cause identification, reducing manual log analysis effort by 40% and improving log analysis speed by 45%.</p><p> Analyzed recurring batch job failures across 3 production servers for NCOA, an enterprise batch-processing application, identifying failure patterns and root causes that cut average incident resolution time by 35% in a team of 3 engineers.</p><p> Monitored batch job execution and reviewed application logs across 3 production servers, proactively flagging anomalies and supporting production incident resolution.</p><p> Partnered with cross-functional engineering teams to deploy, operationalize, and maintain the AI application on AWS, supporting production operations and delivering feature enhancements in an Agile environment.</p>
Software Engineer Intern
<p>Developed a .NET-based e-commerce web application with functionality for product browsing and shopping workflows.</p><p> Gained hands-on experience in software development, debugging, web application development, and Git.</p>