► Deployed RAG assistants for banking use cases (compliance, intranet search, market insights)

► Developed analytics across 900+ products to project $40MM savings on software spend

► Built multimodal GenAI microservices to standardize model usage (OpenAI, Gemini, Llama)

► Aligned GenAI guardrail stacks to internal risk & control standards (hallucination checks, citation enforcement, objective priming, prompt hardening)

► Fine-tuned speech-to-text model for transcriptions focused on banking terminology (Whisper)

► Researched emerging LLM technologies (MCP, tool-calling, guardrails, knowledge graphs)

► Translated line-of-business requirements from SMEs into retrieval and prompt patterns

► Drove cross-team standards for LLM programming with hands-on tutorials and playbooks (Docker, LangChain, vector RAG, prompt engineering)

► Led data scientists to develop production-grade GenAI solutions

► Led data science and analysis efforts in a dynamic tech startup environment

► Shipped a YouTube title recommender supporting over 2 million creators (TensorFlow)

► Predicted YouTube search traffic for millions of unique daily keywords

► Aggregated daily TikTok sound trends for 50K+ users of mobile app

► Expanded coverage for keyword research tool by ~50% of edge cases via new heuristics

► Designed content-aware features and offline evaluation metrics for machine learning models

► Ran A/B tests to improve the core keyword product (gibberish detection, topic-based filtering)

► Partnered with product owners and creators to translate pain points into experiments

► Collaborated with engineers to productionize model deployment and model monitoring (AWS)

► Expanded core data science team with 5 new hires

► Executed Agile and Waterfall projects with engineers and data scientists

► Adhering to PIIA requirements; specific project details are confidential

► Developed RESTful APIs using Laravel to standardize the data ingestion of product platforms

► Designed and implemented data parsers in PHP and SQL for handling data ETL pipelines

► Developed supervised learning models to predict problems encountered by web searchers

► Contributed to grant writing efforts on emerging big data infrastructure, deep learning, bias in information retrieval, and explainable recommendation systems

► Mentored undergraduate and graduate students on research projects, providing guidance on experiment design, software development, and academic writing