Varshitha Gogineni

Carrier-agnostic agentic loop that completes an 8-page workers' compensation insurance quote end-to-end with zero carrier-specific code — an OpenAI reasoning model drives a Playwright MCP server controlling a real Chromium browser via function calling.

• Engineered a self-healing core that auto-captures the live page snapshot on any tool failure and reinjects it, letting the model recover from complex Angular/PrimeNG widgets in real time without hard-coded selectors.
• Delivered a validated live submission ($539 instant quote, 0 errors, ~9-minute run); added recipe record-and-replay so routine runs cost cents — cutting projected cost at scale by ~10x.
• Designed a modular TypeScript architecture (agent loop, MCP client, per-carrier mapping, CLI) with token/cost tracking — adding a new carrier requires only a single new file.

Real-time LLM voice assistant for UNT's College of Merchandising, Hospitality and Tourism — helps students and faculty locate rooms and provides front-desk help.

• Built with Gemini + LangChain, modular tool-calling, and session memory for context-aware multi-turn workflows.
• Optimized API latency and token usage via prompt caching, batched requests, and efficient context window management.

Hands-free AI fitness companion using Whisper STT, React, n8n, and OpenAI. Recognized as Top 14 of 32 teams at Dallas AI 2025.

• Built a voice-enabled AI assistant with Whisper STT and a responsive React front-end.
• Designed automated task workflows in n8n reducing manual interaction steps by 60%+.

End-to-end GCP data pipeline processing 1,048,575 CDC BRFSS healthcare survey records (2020–2024) into real-time informatics insights.

• Engineered scalable ETL, batch, and streaming workflows with Cloud Storage, BigQuery, and Spark + Hive on Dataproc.
• Reduced health-alert delivery latency from minutes to under 5s via Pub/Sub streaming into BigQuery.
• Delivered Power BI dashboards across 27 BRFSS variables for near-real-time public health monitoring.

End-to-end batch pipeline ingesting 10M+ NYC Yellow Taxi trips into BigQuery with bronze/silver/gold medallion layering and dbt-modeled analytics.

• Orchestrated ingestion, transforms, and Great Expectations data quality checks as Apache Airflow DAGs with retries.
• Published metrics in a Looker Studio dashboard for at-a-glance KPI monitoring.