• Built an AI-powered sales intelligence platform using multi-agent LLM orchestration to automatically research, enrich, and brief sales teams on inbound leads - integrating Salesforce, Gong, Databricks, and web search into a unified event-driven research pipeline deployed on AWS EKS

• Designed and shipped the Slack interface for Agents, enabling sales reps to trigger AI-generated account briefs, search leads, and push enriched data to Salesforce directly from natural language commands in Slack with real-time streaming responses

• Developed an LLM evaluation framework and output guardrails to ensure agent response quality at scale, including automated eval pipelines, prompt versioning via Langfuse, OpenTelemetry-based observability, and production safeguards against data leakage

• Founding member of multiple teams focused on AI integrations

• Implemented observability features to monitor AI service uptime and latency using Data Dog and Grafana

• Designed and deployed containerized AI services using AWS EKS and Docker, ensuring scalable and resilient data processing.

• Deployed an internal chat-based AI agent, boosting call center efficiency by 15%

• Developed and maintained CI/CD pipelines using GitHub Actions

• Worked cross-functionally with data scientists to fine-tune AI models based on real-world user interactions

• Built and deployed a full-stack daily medication organizer app

• React.js, Ruby on Rails, PostgreSQL, Heroku, Surge, CSS.

• Built and deployed interactive game leveraging HTML, CSS, JS