• Joined as engineer #2, building in the real-time agentic voice AI B2B dental saas vertical

• Helped build a B2B marketplace to sell flexible office spaces.

• Joined the company as the #1 founding engineer.

• Boosted deal volume by 400% and expanded active clients by 200% through automation in touring, contract generation, and deal servicing over 6 months.

• Won the first company hackathon by building an AI chatbot that leverages all unstructured data like call transcripts, emails, onboarding forms, chat history, etc to improve lead conversion and user retention.

• Cut down the turnover time on servicing deals from multiple months to a few days by launching self-serve features and automated tours to target 2x lead conversions and a 25% MoM growth.

• Developed a serverless webhook pipeline to automate and streamline the operations process by integrating hubspot, front, slack, and retool saving about $20k annually.

CS 4261/8803: Mobile Application & Services

Guided over 75+ student teams in taking their ideas to conception, and helped them pitch at startup competitions by brainstorming use cases, user personas, business model canvas, value proposition, technical architecture, A/B testing, etc. (In different domains like fitness/finance/productivity/management/travel/social/academics etc).

• Contributed to design meetings and took ownership of independent sub-projects.

• Configured Helm charts for microservices in the kubernetes cluster reducing deployment time by 20%.

• Shipped full-stack tasks end-to-end using Angular.js, Spring Boot, MySQL, and JUnit.

• Deployed on AWS clusters using Docker and kubernetes; ensured CI/CD using Jenkins and Argo.

• I spearheaded the PathAI team as the founding engineer, expanding it to a team of 10 skilled individuals and leading the development of AI-driven microservices for the analysis, visualization, and management of medical imaging data and patient records.

• Developed a visualization platform to support big data analytics using GraphQL and REST APIs.

• Built efficient data pipeline using Airflow, AWS S3, and Lambda for ETL jobs on large-scale images.

• Integrated an inference pipeline by deploying ML models using AWS EC2 and Amazon Sagemaker.