Pranav Dave

Defined system architecture, scaling strategies, and technical roadmaps for early-stage startups; conducted technical due diligence and system audits to identify scalability risks and improve reliability; designed and implemented AI-powered features using LLM APIs (OpenAI, Anthropic) for automation, decision support, and user-facing intelligence; built RAG-based systems integrating vector databases and internal data sources to deliver accurate, context-aware responses; developed workflow automation pipelines combining APIs, LLMs, and backend services to reduce manual operations and boost efficiency; integrated AI copilots and assistant features into web applications to enable natural language interaction and task execution; built data pipelines for text processing and enrichment to support intelligent search.

Architected and built the Electronic Visit Verification (EVV) platform from scratch. Increased unit test coverage from 20% to 60%, improving reliability. Designed GraphQL APIs for scalable data access. Built serverless architecture on AWS, and developed COVID-tracking workflow monitoring. Implemented monitoring solutions using CloudWatch, New Relic, and Sentry.

Developed a full-stack food ordering platform using Django, AngularJS, and AWS. Designed REST APIs and microservices for web and mobile apps. Optimized database queries and ORM usage to boost performance. Reduced release cycles by 50% through deployment automation. Built analytics dashboards for business metrics.