Manas Agarwal

About

Customer-facing software engineer who builds and deploys practical AI/RAG solutions (e.g., an AI assistant for searching billing PDFs) by deeply understanding support workflows and iterating with users. Demonstrates strong production instincts—quickly stabilizing peak-traffic API timeouts with caching/background jobs, then implementing durable fixes with proper monitoring and maintainable code practices.

Experience

Education

Key Strengths

• Built and deployed customer-facing AI tool to answer questions from billing PDFs; reduced repetitive support tickets and improved response speed
• Strong customer discovery: works directly with support teams to understand real workflows and iterate based on feedback
• Improved messy PDF retrieval accuracy via preprocessing, OCR, and better chunking
• Production incident response under pressure: diagnosed API timeouts, added caching and background jobs to restore service within minutes
• Methodical integration approach: requirements review, data model mapping, PoC validation, incremental rollout with logging/monitoring
• Balances rapid prototyping with maintainable delivery by rewriting validated prototypes with tests, structure, and documentation
• End-to-end ownership of full-stack analytics dashboard (backend + frontend)
• Proven performance tuning: reduced heavy endpoints from seconds to under a second via indexing/query optimization/caching
• Scalability mindset: stateless services with fast session state (Redis) and horizontal scaling approach
• Designs low-latency systems using async/background processing and graceful fallbacks
• Strong cross-functional collaboration with non-technical stakeholders using mockups/flow diagrams and iterative prototyping
• Load testing and iterative optimization based on observed system behavior
• Built systems supporting thousands of users with consistent performance