Deepak Khimavath BB

AI platform and developer tools engineer who builds production systems, not demos. Designed, built, and shipped a multi-provider LLM routing Visual Studio extension, a serverless PR review agent (50+ pull requests reviewed org-wide in 30 days), and a 6-agent code pipeline backed by a dual-layer RAG system — each as the sole engineer. Resolved a 15–20 hour processing bottleneck down to 15 minutes across a distributed event-driven architecture with 50+ microservices.

Recognized by the Director of Engineering and Chief Solution Architect for driving the organization's AI platform and agent engineering direction.

AI Platform & Developer Tools Engineer - Eton Solutions

(2025-07)

Financial services platform · 50+ microservice event-driven architecture · AI tooling · Recognized by Director of Engineering & Chief Solution Architect

• EDA Throughput: Diagnosed and resolved a routing bottleneck in the core message-queue layer — cutting end-to-end processing latency from 15–20 hours to under 15 minutes across a 50+ service distributed system, with no regression on dependent services.
• Microservice Ownership: End-to-end ownership of three production financial microservices: EliminationService (trade elimination), DFRulesProcessorService (rules evaluation engine), and JournalEntryPersistService (ledger persistence) — design through deployment.
• AI Platform: Designed and delivered the engineering team's internal AI platform — a VS extension, an automated PR reviewer, and a multi-agent code pipeline. Worked directly with the Director of Engineering and Chief Solution Architect on architecture decisions; all three systems are in active production use.

Full-Stack Developer Intern - Spurzee Technologies

(2024-07 - 2025-06)

Algorithmic trading systems · LLM signal integration · AWS / DigitalOcean

• Trading Platform: Built a real-time stock analysis system with automated options execution, LLM-assisted trade signal generation, and market pattern detection — improving data processing throughput by 25%.
• Price Forecasting: Trained and deployed a Random Forest regression model for stock price prediction; managed full lifecycle from model development through cloud production deployment.

Alumni Mentor — Agentic AI & Developer Tooling - PES Institute of Technology and Management

Invited back to campus · Guest instruction for junior engineers

• Conducted sessions on practical AI platform engineering — multi-agent system design, RAG architecture, LLM infrastructure, and developer tooling — focused on the gap between academic ML and production AI work.
• Mentored students on building real systems: agent orchestration patterns, prompt engineering discipline, and how AI-assisted developer workflows are structured in industry.

B.E. - Computer Science & Engineering - PES Institute of Technology and Management (2021 - 2025)