B. Ruthvik

GenAI Backend Developer & Systems Architect specializing in multi-agent workflows (LangGraph), local LLM orchestration (Qwen, open-weights), and scalable backend infrastructure (FastAPI). Proven track record of architecting evidence-gated AI pipelines and resilient evaluation environments for enterprise clients. Highly focused on optimizing backend architecture, eliminating LLM hallucinations via GraphRAG, reducing API latency, and deploying production-ready AI systems for fast-scaling startups.

AI Benchmark Contributor (Contract) - Project Dynamo / Handshake AI

• Engineered highly rigorous, terminal-based evaluation environments to test the reasoning, exploration, and judgment capabilities of autonomous AI agents.
• Developed containerized CI/CD pipelines and Docker environments to ensure complex engineering tasks are validated against strict Pass@2 and Pass@8 accuracy metrics.
• Designed resilient evaluation criteria to eliminate ambiguous specifications and uncorrectable decoys.

GenAI Engineering Intern - Nimblize

• Developed AI-powered product intelligence workflows utilizing FastAPI, LangGraph, PostgreSQL, and Redis.
• Architected scalable Retrieval-Augmented Generation (RAG) backend APIs supporting high-throughput multi-agent AI workflows.
• Implemented prompt orchestration, evaluation telemetry, and automated backend deployment utilizing Git-based software engineering principles.

Data Integration Intern - Bluestock Fintech

• Automated structured data pipelines and generated dashboard completion reports, integrating Power BI directly into production web frontends.
• Analyzed, cleaned, and validated complex financial datasets to generate actionable business insights with zero disruption to live architectures.

Bachelor of Technology (B.Tech) - Electronics & Communication Engineering - Anurag University