Aniket Bedwal

I’m a Production-focused AI Engineer with 3 years of experience architecting scalable backend systems and Retrieval-Augmented Generation (RAG) pipelines. I focus on turning LLM prototypes into enterprise-grade microservices with strong reliability, compliance, and measurable performance.

I’ve deployed Generative AI solutions that index 50,000+ complex medical documents and optimized PostgreSQL query latency by 50%. I also engineered fault-tolerant data ingestion workflows processing 100k+ pages/month, with HIPAA-compliant processing and compliance gains of 40%.

In my recent work, I design agentic AI systems for autonomous reasoning, tool usage, and multi-step task execution using LangChain and LangGraph. I build speech-enabled pipelines integrating STT and TTS for low-latency, real-time conversational agents, while applying neuro-symbolic constraints to reduce hallucinations.

I’m equally passionate about observability and operational excellence—centralized logging, cross-service correlation, and dashboards to drive faster troubleshooting and steady uptime. I collaborate on modernization efforts like migrating monoliths to SOA and modularizing services to support team-level parallel delivery.