Summary
Kaustav Ganguly is an Advanced AI Engineer based in Bengaluru with 8 years building production-grade AI systems and distributed backend platforms. He has deep hands-on experience designing high-throughput, fault-tolerant pipelines and serverless architectures that process millions of conversational interactions daily, integrating speech-to-text and LLM inference to deliver actionable insights. At startups he shipped RAG-based legal analysis, Text-to-SQL decomposition, real-time WebRTC signaling, and optimized databases and IPC for multi-service coordination—demonstrating both breadth across the ML stack and pragmatism in systems engineering. His work emphasizes resilience and observability (DLQs, structured logging, tracing) and cost-sensitive designs that scale elastically. Now at Honeywell after roles at Convin and Factacy.ai, he blends SRE, data engineering, and ML productionization skills to turn research into reliable products. An understated strength is his knack for squeezing latency and cost out of complex pipelines while preserving model accuracy in real-world deployments.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at MSIT