Summary
Deepak Kumar is an AI consultant and software engineer with 9 years of experience building production-grade GenAI systems, internal copilots, and developer tooling from Bengaluru. He has driven LLM training and RLHF evaluations for top-tier models (LLaMA/GPT/Gemini) and built MCP and RAG infrastructures that cut discovery and manual work by large margins in enterprise settings. At Wrike and Airmeet he shipped scalable, low-latency services and Vertex AI–powered RAG portals handling tens of thousands of daily queries, while at Turing he engineered prompt suites and evaluation pipelines that measurably improved code generation accuracy and reduced hallucinations. Deepak combines startup grit—taking products from 0→1 as a founding engineer—with applied ML rigor, and often focuses on bridging research and engineering to make agentic AI workflows practical for developer teams. A hands-on polyglot (Python, TypeScript) who also builds micro-SaaS products, he pairs performance-minded backend design with pragmatic AI adoption playbooks.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Technology, Computer Science, Bachelor of Technology, Computer Science at GALGOTIAS UNIVERSITY
English, Hindi