Akshat Sahu
Building production-grade AI agent systems. Specializing in multi-agent orchestration, RAG pipelines, and enterprise AI.
const engineer = {
name: "Akshat",
focus: "AI Agents",
stack: [
"Multi-Agentic Workflows",
"DeepAgents",
"LangGraph",
"RAG",
"MCP"
],
degree: "MS CS",
gpa: 3.9
}
Get to know me
About Me
Software Engineer
AI Engineer @ Intapp
I'm a Software Engineer with a Master's in Computer Science, passionate about building and startups. I specialize in production-grade AI agent systems at scale — multi-agent orchestration on LangGraph and DeepAgents, hybrid retrieval RAG (pgvector + BM25 via RRF) with cross-encoder reranking, and MCP-driven integrations spanning 80+ enterprise tools. At Intapp, I'm building AI Coworkers for Celeste — autonomous agents that turn firm knowledge and complex workflows into intelligent action. Previously, as founding AI engineer at FuturePath AI, I architected autonomous agents for Fortune 500 pharma and finance clients, with rigorous DeepEval / RAGAS / Langfuse evaluation pipelines guiding model selection across OpenAI, Anthropic, and Gemini.
Professional journey
Work Experience
Academic background
Education
Stevens Institute of Technology
MS · GraduateMaster of Science in Computer Science
Manipal University Jaipur
BE · UndergraduateBachelor of Engineering in Information Technology
Technologies I work with
Skills & Expertise
Languages
7 skills
Recent work
Projects
Analyzes whether your AI coding agent is actually shipping code by correlating Claude Code token usage with git commits. Reads local session files, matches with git history by timestamp, and generates an ROI dashboard — zero config.
Cost per Commit: calculates token expenses per AI-assisted commit to surface the true dollar cost of each code change.
Line Survival Rate: tracks the percentage of AI-written code still present after 24 hours, distinguishing genuine contributions from throwaway drafts.
Orphaned Sessions: detects unproductive Claude Code sessions with no matching git activity, highlighting wasted spend.
Solo AI coaching platform helping startup founders refine pitch decks through automated analysis, real-time voice and chat investor simulation, and feedback grounded in Y Combinator pitch heuristics.
Built PitchPilot, a solo AI coaching platform helping startup founders refine pitch decks through automated analysis, real-time voice and chat investor simulation via the OpenAI Realtime API, and feedback grounded in Y Combinator pitch heuristics.
Designed multi-agent workflows on FastAPI and LangGraph with persistent state, ingesting PDF/PPTX/DOCX decks via a document parsing pipeline backed by PostgreSQL, Prisma, and Supabase Storage.
Engineered an LLM-driven PDF and PPTX generation pipeline using few-shot prompting against curated benchmark decks to produce polished revisions and coaching reports for founders.
Contact
Get In Touch
Let's build something together.
Have a project in mind or want to discuss opportunities? I'd love to hear from you.
“I'm particularly interested in early-stage AI infrastructure, multi-agent systems, and founding engineering roles.”