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
Founding Engineer @ Future Path AI
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 — designing multi-agent orchestration platforms, RAG pipelines, and MCP-driven tool integrations with LangGraph, vector databases (LanceDB, Qdrant), Python, FastAPI, and LangChain. At Future Path AI, I've architected autonomous enterprise agents for Fortune 500 clients in pharma and financial services, delivering measurable gains in retrieval accuracy, evaluation rigor, and ticket resolution efficiency.
Professional journey
Work Experience
Founding Software Engineer
Future Path AI
- Architected core AI agent infrastructure powering an enterprise platform that autonomously resolves IT operations at scale — designing multimodal RAG pipelines with vector databases and contextual retrieval and reranking layers, delivering 30% improvement in retrieval accuracy across Fortune 500 clients in pharmaceutical and financial services.
- Built comprehensive evaluation frameworks using DeepEval to benchmark agent performance, RAG accuracy, and tool-use reliability across key metrics — including hallucination detection, faithfulness, contextual relevancy, and task completion rates — driving data-backed model selection and prompt optimization decisions.
- Developed a multi-agent orchestration platform leveraging LangGraph and the DeepAgents framework, enabling autonomous agents to reason, plan, and execute complex multi-step tasks with dynamic tool selection and adaptive skill composition across enterprise procurement and IT automation workflows.
- Designed an MCP orchestration layer integrating 10+ enterprise tools (ServiceNow, Kubernetes, Prometheus) with a modular skills architecture — powering chat agents on Microsoft Teams and ServiceNow ITSM that resolve end-user IT issues with seamless human handoff and real-time copilot assistance, reducing ticket resolution time by 60%.
Software Engineering Intern
Nagarro
- Engineered a comprehensive Product Community Website leveraging Java, Spring Boot, Hibernate, MySQL, and Angular to deliver modular services for user registration, product browsing, and review management—boosting new user sign-ups by 50% through a scalable, event-driven architecture.
- Developed high-performance RESTful APIs using Java Spring Boot for secure user authentication, registration, product search, and review management. Optimized API workflows with microservices design and strategic caching, reducing 95th percentile response times by 30%.
- Integrated Hibernate ORM with MySQL to enforce secure and efficient data storage/retrieval for user and product information. Implemented advanced indexing and query optimization strategies, resulting in a 40% improvement in database query efficiency.
- Created interactive, responsive front-end interfaces using Angular that leverage dynamic content rendering and client-side caching, leading to a 25% increase in page views per user and improved session engagement.
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
13 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.
AI-powered investor pitch analyzer and coach that evaluates pitch decks and provides strategic feedback using multi-agent workflows.
Developed PitchPilot, an AI-driven platform for investor pitch analysis using FastAPI, LangGraph, and OpenAI APIs, orchestrating multi-agent workflows with persistent state management to evaluate pitch decks on clarity, differentiation, and scalability.
Engineered an AI coaching system using LangGraph's multi-step reasoning to simulate investor Q&A, generate strategic feedback, and surface recommendations based on Y Combinator pitch heuristics.
Architected a type-safe backend with PostgreSQL and Prisma ORM, incorporated Supabase Storage, and deployed an OCR-enabled document pipeline for extracting content from PDF, PPTX, and DOCX formats.
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.”