About Me
Get to know me better
AI Engineer & Full Stack Developer
I'm an AI Engineer and Full Stack Developer with a Master's in Computer Science and a focus on building scalable, production-ready AI systems. I specialize in Retrieval-Augmented Generation (RAG), LLM integration (OpenAI, Claude, Gemini), and backend infrastructure using Python, FastAPI, LangChain, and vector databases like LanceDB and Qdrant. I've deployed real-time agents and RAG pipelines for enterprise use cases, including Fortune 500 clients.
Hoboken, New Jersey
akshatsahu2634@gmail.com
+1 (201) 275-7594
Work Experience
My professional journey
Founding AI Engineer
Future Path AI
Cupertino, CA
January 2024 — Present
- Built real-time voice and chat agents integrated with Microsoft Teams and SIP telephony, orchestrating text-to-speech and speech-to-text pipelines for interruption handling and dialogue state management. Achieved around 400ms end-to-end latency at 10k+ concurrent sessions.
- Engineered multi-tenant AI agents with a modular RAG architecture leveraging vector databases (LanceDB, Qdrant) for semantic retrieval and deployed secure on-prem solutions for Fortune 500 pharma/finance that boosted factual accuracy by 30%.
- Developed AI-based intent classifiers integrated with various ITSM tools such as ServiceNow, Intune, MS365 to automate IT support workflows by leveraging LLMs for generative UI rendering via dynamic adaptive cards, reducing average ticket resolution time by 60% compared to manual triage processes.
- Built follow-up suggestion and citation systems using semantic context linking and retrieval-grounded prompting, lowering ungrounded responses by 45% and improving accuracy and reliability across interactions.
RAG
LLMs
Vector Databases
NLP
Microsoft Teams
ServiceNow
Software Engineering Intern
Nagarro
Gurugram, India
March 2023 — July 2023
- 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.
Java
Spring Boot
Hibernate
MySQL
Angular
RESTful APIs
Education
My academic background
Stevens Institute of Technology
Master of Science (MS), Computer Science
September 2023 — May 2025
Hoboken, New Jersey
GPA: 3.9/4
- Web & Media Graduate Assistant at Hanlon Financial Systems Center
Manipal University Jaipur
Bachelor of Engineering (BE), Information Technology
July 2019 — July 2023
Jaipur, India
GPA: 8.62/10
Skills & Expertise
Technologies I work with
Programming Languages
PythonJavaScriptTypeScriptJavaC/C++SQLHTMLJSPServletsCSSJSONXML
AI and ML
Retrieval-Augmented Generation (RAG)Natural Language Processing (NLP)Prompt Engineering
Large Language Models
OpenAI GPTClaude (Anthropic)Gemini (Google)LLaMA (Meta AI)
Frameworks and Libraries
LangChainLlamaIndexFastAPIRESTful APIsNode.jsExpress.jsNext.jsSpring BootSpring MVCAngularStreamlitAzure Bot Framework
Databases and DevOps
AWSAzureSupabaseLanceDBQuadrantMySQLMongoDBGitGitHubJenkins
Projects
Some of my recent work
PitchPilot AI
March 2025 — May 2025
AI-powered investor pitch analyzer and coach that evaluates pitch decks and provides strategic feedback using multi-agent workflows.
Key Features:
- 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.
- 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.
- 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.
FastAPI
LangGraph
OpenAI APIs
PostgreSQL
Prisma ORM
Supabase Storage
OCR
DocuChat AI
January 2025 — February 2025
Enterprise-grade AI-powered document intelligence platform that transforms documents into intelligent, conversational knowledge bases using advanced RAG technology.
Key Features:
- Developed DocuChat AI, an enterprise-grade AI-powered document intelligence platform using FastAPI, LanceDB, and OpenAI GPT-4.1, enabling natural language conversations with documents through cutting-edge RAG (Retrieval-Augmented Generation) technology.
- Architected a robust vector search system with LanceDB and Redis-backed conversation persistence, supporting multi-format document processing (PDF, DOCX, PPTX, TXT) with real-time chat capabilities and user session isolation.
- Built a modern Next.js 15 frontend with React 19, Tailwind CSS, and Framer Motion animations, featuring drag-and-drop file upload, live progress tracking, and responsive chat interface with enterprise-level security.
- Implemented advanced document chunking strategies, OpenAI text embeddings, and function calling capabilities to optimize retrieval accuracy and response quality, delivering contextually relevant answers from large document collections with background cleanup tasks.
FastAPI
LanceDB
OpenAI GPT-4.1
Redis
Next.js
React
Python
Contact Me
Let's get in touch