
Swayam Prakash Sahu
@swayamprakashsahu
I build production-grade agentic AI, RAG, multimodal intelligence, and full-stack automation systems.
What I'm looking for
At GyanSys for Applied Materials, I build production-grade agentic AI systems that automate enterprise work. My LangGraph email assistant reduced manual inbox effort by 65% under Human-in-the-Loop safeguards.
I built meeting intelligence that analyzes video, audio, and on-screen activity to extract decisions and action items with 95% detection accuracy, enabling insights from hour-long recordings in under five minutes.
I've also delivered RAG-based invoice search, OCR pipelines, and 20+ REST APIs for an attendance platform, improving reporting and dashboard performance. Previously at Igentico, I built voice-agent orchestration and RAG retrieval over enterprise call transcripts.
I enjoy turning LLMs, computer vision, speech, and full-stack engineering into practical products, from video-generation platforms to semantic e-commerce search.
Experience
Work history, roles, and key accomplishments
Software Engineer - AI and Machine Learning
GyanSys
Feb 2024 - Present (2 years 7 months)
Architected a production-grade agentic email assistant on LangGraph, LangChain, and LLMs, reducing manual inbox effort by 65%. Built an AI-powered meeting intelligence system and a RAG-based invoice search engine, achieving high accuracy and significant efficiency gains.
AI Engineer
Igentico
Sep 2023 - Feb 2024 (5 months)
Engineered an agentic voice AI platform using Qwen2.5, STT/TTS, RAG, and LiveKit for autonomous real-time customer conversations. Designed the voice-agent orchestration layer with context-aware turn-taking and AI-to-human handoff.
Open-Source Contributor
TimeChain Labs
Jun 2023 - Aug 2023 (2 months)
Designed and shipped the Neucron swipe widget during TimeChain Summer of Code.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology Roorkee
Executive Program, Product Management with Applied AI
2025 - 2026
Grade: CGPA 9.7
Activities and societies: Relevant Coursework: Product Discovery & User Research, AI Product Strategy & Planning, PRD & Product Development, Product Analytics & Experimentation, GTM Strategy & AI Product Launch, Mixpanel, Airtable, n8n, zapier, & Figma
Executive Program in Product Management with Applied AI, achieving a CGPA of 9.7.
Institute of Technical Education and Research, Siksha 'O' Anusandhan University
Bachelor of Technology, Computer Science
2020 - 2024
Grade: CGPA 8.5
Activities and societies: Relevant Coursework: Machine Learning, Natural Language Processing with Deep Learning, Operating Systems, Web Development.
Bachelor of Technology in Computer Science with a CGPA of 8.5.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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