i build AI systems that actually do something useful - not chatbots, not wrappers, not "chat with your PDF" demos.

when i'm not obsessing over retrieval pipelines and document intelligence systems, i'm probably:

• reverse-engineering why some RAG system hallucinated with full confidence
• doing outreach to companies that don't know they have an AI problem yet
• or building something at midnight that'll either be embarrassing or impressive by morning

🏢 Internal Policy Intelligence System
Employees ask HR the same questions every day. HR gets annoyed. The answer is always buried in some doc nobody reads. I built a RAG system that answers policy questions in seconds, with source citations and access controls. Governance-controlled, version-aware, zero hallucination tolerance.
Live demo available · Targeting regulated Indian companies · try it live

📄 Tender Intelligence Engine
Procurement opportunities are scattered across CPPP, IITs, and institute portals, making it easy for sales teams to miss high-value tenders. I built an AI-driven tender intelligence pipeline that monitors multiple sources in real time, filters noise, detects fresh opportunities, and maps each tender to the most relevant manufacturers. Instead of manual portal hunting, teams get a ranked list of actionable leads delivered daily.
Multi-source scraping · semantic manufacturer matching · sales-ready intelligence reports

before I got obsessed with applied systems, I did proper research:

• HYDRAN — brain tumor detection model that outperformed all benchmark architectures. yes, it's a cool acronym, no, I will not apologise for that
  Deep Learning · Medical Imaging · Research-grade

• XGBoost Stock Trading Pipeline — compared ML predictions vs rule-based technical analysis on Indian equities. spoiler: both lose sometimes
  Quantitative ML · Indian Markets · Shipped

• 30-Day ML Challenge — 15+ projects in 30 days. regression to clustering to from-scratch implementations. built to stop being scared of the fundamentals
  15+ Projects · From Scratch · Completed

• Ask Krishna — AI assistant grounded in the Bhagavad Gita. full-stack SaaS with auth, streaming AI, and a deliberately minimal aesthetic. built over a weekend
  Full-stack SaaS · Streaming AI · Live

• AURA — voice-first assistive AI for elderly and visually impaired users. processes speech and visual input to help users understand their surroundings
  Multimodal · Assistive Tech · Voice-first

• MedWaste Guardian — multi-modal AI system that classifies biomedical waste via image, voice, or text and guides correct disposal based on actual legal regulations
  Multimodal · Compliance-grounded · Shipped

• AI Client Acquisition System — end-to-end sales pipeline. finds leads, writes personalised outreach, sends it, follows up, makes cold calls with a human-like voice, updates the CRM. fully automated
  n8n · LLM Orchestration · End-to-end Demo

• Siri + n8n Personal Assistant — turned Siri from a basic voice assistant into a domain-specific AI agent that handles emails, calendar, and web research through voice
  Voice Agent · n8n · Personal Automation Demo

• AI Cold Calling System — fully automated outbound calling workflow. AI places calls, delivers a human-like pitch, handles live responses, and updates CRM records in real time
  Voice AI · CRM Integration · Fully Automated Demo

explore more about me → Portfolio

• final year BTech, AI & ML
• open to remote AI engineering roles and freelance work involving document intelligence, RAG systems, or workflow automation
• i write about what i build → hashnode.com/@ayoozzzz
• i talk about it too → youtube.com/@devayushrout

i use Antigravity as my IDE because it talks back.
my rubber duck debugger has opinions now and honestly it's an improvement.

📬 devayushrout.work@gmail.com · linkedin · github