Skip to content
View ayushcodes13's full-sized avatar
🎯
Focusing
🎯
Focusing

Block or report ayushcodes13

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
ayushcodes13/README.md

hey, i'm Ayush 👋

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

things i built that people actually used

🏢 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

📄 Document Comparison & Compliance Engine (in progress)
Compliance teams manually read two versions of a 40-page contract to find what changed and whether it's a violation. That's genuinely someone's job. I'm building the system that does it in under a minute.
Architecture complete · Active build


older stuff, research era

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

  • 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

  • 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

explore more about me → Portfolio


tools i actually use

Python LangChain LlamaIndex FastAPI MongoDB Pinecone HuggingFace Ollama n8n Supabase Vercel OpenRouter


professionally

  • 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

and lastly

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

Pinned Loading

  1. Internal-Policy-Intelligence-System Internal-Policy-Intelligence-System Public

    A governed RAG system for enterprise SaaS internal compliance & IT operations support.

    Python

  2. siri-n8n-assistant siri-n8n-assistant Public

    I built a smarter Siri by connecting it with n8n. This assistant goes beyond reminders—handling email (summaries, draft replies), calendar (daily agenda, smart scheduling), and web research (quick …

    1

  3. Ask-Krishna Ask-Krishna Public

    Your personal guide through the timeless wisdom of the Bhagavad Gita. Ask. Listen. Live wiser.

    Jupyter Notebook

  4. TradeSync-ML-vs-Rule-Based-Trading-System TradeSync-ML-vs-Rule-Based-Trading-System Public

    Can simple technical signals be improved upon by machine learning for next-day price direction prediction?

    Jupyter Notebook

  5. MedWaste-Guardian MedWaste-Guardian Public

    A Multi-Modal AI System for Biomedical Waste Compliance

    Jupyter Notebook 1

  6. devayush devayush Public

    Portfolio Website - made with ❤️able & me

    TypeScript