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arrya5/README.md
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LinkedIn Gmail GitHub AWS AI Practitioner AWS Cloud Practitioner

📍 Chennai, India 🇮🇳  |  📞 +91-9816979777  |  📧 arryathakur5@gmail.com


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🧠 About Me

  • 🎓 B.Tech Computer Science @ SRM Institute of Science and Technology, Chennai (Expected 2027)
  • 🔬 ML Research Intern @ Indian Institute of Technology (IIT), Goa (May–Jul 2025) — Built end-to-end financial forecasting pipelines: ARIMA → Temporal Fusion Transformer (TFT), achieving an 18% reduction in coverage interval error
  • 💼 Summer Intern @ Grant Thornton Bharat LLP (Jun–Jul 2024) — Technology Advisory, audit workflows & internal control frameworks
  • 🏆 AWS Certified — AI Practitioner & Cloud Practitioner (Valid Apr 2026–Apr 2029)
  • 🥉 3rd Place — IdeaSpark Ideathon, Founders Club SRM (2024)
  • 🧠 Building KATHA — a leak-proof multi-agent RAG engine; information asymmetry enforced in the retrieval layer, proven 0-leak by an automated eval suite
  • 🌍 Shipped BLARAA Systems — EU CBAM Carbon Compliance SaaS (React + FastAPI + Vercel)
  • 🎯 Focus: Multi-Agent Systems · RAG · LangGraph · LLM Orchestration & Evals · Applied ML
  • 📚 Seeking: GenAI / Applied AI Engineer roles (Summer/Fall 2026) | Full-time from mid-2027

🚀 Tech Stack

GenAI & LLM

Languages & Web

Python
Python
JavaScript
JavaScript
React
React.js
REST API
REST APIs
Docker
Docker
AWS
AWS
SQL
SQL
GitHub
GitHub

ML / AI / Data

PyTorch
PyTorch
OpenCV
OpenCV
Pandas
Pandas
NumPy
NumPy
Scikit-learn
Sklearn
FastAPI
FastAPI
Streamlit
Streamlit
Gemini API
Gemini API

Databases & Infra

PostgreSQL
PostgreSQL
SQLite
SQLite
Node.js
Node.js
Express.js
Express.js
Git
Git
VS Code
VS Code
Vercel
Vercel
Linux
Linux

💼 Experience

🔬 ML Research Intern — Indian Institute of Technology, Goa (May 2025 – Jul 2025)

Goa, On-Site

  • Engineered an end-to-end forecasting system from classical ARIMA → Temporal Fusion Transformer (TFT) for quantile-based stock prediction, achieving an 18% reduction in coverage interval error
  • Developed advanced architectures including Gated-Attention LSTM and hybrid LSTM-LightGBM ensemble; automated hyperparameter search with Optuna (200+ trials) and PyTorch Lightning
  • Architected a leak-proof data pipeline with automated yfinance ingestion, comprehensive feature engineering, and rigorous time-series cross-validation

💼 Summer Intern — Grant Thornton Bharat LLP (Jun 2024 – Jul 2024)

Gurugram, Remote

  • Analysed audit workflows and internal control frameworks within the Technology Advisory practice
  • Developed working understanding of risk assessment methodologies and professional standards in external audit

🏆 Featured Projects

🧠 Katha — Leak-Proof Multi-Agent Engine

Multi-Agent RAG · GenAI · 2026–Present

Each AI character can only retrieve facts it personally witnessed — information asymmetry enforced in the retrieval layer, not the prompt. Proven 0 leaks across a 28-probe adversarial set by an eval suite that gates CI. Runs offline, no API keys.

🤖 Rocky — Autonomous AI Trading Agent

Agentic Systems · LLM Orchestration · 2026–Present

Autonomous swing-trading agent for NSE/BSE — Gemini-orchestrated macro research + vision chart analysis, a 9+1 execution gate, and walk-forward overfit detection. Runs on 5 scheduled GitHub Actions at ₹0 infra cost. (Paper-trading.)

🌍 BLARAA Systems — Carbon Compliance SaaS

Live Deployed SaaS · 2025–Present

Live SaaS spanning five carbon & energy regulations (EU CBAM, India CCTS, RCO…). Generates CBAM-compliant XML in <60s; a "Glass Box" audit trail enforces regulatory traceability via SQLite + Pydantic validators.

📇 Reach CRM — Agentic CRM

Agentic Tool-Use · Deployed · 2026

CRM driven by a bounded tool-use loop — provider-agnostic LLM, a Filter DSL that blocks LLM-driven SQL injection, and idempotent webhooks. Live deployment with a conscious trade-off design.

✂️ Self-Pruning Neural Network

Applied ML · MLOps · 2026

Dynamic neural-network sparsification in PyTorch (sigmoid gating + L1), served via FastAPI + Docker with pytest. Documents the hard-mask fix for the soft-pruning illusion — an honest engineering writeup.

🚗 Real-Time Accident Detection

Deep Learning · Computer Vision · 2025

Low-latency pipeline using MobileNetV2 transfer learning with 3-phase progressive fine-tuning + custom temporal smoothing. Runs at 25+ FPS; async SMTP alerts with evidentiary screenshots to emergency services.


🏅 Certifications & Achievements

Award Details Year
🏆 AWS Certified AI Practitioner Valid Apr 2026 – Apr 2029 2024
☁️ AWS Certified Cloud Practitioner Valid Apr 2026 – Apr 2029 2024
🥉 3rd Place — IdeaSpark Ideathon Founders Club, SRM 2024
🔬 ML Research Intern Indian Institute of Technology (IIT), Goa 2025
🌐 Rotary International Volunteer 21+ hours, Community Development Projects 2025

📊 GitHub Stats

GitHub Streak


📈 Contribution Activity

Contribution Graph

Profile Views

Thanks for visiting! Let's build something amazing together 🚀

Open to GenAI / Applied AI Engineer roles — Summer/Fall 2026

Pinned Loading

  1. accident-detection-system accident-detection-system Public

    AI-powered Road Accident Detection and Alert System with multi-channel notifications

    Python 1

  2. BLARAA-SYSTEMS BLARAA-SYSTEMS Public

    India's energy and carbon compliance platform — CBAM, CCTS, RCO, CAFE, ECSBC

    JavaScript 1

  3. KATHA KATHA Public

    Leak-proof multi-agent RAG narrative engine — information asymmetry enforced in the retrieval layer, proven 0-leak by an automated eval suite. LangGraph, offline, no API keys.

    Python

  4. reach-crm reach-crm Public

    Agentic CRM with a bounded tool-use loop — provider-agnostic LLM, a Filter DSL that blocks LLM-driven SQL injection, and idempotent webhooks. Deployed.

    Python

  5. Rocky-Trading-Bot Rocky-Trading-Bot Public

    Autonomous AI swing-trading agent for NSE/BSE — Gemini-orchestrated macro research + vision chart analysis, a 9+1 execution gate, and walk-forward overfit detection. Runs on GitHub Actions at zero …

    Python

  6. Self-Pruning-Neural-Network-Dynamic-Sparsification-PyTorch-FastAPI Self-Pruning-Neural-Network-Dynamic-Sparsification-PyTorch-FastAPI Public

    Dynamic neural-network sparsification in PyTorch (sigmoid gating + L1), served via FastAPI + Docker. Includes the hard-mask fix for the soft-pruning illusion.

    Python