name: Aaron Sequeira
located_in: Qatar 🇶🇦 | India 🇮🇳
current_role: AI Research Engineer (Contract) @ Wood Engineering
education: B.Tech IT, Manipal University (CGPA: 7.93)
company: Wood Engineering | Ex-Mannai Corp | Ex-Baker Hughes
achievements: ["1st Place LearnIT Hackathon", "3rd Place University Hack"]
interests: ["RAG Systems", "Document Intelligence", "MLOps"]
motto: "Transforming complex challenges into elegant solutions"
currently_learning: ["Advanced Agentic AI", "Kubernetes", "Quantum ML"]
fun_fact: "I debug with coffee and deploy with confidence ☕"
github_streak: "Active contributor with consistent daily commits"
favorite_stack: "Python + FastAPI + React + Docker + PostgreSQL"
deployment_platforms: ["Railway", "Vercel", "Render", "Azure"]
open_source: "Contributing to LangChain, OpenHands, Sentry ecosystems"
coding_philosophy: "Clean code, comprehensive docs, test-driven development"Dec 2025 - Present | Doha, Qatar 🇶🇦
- Asset Optimization: Training ML models (TensorFlow/PyTorch/MATLAB) for CML asset life optimization.
- AI Automation: Built custom AI bots to extract relevant data, cutting processing time by 97%.
- RAG Implementation: Delivered a RAG-based internal document search system (LangChain/LlamaIndex + Qdrant), reducing retrieval time by 65%.
Oct 2025 - Dec 2025 | Doha, Qatar 🇶🇦
- Security AI: Integrated AI monitoring for Border Information System across 1100+ AXIS cameras via Milestone VMS & Ipsotek.
- Computer Vision: Deployed YOLO/TensorFlow models in Docker containers for real-time violation analysis, reducing false alerts by 11%.
- System Impact: Enhanced security operations through automated object detection and scalable containerized deployment.
Sep 2024 - Sep 2025 | Pune, India 🇮🇳
- Process Automation: Architected Technical Service Portal using Microsoft Power Platform, reducing service downtime by 70% and accelerating compliance by 40%.
- Document Intelligence: Engineered an end-to-end LLM-powered RAG system (Python/React/Azure AI), cutting manual data entry by 75%.
- CI/CD: Deployed solutions via robust CI/CD pipelines on Azure, ensuring 99.9% uptime.
| Repository | Description | Tech Stack | Stars |
|---|---|---|---|
| GenAI-Browser-Tool | Award-winning browser automation with GenAI | JavaScript, RAG | |
| AI-ML-Traffic-System | Intelligent traffic management with IoT | Python, Computer Vision | |
| LLM-Document-Intelligence | Enterprise document processing with Azure AI | Python, React, Azure | |
| NexusHome-IoT | Smart home energy management | C#, .NET, IoT | |
| Roneira-AI-HIFI | AI-driven stock predictions | HTML, Python, ML |
97% Time Saved (AI Bots) |
75% Manual Entry Reduction |
65% Faster Retrieval (RAG) |
70% Downtime Reduced |
40% Faster Compliance |
11% False Alerts Cut |
90.6% Class 12 Score |
7.93 B.Tech CGPA |
| Achievement | Event | Category | Year |
|---|---|---|---|
| 🥇 1st Place | LearnIT Hackathon | Gen-AI Browser Tool | 2024 |
| 🥉 3rd Place | University Hackathon 8.0 | AI Traffic Management | 2023 |
| Best Prototype | ACM Mini Hacks 2.0 | Smart Home Energy (C#/.NET) | 2023 |
| 👨💼 Leadership | GDSC & ACM Lead | Technical Operations | 2022-2024 |
| 🎓 Merit Scholarship | SPDC (Qatar Govt & Indian Embassy) | Academic Excellence | 2021-2025 |
If you find my work helpful, consider:
- Starring my repositories
- Forking and contributing
- Sharing with your network
- roviding feedback

















