aaron-seq - Overview

About Me

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"

Technical Arsenal

Professional Journey

AI Engineer (Contract) | Wood Engineering

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%.

Software Engineer | Mannai Corporation (Lanco Engineering)

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.

Software Engineering Intern | Baker Hughes

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.

Featured Repositories

GitHub Analytics

Impact Metrics

Achievements & Recognition

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