AI Engineer • MSc AI/ML @ University of Limerick • AWS Certified Solutions Architect • Agentic Systems Builder
model: Arvinder-Singh-Dhoul-v2.6•role: AI Engineer & Systems Architect•mode: production=READY // ship_it=true•base: Limerick, Ireland 🇮🇪
- 🎓 MSc Artificial Intelligence & Machine Learning @ University of Limerick, Ireland (2026 – Present)
- 🎓 B.Tech Computer Science & Business Systems @ GGITS (CGPA: 8.24 · First Division with Honours)
- ☁️ AWS Certified Solutions Architect – Associate (May 2026 – May 2029)
- 🤖 Former AI Engineer Intern @ Compucom CSI Systems (Voice AI pipelines, RAG, WebSockets, Redis)
- 🌐 Freelance Web Developer @ RIU Global (Next.js, scalable software services & MongoDB)
- 🏆 GATE 2025 Qualified (CS & IT)
- 📄 Published IEEE & Scopus Researcher in Computer Vision & GenAI COBOTs
- 🧩 200+ LeetCode algorithmic problems solved
I design and deploy end-to-end intelligent systems — from raw data and high-concurrency cloud backends to production AI agents.
My playground is where LLMs, multi-agent orchestration, resilient cloud architectures, and modern web platforms fuse into real products.
Specializations (a.k.a. active modules):
- 🧠 Multi-Agent Orchestration (LangGraph, LangChain, tool-calling & evaluator workflows)
- 📚 Enterprise RAG pipelines with sub-second retrieval (Qdrant), typed schemas, and zero hallucination
- ☁️ Resilient Cloud & Backend Engineering (AWS, FastAPI, Redis Pub/Sub, WebSockets, Docker)
- 👁️ Deep Learning, Computer Vision & Federated Learning (YOLOv8, FL, model evaluation)
- 🧪 Experimentation-grounded, business-focused AI engineering
- LangGraph · LangChain · Multi-Agent Orchestration
- Advanced RAG Pipelines (re-querying, document previews, chunk-to-source mapping)
- Vector Indexing (Qdrant, Chroma) & Semantic Search
- Prompt Engineering, Guardrails & Evaluation Loops
- Pydantic-Typed Workflows & Tool Calling
- AWS (Certified Solutions Architect – Associate)
- Python · AsyncIO · TypeScript · JavaScript · SQL · C/C++
- FastAPI · Node.js · Express.js · REST APIs
- WebSockets · Redis Pub/Sub · Server-Sent Events (SSE)
- Docker · GitHub Actions CI/CD · Linux · Agile / Scrum
- MongoDB · PostgreSQL · Redis
- PyTorch · TensorFlow · Scikit-Learn · XGBoost
- Computer Vision (YOLOv8, MobileNet-SSD, MTCNN, LBPH)
- Federated Learning (FL) & Privacy-Preserving Systems
- NLP · Model Evaluation & Performance Benchmarking
- React 18 · Next.js (App Router) · Tailwind CSS
- Seamless coupling between AI core backends and high-performance UX shells
No long stories — just systems on display.
| ⚙ System | 🛰 Brief Signal | 🧪 Stack | 🌐 Links |
|---|---|---|---|
AgenticRAG |
Autonomous LangGraph agent evaluating context relevance, sub-second Qdrant retrieval, source passage citations eliminating hallucination | LangGraph · LangChain · Qdrant · Next.js · TypeScript | Demo · Repo |
HireIQ |
Scalable AI platform using Groq/Gemini to dynamically generate & score technical interviews with real-time HR dashboard | FastAPI · Redis Pub/Sub · SSE · React · MongoDB · Docker | Demo · Repo |
Customer Churn Risk Dashboard |
Production ML pipeline on 100k+ customer records with business simulation dashboard for retention ROI | XGBoost · Scikit-Learn · Pandas · Streamlit | Demo · Repo |
Student Exam Predictor |
End-to-end modular ML pipeline with automated data transformation, model tracking, and Flask API | Python · Scikit-Learn · Flask · Modular MLOps | Repo |
Autonomous Content Multi-Agent |
Multi-agent coordination system with structured Pydantic workflows and async execution | LangGraph · Gemini · AsyncIO · Pydantic | Repo |
-
📄 Evaluating YOLOv8, MobileNet-SSD, and MTCNN for Face Detection in Smart Attendance Systems
→ IEEE Xplore Publication (Smart Attendance & Biometrics) -
📘 Generative AI-Powered COBOTs for Human-Centric Collaboration and Co-Evolution
→ Scopus-Indexed Book Chapter (In Publication · Human-Centric AI) -
🔬 Privacy-Preserving Naval Ship Detection and Authorization Using YOLOv8 and Federated Learning
→ In Preparation (Decentralized Edge Defense) -
🔬 A Hybrid YOLOv8-CNN-LBPH Framework for Real-Time Intrusion and Weapon Detection
→ In Preparation (Surveillance & Computer Vision)
🔗 View Research Profile on Google Scholar
- ☁️ AWS Certified Solutions Architect – Associate (May 2026 – May 2029)
- ✅ GATE 2025 Qualified (CS & IT)
- 🥈 Finalist – Smart India Hackathon 2023
- 🥈 Finalist – Solve to Evolve (IIT Madras)
- 🥇 Winner – Oracle Low-Code Contest
- 📜 NPTEL Elite – Database Management Systems & Ethical Hacking
- 💻 200+ LeetCode Algorithmic Problems Solved
- Advanced Multi-Agent Coordination & Evaluator-Optimizer Architectures
- Zero-Hallucination Enterprise RAG with Sub-Second Vector Retrieval
- Event-Driven Cloud Architectures & Real-Time Backends on AWS
- Federated Learning & Privacy-Preserving Computer Vision
- 🎧 Lo-fi beats while building in dark mode
- 📸 Capturing tech events, architecture & street photography
- 🌏 Exploring Ireland & Europe
- 🍳 Self-taught culinary experiments — Italian & Thai recipes in production
- 🌐 Portfolio: arvinder-portfolio-smoky.vercel.app
- 📧 Email: asdhoul004@gmail.com
- 💼 LinkedIn: linkedin.com/in/arvinder004
- 🐙 GitHub: github.com/arvinder004
- 🎓 Google Scholar: Arvinder S Dhoul
- 📍 Location: Limerick, Ireland
"Don’t just learn AI. Build AI that works in the real world."
I value:
- Structured systems thinking
- Resilient, production-ready engineering
- Measurable business impact
- Relentless iteration & continuous delivery
⭐ If this cyberpunk lab resonates with you, feel free to connect, collaborate, or spin up a new repo together.