model: Arvinder-Singh-Dhoul-v2.0•role: AI Engineer & Agentic Systems Builder•mode: vibecoding=ON // ship_it=true
- 🎓 B.Tech CSE (CSBS) @ GGITS (CGPA: 8.24)
- 🤖 AI Engineer Intern @ Compucom
- 🐍 Ex-Python Developer @ PageUp Soft
- 🏆 GATE 2025 Qualified (CS & IT)
- 🧩 200+ LeetCode problems solved
I design and deploy end-to-end intelligent systems – from raw data to production AI agents.
My playground is where LLMs, agents, and full‑stack engineering fuse into real products.
Specializations (a.k.a. active modules):
- 🧠 Multi-Agent Orchestration (LangGraph, LangChain, tool-calling workflows)
- 📚 RAG pipelines with structured, typed outputs
- 👁️ Deep Learning & Computer Vision
- 🚀 MLOps, deployment, observability, and monitoring
- 🧪 Experimentation-heavy, business-focused AI engineering
- LangGraph · LangChain
- Multi-Agent Orchestration
- RAG Pipelines & Retrieval Design
- Prompt Engineering & Guardrails
- Pydantic-Typed Workflows
- Tool Calling & Function Agents
- PyTorch · TensorFlow · Scikit-Learn
- NLP · Computer Vision
- XGBoost & Classic ML
- EDA · Feature Engineering · Model Evaluation
- Python · AsyncIO
- FastAPI · Flask · REST APIs
- Docker · CI-friendly workflows
- PostgreSQL · MongoDB
- Streamlit · Data Apps
- Git · GitHub · AWS Concepts
Where ML backends meet modern web.
-
⚛️ React Ecosystem
- React • Next.js (App Router)
- Component-driven UI • API routes
-
🌐 MERN Stack
- MongoDB • Express.js • React • Node.js
- REST APIs • JWT auth • modular services
-
🧱 Integration Mindset
- Hooking LLM/ML services into real products
- Clean separation of concerns between AI core and UX shell
No long stories — just systems on display.
| ⚙ Repo | 🛰 Brief Signal | 🧪 Stack |
|---|---|---|
agentic-hiring-assistant |
Autonomous recruitment assistant with multi-stage AI screening | LangChain · Streamlit · MongoDB |
kasparro-ai-agentic-content-generation-system-arvinder-dhoul_v-2 |
Multi-agent content generator with structured workflows | LangGraph · Gemini · AsyncIO · Pydantic |
Customer-Retention-Churn-Risk-Dashboard |
Churn prediction + business ROI dashboard | XGBoost · Data Apps · Streamlit |
Student-Exam-Performance-Predictor |
Production-style ML pipeline for student performance | MLOps · Flask · Modular ML |
-
📄 Performance Evaluation of YOLOv8, MobileNet-SSD, and MTCNN
→ IEEE Publication (Face Detection for Smart Attendance) -
📘 Generative AI-Powered COBOTs
→ SCOPUS Indexed Book Chapter
→ Human-Centric AI Collaboration
- ✅ GATE 2025 Qualified (CS & IT)
- 🥈 Finalist – Smart India Hackathon 2023
- 🥈 Finalist – Solve to Evolve (IIT Madras)
- 🥇 Winner – Oracle Low-Code Contest
- 📜 NPTEL Elite – DBMS & Ethical Hacking
- ☁ AWS APAC Solutions Architecture (Forage)
- 💻 200+ LeetCode Problems Solved
- Advanced Multi-Agent Systems & Coordinator Architectures
- LLM Alignment, structured outputs, and reliability
- MLOps pipelines for GenAI in production
- Real-time AI product deployment & observability
- Research in Agentic AI & Computer Vision
- 🎧 lo-fi while coding in dark mode
- 📸 Capturing tech events & cityscapes
- 🌏 Travel lover
- 🍳 Self-taught cook — Italian & Thai experiments are in production
📧 Email: asdhoul004@gmail.com
🔗 LinkedIn: https://linkedin.com/in/arvinder004
💻 GitHub: https://github.com/arvinder004
"Don’t just learn AI. Build AI that works in the real world."
I value:
- Structured thinking
- Clean, production-ready engineering
- Measurable impact
- Relentless iteration & learning
⭐ If this cyberpunk lab resonates with you, feel free to connect, collaborate, or spin up a new repo together.