🤖 AI & MLOps Engineer specializing in Agentic AI systems, LLM orchestration, and production ML pipelines.
💡 Passionate about building autonomous multi-agent workflows, scalable cloud architecture, and end-to-end AI solutions.
🌍 Open to remote freelance projects, AI Engineering opportunities, and global technical collaborations.
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🤖 Agentic AI & Modern GenAI |
🧠 Artificial Intelligence & ML Engineering |
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📐 Mathematics & Data Science |
⚙️ MLOps & Infrastructure |
Languages & Frameworks
Data & Databases
Orchestration & DevOps
Data Science & AI/ML Libraries
Agentic AI & GenAI
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👕 Fashion-MNIST CNN Classifier — Custom Convolutional Neural Network built with PyTorch to classify clothing images, featuring batch normalization for improved training stability.
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🗑️ Waste Classification Using Transfer Learning & Fine-Tuning — Image classifier (Organic vs Recyclable) built with VGG16 transfer learning and fine-tuning in TensorFlow/Keras.
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🌧️ Rainfall Prediction — Australia Weather Dataset — Predicts next-day rainfall using a Scikit-learn pipeline with Random Forest and Logistic Regression classifiers, tuned with GridSearchCV.
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✈️ Aircraft Damage Classification & Captioning — Classifies aircraft damage (dent vs crack) using a fine-tuned VGG16 model, with natural-language captions generated via the BLIP vision-language model. -
🎮 League of Legends Match Predictor — Logistic regression model built in PyTorch to predict match outcomes, with L2 regularization, hyperparameter tuning, and feature importance analysis.
- 🎪 Multi-Workflow Presales AI Agent System (n8n + Gemini API) — An end-to-end autonomous presales AI ecosystem built using n8n workflows, Google Gemini API, custom sub-workflows, and Gmail integration.
- 🔧 Coming soon
- 🤖 Master & Deploy autonomous Agentic AI Workflows using LangChain, LangGraph, CrewAI, and n8n
- ⚙️ Build end-to-end MLOps Pipelines — automated CI/CD, model monitoring, continuous training, and observability
- ☁️ Architect scalable AI solutions on AWS Bedrock and orchestrate microservices with Kubernetes (CKAD)
- 🚀 Ship production-grade RAG & Agent Systems with vector databases (pgvector, Redis)
- 🌐 Actively contribute to Open Source AI/ML Infrastructure repositories
- 💼 Scale freelance client network for high-impact Agentic AI & MLOps Engineering projects
- Advanced Diploma in Artificial Intelligence Advancement — Al Nafi International College (1-year)
- Advanced Diploma in DevOps and Cloud — Al Nafi International College (1-year)
| Specialization / Certificate | Issuing Organization |
|---|---|
| Deep Learning Specialization | DeepLearning.AI |
| Generative AI with Large Language Models | DeepLearning.AI & AWS |
| IBM RAG and Agentic AI Professional Certificate | IBM |
| Machine Learning Engineering for Production (MLOps) | DeepLearning.AI |
| AWS Generative AI and AI Agents with Amazon Bedrock | AWS |
| LLM Engineering That Works: Prompting, Tuning, and Retrieval | Coursera |
| Certified Kubernetes Application Developer (CKAD) | KodeKloud |
This profile documents my journey from AI student to AI Engineer.
🔹 Learning Projects · 🔹 AI Experiments · 🔹 Practice Repositories 🔹 Notes & Resources · 🔹 Portfolio Projects · 🔹 Open Source Contributions
