// INIT_SYSTEM: Who Am I
Systems Thinker.
Building Intelligent Systems End-to-End.
I specialize in designing and deploying AI systems that operate reliably in real-world environments. My work focuses on combining machine learning, LLMs, and scalable infrastructure to create solutions that are not just accurate, but production-ready. I approach problems from a systems perspective—optimizing across data, models, and deployment to deliver measurable impact.
End-to-End Ownership
From Problem → Model → Deployment → Monitoring
Multi-Domain Experience
Computer Vision • LLMs • Automation Systems
Production-Focused
Deployed, Tested, and Iterated in Real Environments
Optimization Mindset
Improving Accuracy, Latency, and System Efficiency
Technical Skills
AI / ML & GenAI
Frameworks & Libraries
LLM & Data Infra
MLOps & Deployment
Cloud, DevOps & Data
Programming
// SYSTEM_MODULES
Featured Deployments
RAG Playground
Built an interactive Retrieval-Augmented Generation playground with visual node execution, OpenRouter model integration, FAISS retrieval, and embedding-space exploration for rapid RAG experimentation.
Smart Factory Edge MLOps
Designed edge-to-cloud ML infrastructure for industrial IoT. Automated model deployment from cloud to edge devices via NVIDIA Triton and TensorRT.
Document-to-JSON LLM Parser
Built an end-to-end LLM processing pipeline wrapping open-source models (Llama 2) into an API that extracts structured JSON data from raw PDFs.
Semiconductor Defect Detection
Implemented high-speed real-time defect anomaly detection using a hybrid CNN approach, achieving state-of-the-art precision in minimal ms/inference.
Engineering Drawing QA
Automated manual QA checks of complex engineering blueprints via fine-tuned TrOCR + YOLO architectures.
Real-Time Pothole Detection
Deployed lightweight models onto Edge TPUs for real-time video stream processing from mobile vehicles.
// EXECUTION_LOG
System Timeline
AI Systems Engineer
HL Mando
Led AI optimization workflows and automated manual quality checks using Computer Vision. Designed multi-cloud pipelines for deploying optimized models globally. Applied Genetic Algorithms and Reinforcement Learning for component optimization.
Security Automation Engineer
BreachLock
Architected security automation pipelines. Developed language models for automated vulnerability reporting, reducing manual report generation time significantly.
AI Intern
ThinkingStack
Built YOLO-based Automatic Number Plate Recognition (ANPR) systems and developed highly scalable edge nodes for real-time processing.