I'm an AI Engineer focused on Computer Vision, real-time intelligent systems, and physical-world AI.
My work combines visual perception, multi-camera geometry, deep learning, 3D reconstruction, tracking, and intelligent automation to build systems that understand and interact with real environments — not just process data on a screen.
I enjoy working at the intersection of research and engineering: understanding problems from first principles, prototyping solutions, and turning them into working end-to-end systems.
I'm also the Founder of Agentix Labs AI, where I build applied AI systems, intelligent agents, knowledge systems, and automation solutions.
| Domain | Focus | |
|---|---|---|
| 🎯 | Computer Vision | Detection · Tracking · Pose Estimation · Visual Intelligence |
| 📷 | Multi-Camera Systems | Calibration · Synchronization · Multi-View Geometry |
| 🌐 | 3D Vision | Triangulation · Reconstruction · Spatial Understanding |
| ⚙️ | Real-Time AI | Vision Pipelines · Monitoring · Edge Processing |
| 🏭 | Digital Twins | Physical-to-Digital Representation · Simulation |
| 🤖 | AI Systems | LLMs · RAG · AI Agents · Multi-Agent Workflows |
Research interest: building AI systems that can observe the physical world, construct a coherent representation of it, reason over that representation, and turn perception into useful action.
A research-oriented multi-camera computer vision system that reconstructs real human motion in 3D from synchronized camera views.
The system was developed and evaluated using a table-tennis environment as a proof of concept, while the underlying architecture is designed as a domain-agnostic multi-view perception pipeline rather than a sports-specific tracking system.
Multi-Camera Capture
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Camera Calibration
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YOLO Detection
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DeepSORT Tracking
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AlphaPose Estimation
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DLT Triangulation
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3D Reconstruction
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Unity Digital Twin
Engineering highlights
- Built a custom ~24K-image dataset
- Developed a progressive multi-stage training pipeline
- Combined detection, tracking, pose estimation, geometry, and 3D visualization
- Fused observations from independent cameras into one reconstructed physical scene
- Designed the core geometry pipeline to transfer beyond the original table-tennis environment
Core technologies
Python · OpenCV · YOLO · DeepSORT · AlphaPose · DLT · Multi-View Geometry · Unity 3D
Currently exploring an AI assistant capable of understanding software interfaces and providing real-time visual guidance directly on screen.
Instead of only answering with text, the system is intended to understand what the user is seeing and provide grounded visual assistance through contextual overlays.
Voice Command
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Speech Understanding
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Screen / UI Perception
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Visual Reasoning
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Grounded UI Element Detection
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Interactive Overlay Guidance
Research challenges
UI Grounding · Vision-Language Models · Coordinate Mapping · Hallucination Reduction · Real-Time Overlay Rendering
Through Agentix Labs AI, I design and build AI agents, conversational systems, RAG pipelines, and intelligent automation using Python-first architectures.
The focus is on developing reliable AI systems that can reason, retrieve knowledge, use tools, communicate across voice and messaging channels, and execute multi-step workflows.
- Conversational & Calling AI Agents
- AI Receptionists & Booking Systems
- RAG & Knowledge Systems
- Tool-Using AI Agents
- Multi-Agent & Stateful Workflows
- Voice AI & Real-Time Conversational Systems
- WhatsApp & Business Communication Agents
- Custom AI Automation & Integrations
Python · LangGraph · LangChain · LLMs · Tool Calling · Structured Outputs · Stateful Agents
PostgreSQL · Pinecone · ChromaDB · Cohere · Vector Search · Embeddings · Semantic Retrieval
Pipecat · Asterisk · STT · TTS · Real-Time Voice Pipelines
User / Business Channel
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Voice · WhatsApp · Web
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┌─────────────────────────┐
│ AI Agent Layer │
│ Python · LangGraph · LLM│
└────────────┬────────────┘
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┌───────┼────────┐
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Tools RAG State / Memory
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APIs Vector DB PostgreSQL
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Business Actions
PHYSICAL WORLD
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┌───────────────────┐
│ Visual Perception │
└─────────┬─────────┘
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┌──────────┴──────────┐
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Multi-Camera Vision Spatial / 3D AI
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└──────────┬──────────┘
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Scene Understanding
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Intelligent Reasoning
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┌─────────────┴─────────────┐
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Digital Twins Robotics
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└─────────────┬─────────────┘
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PHYSICAL INTELLIGENCE
My long-term research interests include multi-camera intelligence, geometry-based vision, 3D scene understanding, digital twins, real-time perception, and intelligent systems capable of understanding dynamic physical environments.