AI Engineer with 2+ years of experience building production-grade computer vision and deep learning systems. Specialized in real-time AI pipelines, OCR systems, spoof detection, and scalable backend deployments.
I design and deploy end-to-end AI systems that move beyond research into real-world impact.
My work focuses on combining deep learning models with robust backend infrastructure to deliver scalable and reliable AI-powered applications.
✔ Production AI APIs
✔ Real-time Computer Vision Systems
✔ Intelligent OCR & Document Processing
✔ Secure AI-based Identity & Liveliness Detection
✔ Scalable containerized deployments
🧠 Artificial Intelligence & Deep Learning
- CNN Architectures for Vision Tasks
- Model Optimization & Threshold Tuning
- Multi-Stream Neural Networks
- Real-time Inference Systems
👁️ Computer Vision
- Object Detection (YOLO-based systems)
- OCR Pipelines (Tesseract, EasyOCR, DocTR)
- Image Preprocessing & Enhancement
- Spoof & Liveliness Detection
🌐 Backend & APIs
- Flask & FastAPI production services
- REST API design for ML systems
- Asynchronous processing & job queues
- Logging, monitoring & error handling
⚙️ System Design & Deployment
- Docker & Podman containerization
- NGINX reverse proxy configurations
- Multi-instance API deployments
- Redis-based task queues & caching
- On-premise server deployments (Linux/RHEL)
🔹 AutoPlateX — AI Vehicle Number Plate Detection & OCR Platform
A real-time computer vision system for automatic number plate detection and text extraction, designed for traffic monitoring, enforcement automation, and smart transport systems.
🔹 SPoD (Spot the Dupe) — Liveliness & Spoof Detection System
Deep learning–based identity verification platform with facial liveliness checks, motion validation, and advanced anti-spoofing techniques for secure authentication workflows.
🔹 Production OCR API Platform
Scalable multi-engine OCR backend supporting images and PDFs, built for high-volume document digitization and structured data extraction pipelines.
🔹 TransBot — Offline AI Chatbot for Government Transport Services
Retrieval-Augmented Generation (RAG) powered assistant designed for fully offline deployment using local LLMs to deliver accurate transport and vehicle-related information.
🔹 ATS (Automatic Testing System) — AI Vehicle Inspection Platform
AI-driven vehicle testing and compliance analysis system built to automate inspection workflows and improve accuracy in automated testing centers.
Languages
Python • SQL • Bash
AI/ML Frameworks
TensorFlow • PyTorch • OpenCV • Scikit-learn
OCR & Vision Tools
Tesseract • EasyOCR • DocTR • YOLO
Backend & Databases
Flask • FastAPI • PostgreSQL • Redis
DevOps & Infrastructure
Docker • Podman • NGINX • Linux (RHEL/Ubuntu)
- 💼 LinkedIn: https://www.linkedin.com/in/k-rahul-282497230/
- 📧 Email: korkanarahul@gmail.com
🚀 Always open to collaborating on impactful AI and computer vision projects