Technical Expertise

Tools and systems I have deployed in production.

Computer Vision

Object Detection Image Segmentation Multi-Object Tracking Multi-Camera ReID OCR / ANPR Anomaly Detection Zero-Shot Detection Video Analytics Feature Extraction Face Recognition Image Classification Image Retrieval
Models
YOLO U-Net DINO SAM D-Fine CRAFT ParSeq Swin-T CLIP
Tracking Algorithms
ByteTrack BoTSort DeepSort HybridSort OC-SORT

Inference Optimization & Deployment

TensorRT Triton Inference Server DeepStream ONNX GStreamer Quantization (INT8/FP16) Model Graph Surgery Knowledge Distillation Transfer Learning

Edge & Real-Time Systems

NVIDIA Jetson Xavier NX Jetson Nano Hailo Accelerators Raspberry Pi RTSP Streaming Multi-stream Processing

ML Systems & Pipelines

Docker CI/CD MLflow DVC Automated Training Pipelines Model Evaluation Pipelines Experiment Tracking Production Debugging

Backend & Infrastructure

FastAPI REST APIs Kafka Redis MongoDB WebSocket / MQTT AWS (exposure)

Vector Search & AI Infrastructure

FAISS ChromaDB Qdrant Similarity Search

Languages

Python SQL

Professional Evolution

01
2020
Embedded Systems
Hardware level integration and basic prototypes.
02
2021
Computer Vision Foundations
Core algorithms, CNNs, and initial custom model training.
03
2022
Traffic Surveillance & Edge AI
Real-world deployment, ANPR pipelines, Jetson optimization.
04
2023–2024
Production Multi-Camera Systems
At-scale ReID, cross-camera tracking, MLOps, 500+ streams.
05
2024–Present
Real-Time Industrial Vision
High-speed inspection, TensorRT/Triton, sub-200ms latency limits.
Currently Exploring

Next-Gen AI Systems

VLMs Prompt Engineering LangChain RAG Pipelines Agentic Systems