MLOps Engineer & Computer Vision specialist focused on NVIDIA AI infrastructure — from model training to production deployment at scale.

5 years building end-to-end ML pipelines for real-time video analytics, backed by 14 years of enterprise infrastructure and database engineering. I care about systems that actually work in production: optimized, reliable, and maintainable.

• Object Detection & Tracking — YOLO family (v3 through v11, YOLO-NAS), custom training pipelines, SAHI for small object detection in high-resolution imagery
• Model Optimization — TensorRT INT8/QAT quantization, ONNX export, latency/accuracy tradeoffs for production constraints
• Video Analytics Infrastructure — NVIDIA DeepStream, GStreamer plugin development (C++/Python), multi-camera pipelines
• MLOps — Model lifecycle management, drift detection, automated monitoring and alerting, CI/CD for ML systems
• Edge & GPU Deployment — NVIDIA Jetson, Triton Inference Server, containerized inference stacks serving 1000+ concurrent requests

Two features I proposed were accepted into the official DeepStream SDK:

• objStatus in Python bindings — added objStatus field to pyds.NvDsAnalyticsObjInfo, merged into DeepStream's internal branch for the next release · thread
• Runtime analytics config reload (DeepStream 8.0) — implemented runtime configuration reload for nvdsanalytics, REST API extensions for nvmultiurisrcbin, and nvds_rest_server integration · thread

Detection     YOLO v3/v4/v5/v6/v7/v8/v9/v10/v11 · YOLO-NAS · RT-DETR · D-FINE
Segmentation  SAM · SAM2 · SegFormer · DeepLab v3+
Transformers  ViT-based detectors · Grounding DINO · CLIP
Other CV      Pose Estimation · OCR / Document AI
Optimization  TensorRT · ONNX · INT8 QAT · CUDA · cuDNN · SAHI (sliced inference)
Serving       NVIDIA Triton Inference Server · DeepStream · GStreamer
MLOps         TAO Toolkit · model monitoring · drift detection · Kubernetes
Languages     Python · C++ · Bash · SQL
Infra         Docker · PostgreSQL · Kafka · FastAPI · Linux (AIX · RHEL · Ubuntu)
Databases     Oracle (RMAN · ASM · RAC) · PostgreSQL
Data          Database design · Schema modeling · Query optimization · PL/SQL

Before AI/ML, I spent 14 years (2006–2020) as a Database Administrator and Infrastructure Specialist across AIX, Linux, and Windows environments — Oracle databases, high-availability clusters, storage, and enterprise ops. That background shapes how I approach production ML systems: reliability and operational discipline aren't afterthoughts.

• LinkedIn: linkedin.com/in/levipereira
• GitHub: @levipereira