Argo Saakyan — Lead Computer Vision Engineer

Summary

Tech lead and core owner of fraud detection at Veryfi (YC17), built and deployed 13 vision models, each serving production at scale (5 million images per month).
Main author of D-FINE-seg, an open-source object detection and instance segmentation framework with paper + GitHub.
Strong in deployment and edge inference: TensorRT, OpenVINO, ONNX, CoreML, Triton Inference Server, Linux, hardware setup, physical prototyping.
Led ML engineers and coordinated data/annotation workflows.
Inspired by robotics, self-driving, drones, space, agriculture, hardware projects, edge devices.
Speaking at conferences, writing articles about CV/DL, judging international awards.
Hands-on with hardware and prototyping: Linux workstations, microcontrollers, single-board computers, sensors, woodworking, and metalworking.

                        6
                        Years Experience
                    

                        20+
                        Models Shipped
                    

                        5M+
                        Images / Month
                    

                        7+
                        Teams & Clients
                    

Experience

Lead Computer Vision Engineer

Veryfi (YC17) — Silicon Valley

Jun 2023 — Present

Document digitization startup. Tech Lead of Fraud Detection suite.

Built and deployed 13 vision models (classification, detection, segmentation), each processing 5M+ images/month.
Designed custom conv/transformer architectures tailored to task constraints, beating prior models in both F1-score and latency.
Incorporated vision and text models as fraud detection signals; built a decision engine producing final fraud scores.
Achieved 700KB model size (limit: 1.5MB) at 7fps on mobile (target: 5fps) for constrained deployments.
Elevated existing model accuracy from 93% to 99%, F1 of 0.98 on heavily imbalanced production data.
Built optimized inference backends: ONNX, OpenVINO, TensorRT, TFLite.
Designed unified training-evaluating-exporting pipeline; managed data annotation workflows.

PyTorchTensorRTOpenVINOTFLiteONNXDockerLinux

Previously

CV Engineer & Adviser Medical imaging, real-time sports analysis, industrial defect detection

CV Researcher — Diagnocat 3D dental imaging, medical AI deployed across multiple countries

CV Engineer — DisArm Gun detection, real-time video surveillance, edge deployment

DL Engineer — BigDataMSU Infrastructure monitoring, industrial anomaly detection, hardware prototyping

Data Scientist / Analyst Healthcare analytics, insurance, forecasting & automation

Founder — Earthome IoT smart home systems, hardware prototyping, 10+ deployments

Open Source & Projects

Featured

D-FINE-seg

Object Detection & Instance Segmentation Framework

End-to-end framework for training, exporting, and running inference with state-of-the-art object detection and instance segmentation models. Published with an accompanying research paper.

GitHub Paper

PyTorchObject DetectionSegmentationONNXTensorRT

Triton Server Pipeline

Open-source inference pipeline built on NVIDIA Triton Inference Server for scalable, optimized model serving in production environments.

GitHub

TritonTensorRTDockergRPC

PyTorch Training Pipeline

Reusable, modular training pipeline for computer vision tasks — designed for rapid experimentation and clean reproducibility.

GitHub

PyTorchHydraAlbumentationstimm

Hardware & Prototyping

Physical prototypes with microcontrollers, single-board computers, and sensors (lidar, radar, ultrasonic). Linux workstation builds. Woodworking & metalworking.

Nvidia JetsonRaspberry PiArduinoSensorsLinux

Technical Skills

Deep Learning & CV

PyTorch TorchVision timm / HuggingFace OpenCV Albumentations Lightning AI NumPy Scikit-Learn

Optimization & Deployment

TensorRT OpenVINO ONNX CoreML TensorFlow Lite TorchScript Triton Inference Server

Infrastructure & Tools

Linux Docker Git Flask FastAPI Hydra Python

Hardware & Prototyping

Linux Workstations Nvidia Jetson Microcontrollers Single-Board Computers Soldering Lidar / Radar / Ultrasonic Woodworking Metalworking

Domains

Object Detection Instance Segmentation 3D Segmentation Classification Anomaly Detection Medical Imaging Edge Inference

Speaking, Writing & Awards

Conferences

DevDays Europe Voxel51 Warsaw IT Days

Published in

ArXiv TowardsDataScience TowardsAI DevGenius

Awards

CODiE Award Judge Hackathon Judge Digital Breakthrough Winner

Let's Connect

Interested in working together, have a project in mind, or just want to chat about computer vision, robotics, or edge AI? I'd love to hear from you.

LinkedIn [email protected] GitHub