Computer Vision Engineer / Systems Engineer / July, 2025 — October, 2025

Architected the overall system design including hardware/software, sensor integration and real-time computer vision pipeline for an automated Inflation Device Reader. Delivered a working proof-of-concept in just 2 months. Designed and integrated perception systems with minimal-latency processing, memory-efficient pipelines, real-time embedded inference on the NVIDIA Jetson Orin Nano. Object detection (YOLO), segmentation, classification, OCR done through optimized CNNs (ONNX) and filtering using classic computer vision algorithms. Integrated multimodal interfaces including voice-command controls (whisperAI, Efficentnet) to enable hands-free device operation. Developed automation monitoring and fault recovery scripts (watchdog) ensuring robust long-term stability in production settings. Mentored a junior student engineer providing technical guidance on implementation and best practices in hardware and software development via Git and Azure Devops.

Computer Vision Engineer / April, 2023 — December, 2024

Designed and optimized AI algorithms leveraging deep learning and image processing for diagnostic imaging of genomic analysis (segmentation (Unet), classification (Resnet)) improving efficiency and accuracy in karyotype analysis. Developed and deployed production-ready AI models using PyTorch ensuring seamless integration into real-world diagnostic workflows with inference optimization. Delivered POC in 2 months with 90% accuracy and scaled to production with 97% accuracy on onsite data. Maintained production models and data pipelines using Python, PyTorch and multiprocessing. Built distributed preprocessing pipelines for large clinical datasets; introduced CICD best practices via Git and Azure Devops.

Algorithm Engineer / June, 2021 — March, 2023

Reconstructed and optimized 3D volumetric models for cancer treatment simulation using MRI/CT meshes and quaternions aligning with predictive modeling and medical outcomes. Accurate geodesic placement of the electrodes of different sizes and shapes efficiently for simulation to determine electrical dosage. Working with 3D modelling in medical imaging and environments using open-source python libraries (Pyvista, blender). Led internal technical knowledge sessions; presented results across teams to align R&D and product by introducing NERF. Leveraged 3D geometry (quaternions) and scientific computing for high-precision patient-specific outcomes.

Senior Computer Vision Engineer / June, 2017 — June, 2021

Developed multimodal AI-powered diagnostic tools differentiating between COPD and CHF using deep learning (Resnet, Lenet, XGBoost) on Doppler ultrasound and clinical data (multimodal biomedical data) using signal processing. Led real-time model deployment for FDA approval coordinating cross-functional and external teams. Delivered GPU-free optimized inference pipeline with 85% predictive accuracy.

Computer Vision Engineer / September, 2016 — April, 2017

Developed partial SLAM algorithms using SURF-based feature detection for virtual reality using numerical optimization. Worked on creating point clouds using monocular camera from smartphones C++ and ensuring a good texture on it according to lighting by alpha blending UV mapping. No use of open-source libraries (COLMAP, opencv); in-house development and deployment in less than 6 months.

Image Processing Engineer / January, 2015 — September, 2016

Developed real-time algorithms on infrared images of pharmaceutical bottles to determine the quality of sealing in C++ using image processing and researched feasibility of Alexnet. Onsite installation of the system by creating tailored efficient and fast algorithms depending on the heat map of the bottle seal at customers worldwide (Puerto Rico, Slovenia, India) contributed to closing deals totaling over $12M.