Senthil Ramamurthy Email & Phone Number

Atlanta, Ga, Us

Atlanta, Ga, Us

Austell, Georgia, Us

Lead the design, build, and shipment of multiple low-latency (real-time) computer vision algorithms.Deployed computer vision algorithms on the edge, on a custom inference infrastructure built using OpenCV, ROS, and COTS machine-vision library.Analyze new product opportunities to arrive at go or no-go and build/buy decisions.Architected and built a data pipeline to handle upwards of 2000 events/minute, generating real-time operational insights.Hire, onboard, motivate and coach applied CV scientists and engineers.Provide technical guidance, peer review (design and code), and mentorship to the team.

Austell, Georgia, Us

Lead the research and development effort of advanced product-critical computer vision components features such as camera calibration, pose estimation, object recognition and tracking, feedback for motion control across multiple product lines.Onboarded and mentored new hires and interns. Conducted code reviews and managed pull requests

Austell, Georgia, Us

Designed, prototyped, and developed a real-time, low latency, full-stack machine vision module that uses computer vision (manual feature engineering)/ machine learning for part classification.Developed a low-cost, production-ready lighting solution, using a methodology that was inspired by my prior work on correcting non-uniformity in breast CT imaging.Developed multiple real-time, high-frequency (100 fps) algorithms for edge detection and tracking.

Atlanta, Georgia, Us

Developed a computational model to quantify blood flow distributions in patients with surgical repair of a complex heart defect. Developed a novel computer vision algorithm to segment and track the motion of the heart valve and associated cardiac muscle.Investigated right ventricular dysfunction in patients with septic shock and dilated cardiomyopathy.

Atlanta, Ga, Us

Served as Subject Matter Expert for multiple projects in various medical imaging modalities (MR / CT / X-Ray).Deeply involved from inception to implementation of a novel technology to reduce patient misidentification errors in Radiology. Automated quantitative analysis of tumour markers in liver cancer, reducing analysis times from over 24 hrs to mins.

Atlanta, Ga, Us

Implemented (MR Systems Programming) a novel dynamic imaging technique that reduced image acquisition time by up to 100%. Further achieved image acquisition time savings of up to 400% by integrating with existing Parallel Imaging techniques.Developed a real-time GUI that worked in conjunction with the MRI scanner for interactive image acquisition.Developed an MR image reconstruction engine that to support the novel image acquisition strategy. The MR images were reconstructed in near-realtime, allowing for further image acquisition planning with the new image views.

Atlanta, Georgia, Us

Investigated the systolic blood flow pattern using 4-dimensional phase-contrast MRI in patients with Bicuspid Aortic Valves (BAV)Involved in the development and optimization the protocol for MRI data acquisition.

Master Of Science (M.S.), Computer Science And Electrical Engineering

Bachelor Of Engineering (B.E.), Electrical, Electronics And Communications Engineering

Master Of Science - Ms, Electrical And Computer Engineering