Ajith Kumar Ganesan Govindasamy Email & Phone Number

Washington, Dc, Us

Reston, Virginia, United States

United States

At Exponent, I specialize in conducting technical interviews across multiple domains, including LeetCode-style coding challenges, machine learning system design, ML theoretical concepts, and SQL proficiency tests.

Manassas, Virginia, United States

Ventech Solutions operates and maintains the Health Care Quality Information Systems (HCQIS) for the Centers for Medicare and Medicaid Services (CMS), Center for Clinical Standards and Quality (CCSQ) through the HCQIS Infrastructure and Data Center Support (HIDS) contract.As a Machine learning engineer, I was responsible for developing and implementing solutions for anomaly detection and forecasting of key performance indicators (KPIs) for 30+ services like syslog, clamav, and zscaler. My role involved leveraging machine learning algorithms and statistical models to analyze large amounts of data and detect anomalies in real-time, as well as predicting future trends and patterns in service KPIs.These insights helped the company to identify and resolve potential issues before they impacted customers, leading to improved service quality and customer satisfaction.

Chantilly, Virginia, United States

As a Machine Learning Engineer at Amplio.ai, I developed content-based recommender systems for recommending interventions to users based on their recovery, nutrition, and cognitive factors. These systems analyzed user data to identify patterns and make personalized recommendations, helping users achieve their health and wellness goals. My work contributed to the development of effective and personalized intervention strategies for individuals, ultimately improving their overall health and well-being.

Chantilly, Virginia, United States

As a computer vision engineer at Amplio.ai, I developed a video pipeline to evaluate the flexibility of baseball athletes (CAA) by analyzing their movements in a series of exercises. To achieve this, I utilized advanced pose estimation models that were capable of accurately tracking the athletes' movements and determining their range of motion. This pipeline allowed for a detailed assessment of each athlete's flexibility and identified areas where improvement could be made to enhance their performance. Overall, my work has helped Amplio.ai provide valuable insights to baseball coaches and athletes, allowing them to optimize their training regimens and achieve better results on the field.

Milwaukee, Wisconsin, United States

As a Data Scientist at Vasognosis, I developed an image classifier model to detect Intracranial Brain Aneurysms in 3D MRI images. This involved designing and training deep neural network models to accurately identify and classify the presence of aneurysms in medical images. Additionally, I worked on developing skull stripping models, which involve removing the skull from medical images to better isolate and visualize brain structures. These models were designed to improve the accuracy and efficiency of medical image analysis, ultimately helping to improve patient outcomes and diagnostic capabilities.

Livermore, Ca

As an AI software development intern at Topcon Positioning Systems, I worked on developing computer vision models to identify dirt piles in a construction environment. The models I created used weakly supervised localization methods, which allowed them to accurately detect the location of dirt piles using limited labeled data. By using these models, construction teams can more easily monitor and manage the placement of dirt piles on job sites, improving efficiency and reducing the risk of accidents or errors. Overall, my work contributed to the development of cutting-edge technology for the construction industry.

Masters, Mechatronics, Robotics, And Automation Engineering, Gpa : 3.89 / 4.0

Bachelor Of Technology, Mechanical Engineering, Cgpa : 9.29/10

Activities and Societies: TAP group