About

Gautham Ramajayam is a highly skilled Software Engineer and Machine Learning expert with over 2 years of relevant experience. He is currently a Graduate Teaching Assistant at Stony Brook University, where he is pursuing a Master of Science degree in Computer Science. Gautham's research interests include computer vision and machine learning, and he has worked in various research labs at premier institutions in India. Gautham has a strong technical background, with expertise in several programming languages and software tools, including Python, C++, MATLAB, Splunk, C, HTML, CSS, JavaScript, and SQL. He is also proficient in several frameworks and technologies, such as Node.js, React, Flask, MySQL, PostgreSQL, socket.io, Docker, GCP, Git, and LaTeX. Additionally, he has extensive experience with machine learning tools, including PyTorch, Caffe, TensorFlow, scikit-learn, Hadoop, Spark, and OpenCV. Gautham's most recent work experience includes an internship at Salesforce, where he worked as a Software Engineer in the CSI Data Science Team (Marketing Cloud). During his time at Salesforce, Gautham enhanced anomaly detection for two distinct pipelines by developing a root cause analysis tool to identify significant underlying correlation patterns. He also automated tying back anomalies detected with incidents reported by building a logistic classifier. Prior to his internship, Gautham worked as a Graduate Student Researcher at Stony Brook University, where he worked under Professor Haibin Ling at the Computer Vision Lab on identifying visual privacy threats in multimodal data. Gautham holds a Master of Science degree in Computer Science from Stony Brook University and a Bachelor of Technology degree in Electronics and Communication Engineering with a minor in Computer Science and Engineering from NIT Tiruchirappalli. He is actively seeking full-time opportunities in Software Engineering and Machine Learning and can be contacted at gautham.ramajayam@gmail.com.