# Mayank S. > Software Engineer | UC Berkeley | Machine Learning & AI Location: San Francisco Bay Area, United States Profile: https://flows.cv/mayanks Hi there! This is Mayank Sethi. I am pursuing a Master's degree in Computer and Information Sciences, with a focus on Software Engineering and Machine Learning, where I apply my dynamic problem-solving approach and profound understanding of machine learning and full-stack web architecture to various projects and courses. My expertise lies at the intersection of Software Engineering and Machine Learning, which I have demonstrated in my previous internships at Cadence Design Systems and Berkeley RISE Lab. At Cadence, I spearheaded the development of a graphical profiling suite, resulting in 80% reduction in debugging time and 50% faster adoption and deployment in 85% of products. I also implemented Test-Driven Development practices, resulting in a 40% reduction in bug occurrences. At RISE Lab, I worked on evaluating Program Synthesis and Code Generation using Deep Reinforcement Learning, developing training data and analyzing the impact of Salesforce's Code generation modules for research purposes. I am proficient in Python, Java, and C++, along with frameworks like PyTorch, LangChain, and Streamlit. I am currently on the lookout for full-time opportunities in software engineering and machine learning for 2024, where I can leverage my unique skill set and contribute to impactful advancements in the field. Let's connect and explore how we can collaborate and create value together. Feel free to reach out at mayank_sethi@berkeley.edu. ## Work Experience ### Software Engineer II (R&D) @ Cadence Design Systems Jan 2024 – Present | San Francisco Bay Area ### Teaching Assistant - Programming and Data Analytics @ University of California, Berkeley Jan 2022 – Jan 2024 Fall 22 - Data Analysis | Spring 23 - Advanced Programming in R | Spring 24 - Data Analysis - Guided students through the intricacies of data analysis, fostering skills in data interpretation, visualization, and statistical techniques. Fall 23 - Programming Languages: C++, Python and Bash Scripting - Assisted students in grasping the fundamentals of C++, Python, and Bash Scripting, emphasizing practical applications and coding proficiency ### Software Engineer Intern @ Cadence Design Systems Jan 2023 – Jan 2023 | Remote Special Mention by CTO received by <5% interns for engineering a revamped debugging framework. - Part of the Virtuosos Routing and Placement Team, contributing to building features for IC development. - Spearheaded the development of a graphical profiling suite, resulting in 80% reduction in debugging time. - Engineered the framework, achieving a remarkable 50% faster adoption and deployment in 85% of products—acknowledged by the CTO. - Implemented Test-Driven Development (TDD) practices, resulting in a 40% reduction in bug occurrences and ensuring precise system functionality. - Facilitated impactful product documentation and demos for over 2000 developers. ### Research Intern @ Berkeley RISE Lab Jan 2023 – Jan 2023 | Berkeley, California, United States - Worked on evaluating Program Synthesis and Code Generation using Deep Reinforcement Learning. - Developed training data derived from APPS dataset (https://github.com/hendrycks/apps) by extracting Coding Questions of varying difficulties from platforms like Codeforces. - Implemented Python scripts to analyze the impact of Salesforce's Code generation modules for research purposes on 10+ perturbation types. Link: https://github.com/salesforce/CodeRL ### Software Engineer Intern @ Berkeley SkyDeck Jan 2023 – Jan 2023 | Remote Working as SWE Intern for one of the leading incubations: Rimble.io building solutions for Esports analytics. ### Member of Technical Staff - ML/AI @ Ola Jan 2021 – Jan 2022 | Bengaluru, Karnataka, India • Worked directly with CPO and ML/AI product teams developing intelligent vehicle maintenance system. • Designed API flows and system architecture collaborating with cross-functional AI teams for fault tracking system. • Owned the development of ML heuristic based battery health module, vehicle life up by 30%, saving 200mn. ### Research Assistant - Machine Learning @ Indraprastha Institute of Information Technology, Delhi Jan 2021 – Jan 2022 | Delhi, India • Worked at TavLab, IIITD, with research focus on Bioinfomatics and computational Biology. ### Data Scientist @ EXL Jan 2019 – Jan 2021 | Gurugram, Haryana, India - Key contributor in high impact Machine Learning solutions in the Data Science and Analytics team. - Engineered a topic modeling pipeline for valuable insights from user journeys. Cost savings of £3.9Mn. - Built dashboards for continuous monitoring of customer dynamics, and co-engineered a sentiment analysis tool for enhanced service. - Authored a comprehensive white paper detailing customer journey tracking using enhanced Data Quality and ML solutions. ## Education ### Master's degree in Computer and Information Sciences, General University of California, Berkeley ### Master's degree in Computer and Information Sciences, General UC Berkeley School of Information ### Bachelor of Engineering - BE in Engineering University of Delhi ### Bachelor of Engineering - BE in Engineering Netaji Subhas Institute of Technology ## Contact & Social - LinkedIn: https://linkedin.com/in/mayanksethi31 - Portfolio: https://mayanksethi31.github.io/ --- Source: https://flows.cv/mayanks JSON Resume: https://flows.cv/mayanks/resume.json Last updated: 2026-03-29