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...

2024 — NowCadence Design SystemsSoftware Engineer II (R&D)

2024 — Now

San Francisco Bay Area

2022 — 2024University of California, BerkeleyTeaching Assistant - Programming and Data Analytics

2022 — 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

2023 — 2023Cadence Design SystemsSoftware Engineer Intern

2023 — 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.

2023 — 2023Berkeley RISE LabResearch Intern

2023 — 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