Krish Shah

About

Passionate Computer Engineering student at Boston University with a concentration in Machine Learning, graduating in May 2025. Recipient of the College of Engineering FIRST Robotics Scholarship. Experienced in Python, C++, Java, JavaScript, SQL, MATLAB, Rust, and OCaml, with proficiency in libraries and frameworks such as Pytorch, Numpy, Matplotlib, Pandas, Scikit-learn, and Tensorflow. Skilled in technologies including AWS, Azure, Docker, Google Cloud, MongoDB, PostgresDB, Kubernetes, Tableau, Git, and JIRA. I have interned as a Software Engineering Intern at Beacon Platform Inc, where I developed a comprehensive software suite for Asset Management and built a Python web scraper for metal commodity data. As a Data Engineering Intern at Princeton Equity Group, I led the design and implementation of data storage and machine learning applications, enhancing anomaly detection efficiency and reducing computational time. Additionally, I worked as a Software Engineering Intern at Princeton Plasma Physics Laboratory, where I contributed to the Delta framework for big data analysis in fusion energy experiments and implemented GPU-accelerated analysis kernels using CUDA. Eagle Scout and Assistant Scoutmaster in the Boy Scouts of America, demonstrating leadership and commitment to community service.

Experience

• Software Engineer Intern · Beacon Platform2023-05-01

  Worked in both the Solutions Engineering Team and Sales Engineering Team as a Financial Engineer Intern.

• Data Engineering Intern · Princeton Equity Group2022-01-01 – 2022-09-01

  - Built scalable, reliable, high throughput, and low latency data storage and machine learning applications for Forecasting and Risk Management using Python to increase problem detection by an estimated 20%. - Engineered high-performing forecasting applications to assist the Company's acquired businesses in making long-term and short-term financial goals. The companies that used this application exceeded their financial goals by an average of 30% over the last fiscal year.

• Software Engineer and Research Intern · The Zone2021-09-01 – 2022-09-01

  - Deployed new features to The Zone's public-facing website to improve UX for university administrators and improved SEO using Typescript & React. - Designed a dynamic client portal for university administrators that track mental health data from student users and a secure messaging platform to facilitate communication with mental health experts. - Improved and built upon The Zone's mood selection functionality for students, increasing engagement of the daily mood input by 30%.

• Software Engineer Intern · Princeton Plasma Physics Laboratory (PPPL)2021-09-01 – 2022-01-01

  - Successfully contributed to the development of the 'aDaptive nEar reaL-Time Analysis of big fusion data (Delta)' framework, which addresses the challenges of handling and analyzing vast datasets generated during fusion energy experiments. - Implemented GPU-accelerated analysis kernels within the Delta framework, resulting in a significant 35% reduction in the execution time of the analysis workflow compared to serial Python implementations. - Collaborated with the US Department of Energy, National Energy Research Scientific Computing Center, Oak Ridge National Laboratory, National Institute of Fusion Research.

Education

• Boston UniversityBachelor of Science - BS, Computer Engineering
• Northern Burlington County Regional High SchoolHigh School Diploma

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