Hi, I'm Sidhant Rohatgi

I'm a |

Passionate about technology, research, and innovative product management while balancing academic and professional pursuits.

Sidhant Rohatgi

LinkedIn: linkedin.com/in/sidhantrohatgi

GitHub: github.com/sidhantrohatgi

Phone: +1 (619)-820-7207

Email: srohatgi@ucsd.edu

About Me

Get to Know Me

About Me

I am a third-year Mathematics-Computer Science major at the University of California, San Diego, with a strong passion for leveraging technology to address real-world challenges. I am currently seeking internships and research opportunities in the field of Computer Science to further develop my skills and contribute to impactful projects.

My diverse background spans from leading development teams to conducting cutting-edge research in genomics and AI. I thrive in collaborative environments where I can apply my technical skills and product vision to create innovative solutions to complex problems.

Whether I'm optimizing cloud infrastructure, developing mobile applications, or analyzing genomic data, I bring a detail-oriented and creative approach to every project I undertake.

Education

Academic Background

University of California San Diego

Bachelor of Science in Mathematics-Computer Science

September 2022 – December 2025

Coursework

Academic Courses

A comprehensive list of courses I've completed at UC San Diego, showcasing my academic foundation in Mathematics and Computer Science.

Experience

Professional Journey

My professional journey spans research, product management, and software development across various organizations.

Cyphert Lab, UC San Diego

Bioinformatics Research Assistant

Cyphert Lab, UC San Diego

San Diego, CA
Sep 2024 – Present

Key Responsibilities

  • Implementing bioinformatics pipelines for metagenomics research for sequence analysis and data integration.
  • Using R to create detailed visualizations, facilitating insights into microbial community diversity and composition.
  • Conducting data preprocessing, quality control, and optimization to improve efficiency and data reliability.
  • Collaborating with lab members to refine experimental protocols and data workflows for studies.
Triton Software Engineering

Product Manager & Software Developer

Triton Software Engineering

San Diego, CA
Nov 2022 – Present

Key Responsibilities

  • Progressed to Product Manager in Sep 2024, leading a team of 8 developers in Agile workflows, focusing on enhancing productivity and project timelines.
  • Facilitating client meetings to align product features with market needs and project specifications.
  • Implementing strategic process improvements to reduce delays and ensure on-time project delivery.
  • Developed iOS and web applications using SwiftUI, React, and Redux to streamline data management.
  • Designed and built scalable client/server applications with ExpressJS and MongoDB.
CSE Society, UCSD

Professional Development Chair

CSE Society, UCSD

San Diego, CA
Jan 2023 – Jan 2024

Key Responsibilities

  • Increased student participation by 35% through organizing recruitment fairs and technical workshops.
  • Coordinated events with Google and OpenAI, providing students with industry exposure.
  • Enhanced event reach and engagement by improving marketing strategies and optimizing workshop formats.
Kearney

AI Team Intern

Kearney

Abu Dhabi, UAE
Aug 2024 – Sep 2024

Key Responsibilities

  • Developed linear regression models and conducted market basket analysis to predict sales trends, improving inventory management.
  • Conducted market benchmarking to inform competitive strategies for clients.
  • Collaborated with cross-functional teams to deliver AI-driven solutions aligned with client goals.
  • Optimized ML workflows, enhancing model accuracy and deployment efficiency.
Edwin Solares Bioinformatics and AI Lab, UC San Diego

Undergraduate Researcher

Edwin Solares Bioinformatics and AI Lab, UC San Diego

San Diego, CA
Nov 2023 – December 2024

Key Responsibilities

  • Conducted genomic data analysis, building vector databases for LLM training.
  • Optimized data processing for machine learning tasks, enhancing performance and cost efficiency.
  • Analyzed genomic data using Meryl and Merqury for k-mer generation and quality checks.
Noventiq

Cloud Computing Intern

Noventiq

New Delhi, India
June 2023 – Aug 2023

Key Responsibilities

  • Optimized Microsoft Azure cloud infrastructure according to clients' needs, reducing costs by 10-27%.
  • Solved client issues by identifying inefficiencies and eliminating resource waste, achieving 15-20% savings.
  • Assisted in automating cloud resource management, improving operational efficiency.
Projects

Featured Projects

A selection of my recent projects showcasing my technical skills and problem-solving abilities.

California Council for Interior Design Certification (CCIDC) Web App

Triton Software Engineering

  • Collaborated with a team of 8 developers to create a web application for the nonprofit CCIDC using React, TypeScript, and Redux.
  • Integrated MongoDB for backend storage, improving data handling efficiency by 25%.
  • The app streamlined the application process for interior designers seeking certification in California, resulting in a 30% reduction in processing time for new applications.

Spay.LA Project

Product Manager

  • Leading a cross-functional team to build a user-friendly platform connecting pet owners with accessible, affordable spay/neuter services in the Los Angeles area.
  • By streamlining scheduling, clinic information, and educational resources, the project aims to reduce shelter overpopulation and improve animal welfare in the community.

Alum Mentorship iOS Application

Triton Software Engineering

  • Led the frontend development of an iOS app for connecting high school students seeking mentorship with alumni.
  • Built app using SwiftUI with MVVM architecture, and integrated Firebase for real-time data management.
  • Spearheaded API development using ExpressJS to create seamless data flows.

Sentiment Analysis of Amazon Reviews

Data Science Project

  • Led a data science project analyzing 30,000 Amazon magazine subscription reviews using machine learning models.
  • Successfully implemented logistic regression combined with TF-IDF and Word2Vec features to enhance sentiment classification, achieving an accuracy of 85.83%.