# Rishabh Prasad > SWE @ Asana | Prev CS @ Texas A&M Location: San Francisco, California, United States Profile: https://flows.cv/rishabhprasad Hey! I'm Rishabh Prasad and I'm currently a Software Engineer at Asana in San Francisco, CA! As a Product Engineer, I develop back-end and front-end systems to deliver high-performant features for the Asana web app, including Team Sharing on Portfolios and updated Project Limits. I graduated from Texas A&M with a B.S. in Computer Science and Minors in Statistics and Spanish. I want to bring a unique perspective to software engineering, using software development, ML, and data analytics. Actively searching for Full-Time Engineering roles in Software Development, Data Science, and Machine Learning. ## Work Experience ### Software Engineer @ Asana Jan 2024 – Present | San Francisco, CA Product Engineer, Centralized Permissions and Roles. Building Role-Based Access Control (RBAC). ### SWE Intern @ Asana Jan 2023 – Jan 2023 | San Francisco, California, United States Product Engineer, Workflow Expansion ### SDE Intern @ Amazon Web Services (AWS) Jan 2023 – Jan 2023 | Seattle, Washington, United States EC2 VMC ### Software Engineering and Program Management Intern @ Dell Technologies Jan 2022 – Jan 2022 • Implemented Django interface that visualizes IO workload profiles and heat maps for 15 industries • Aggregated time-series skew data to compare 275M system IOs and prioritize industries by activity • Designed API Sniffer with Selenium to track metadata of 45+ network traffic requests and optimize QA tests • Executed ideation, development, validation, and release of change management tool in phase-gate cycle • Automated change requests to centralize data in Jira and standardize process across 7 ISG lines of business • Created 115 Jira projects and JQL dashboards to enable workflow analytics for 600+ core team members ### Jane Street SEE Extern @ Jane Street Jan 2022 – Jan 2022 | New York, New York, United States • Selected as one of 25 students for a week-long crash course about a wide variety of Infrastructure subgroups, including program management, operations, and financial strategy, to learn how we solve cross-departmental problems using computer science, trading, and logistics ### Academic Tutor @ Unknown Jan 2020 – Jan 2022 | San Antonio, Texas, United States • Deconstruct and simplify Algebra, Spanish, English, Calculus, and History in over 50 virtual sessions to support students in San Antonio hampered by school shutdowns, virtual learning, and anxiety with in-person tutoring • Hosted Panel and Q&A Session to give advice about study strategies, course scheduling, standardized testing, and college admissions to 25+ high school students and parents ### Information Security Intern @ State Farm ® Jan 2021 – Jan 2021 | Richardson, Texas, United States • Develop Python API structure for Rule Organizer, which parses through 550+ rules in SIEM database for desired name and log type, returning desired outputs like name, notes, and timestamp in order to optimize threat detection and formulate incident response • Design Python class structure of logs used to record threat data in Threat Modelling Tool to give real-time updates on threats and aid executives in assessing new zero-days • Participate in coding competitions like HackDay to learn about process control software (Git) and in internship presentations to build speaking and leadership skills ### Desktop Technician @ The Reynolds and Reynolds Company Jan 2020 – Jan 2021 | College Station, Texas, United States • Interacted with proprietary hardware (computers, laptops, printers, mobile devices) and specialized software (databases, computer performance, image and document readers) to maintain equipment for 500+ associates • Utilized problem-solving and past documentation to diagnose and troubleshoot 30+ technical issues per week ### Data Analyst Intern @ CPS Energy Jan 2019 – Jan 2019 | San Antonio, Texas Metropolitan Area • Collaborated on quality-control algorithm with Python Pandas that estimates solar generation in over 250 residential homes without smart meters to provide 7% more training data to load forecasting team • Optimized 4 different selection processes of Demand Response (DR) baselines using Excel Pivot Tables and company regression software to decrease workload during load events in which clients needed to curb usage • Attended department and board meetings hosted by senior advisors and invited by CEO and COO to executive meeting about future of sustainable energy ## Education ### Bachelor of Science - BS in Computer Science Texas A&M University ### Valedictorian in Distinguished High School Diploma Ronald Reagan High School ## Contact & Social - LinkedIn: https://linkedin.com/in/rishabh-v-prasad - Website: https://github.com/rishuprasad --- Source: https://flows.cv/rishabhprasad JSON Resume: https://flows.cv/rishabhprasad/resume.json Last updated: 2026-04-05