Engineer
Designing reliable software with a strong systems mindset.
Hey, I’m Rohan!
I build things on the internet. Sometimes it’s clean, scalable software. Sometimes it’s ambitious side projects at 2am.
I have a background in Computer Science and teaching, but a builder at heart. I care about elegant code, thoughtful design, and solving problems that actually matter. Scroll down. I promise it gets interesting.
Computer Science Graduate from The University of Minnesota – Twin Cities with experience in engineering, analytics, and product leadership.
Identity
Product Thinker
Balancing technical tradeoffs with clear user and business value.
Builder
Shipping practical, maintainable solutions from concept to delivery.
About
I’m a Computer Science student at the University of Minnesota, Twin Cities, graduating in Dec 2025. I enjoy working at the intersection of software engineering, data, and product execution. On campus and beyond, I’ve been involved in ACM, Chess, Game Dev, Lettuce Club, Run Club, Badminton, SASE, CodePath, NSBE, and SHPE. These communities shaped how I lead, collaborate, and mentor others. My approach emphasizes systems thinking, teaching, and ownership. I aim to build resilient systems, communicate clearly, and help teams move from ambiguity to outcomes.
200+
Students Taught
200,000+
Records Processed
35,000+
Potential Users Impacted
67.5%
ML accuracy
Experience
As Project Manager for a large-scale aviation engineering initiative sponsored by Air Care Alliance, I directed a multi-stakeholder competition serving over 200 participants. I oversaw the full project lifecycle, including scheduling, budgeting, vendor coordination, marketing execution, and risk mitigation. Working cross-functionally, I integrated team deliverables into a unified event strategy that ensured operational alignment and seamless execution. Following the event, I conducted structured post-event analysis and reporting to evaluate measurable outcomes and maintain strategic alignment with stakeholders.
As a Teaching Assistant supporting over 200 students, I led weekly lab sessions focused on Java programming, software design, testing, data structures, and data processing. I developed automated grading tools and refined assessment rubrics to improve grading efficiency and reduce repetitive regrade requests. Beyond instruction, I provided hands-on debugging support during office hours, conducted structured review sessions, and contributed to code reviews that strengthened students’ problem-solving and software engineering skills.
In this role, I helped with assignments and detailed solution sets to clarify expectations and reduce ambiguity in engineering coursework. I delivered weekly written feedback to over 250 students, emphasizing analytical reasoning and systems-based thinking in technical problem solving. By collaborating closely with faculty, I improved grading consistency and turnaround times while maintaining academic rigor and clarity in communication.
As a Data Analyst Intern, I worked with large-scale admissions datasets, standardizing and cleaning over 200,000 student records using Pandas and NumPy, which improved data accuracy by 90%. I designed Power BI dashboards to analyze applicant demographics, admissions funnel metrics, and year-over-year performance trends. Operating within Agile Scrum teams, I presented weekly insights to cross-functional stakeholders, enabling data-informed decisions in admissions strategy and operational planning.
As a Tutor and Teaching Assistant, I supported the lead instructor by grading assignments and providing academic clarification to ensure students understood core concepts across Science, Math, and History courses. I worked closely with small groups of students, delivering targeted tutoring sessions that reinforced classroom instruction and improved comprehension. Through individualized guidance and structured review sessions, I helped students strengthen analytical thinking, problem-solving skills, and overall academic performance.
As a High School Intern at Genesys Works, I conducted data analysis using Excel to generate structured weekly status reports that tracked project progress and performance metrics. Working within Agile Scrum teams, I collaborated with peers to develop research insights and present findings through weekly PowerPoint presentations. This role strengthened my data organization, analytical reasoning, and professional communication skills while providing early exposure to project management and team-based development environments.
As a long-term volunteer at the Bell Museum and its planetarium, I have had the opportunity to engage with visitors by sharing my passion for space exploration and scientific discovery. Through this role, I expanded my knowledge of astronomy, interplanetary travel, and major milestones in space research while attending lectures and events featuring leading scientists. I regularly helped explain complex scientific achievements in an accessible way, fostering curiosity and enthusiasm for science among museum guests of all ages.
Projects
For this project, I developed an end-to-end machine learning pipeline to predict English Premier League match outcomes, achieving 67.5% accuracy. I collected and preprocessed historical match data, engineered rolling-performance features, and implemented data cleaning strategies to improve model reliability. I trained and optimized a Random Forest classifier using cross-validation and hyperparameter tuning to enhance predictive performance. The project combined statistical modeling with practical data engineering to simulate real-world sports analytics workflows.
As both Product Manager and Front-End Developer, I led a team of three in building a full-stack web application integrating the Google Maps API. I defined product requirements, managed timelines, coordinated user testing, and refined features based on usability feedback. On the technical side, I helped implement the front-end interface and backend architecture using Node.js and Express, while integrating MongoDB to manage user data and personalize user experiences based on interaction analytics.
Gopher Walk is a campus mapping application designed to enhance navigation experiences for over 35,000 University of Minnesota students. I contributed to both product design and development, conducting user research through surveys (Google Forms, Qualtrics) and interviews to gather actionable feedback. Working within Agile methodologies, I collaborated with cross-functional teammates to iteratively refine features based on user insights. I leveraged Figma for UI/UX prototyping and Docker to streamline development environments, ensuring design feasibility and technical alignment.