Hemanth N | Portfolio

About Me

I am Hemanth N, a Master’s student in Computer Science at the University of Maryland, with prior experience as a Software Developer at SAP Labs India. I hold a Bachelor’s degree in Computer Science from MIT, Anna University, with 9.52 CGPA.

With a strong foundation in competitive programming and hands-on expertise in web development, particularly in React.js, I bring proficiency in C++, Python, and JavaScript. I enjoy solving challenging problems and building scalable, user-focused applications.

At SAP, I was recognized for my ability to manage multiple projects simultaneously, adapt quickly to new technologies, and deliver results with a strong sense of ownership. I thrive both working independently with minimal guidance and collaborating in dynamic team environments.

I am now looking to contribute to the software development industry by applying my technical expertise, problem-solving mindset, and drive to continuously learn and grow. Actively looking for internships.

Education

M.S. in Computer Science

University of Maryland, College Park
Aug 2025 - Present

B.E. in Computer Science and Engineering

Madras Institute of Technology, Anna University
July 2019 - May 2023

CGPA: 9.52/10 — Chairman & Web Team Lead, Computer Society of MIT.

Professional Experience

Developer Associate – SAP Labs India

Jul 2023 – Aug 2025

Contributed to SAP Analytics Cloud Planning and Enterprise Planning Foundation, enhancing the Seamless Planning Feature with Datasphere Space integration for storage and enabling custom widgets in the visualization section.
Partnered with cross-functionally teams to integrate Generative AI into customer issue analysis, improving test scenario coverage and increasing bug detection efficiency by ~20% across our Line of Business.
Optimized Workflows using the SAP AI Suite to accelerate team productivity by automating tasks such as test case document generation, JIRA report building, and creating an in-house ChatSphere assistant. This reduced manual effort by ~25% of the whole team and improved turnaround time for routine tasks, as tracked in sprint planning.
Contributed to end-to-end testing of Business Data Cloud – BW integration, ensuring faster turnaround times as part of the BDC E2E Testing team.

Student Intern – SAP Labs India

Jan 2023 – Jul 2023

Developed automated testing solutions for SAP Analytics Cloud Platform and BW Modeling Tools using an in-house Java-based framework, boosting code coverage by 18% (Advanced DataStore Objects) and 12% (HANA Composite Provider).
Streamlined test automation workflows, reducing manual testing efforts and enabling faster release cycles.

Software Developer Intern – Risposta Pvt. Ltd.

Aug 2021 – Sept 2021

Contributed to the frontend development of the "Enterprise Data Integrator" project using MERN stack. Developed data integration patterns for clients dealing with diverse data sources. Implemented Data Ingestion modules utilizing File and API protocols.
Collaborated with the development team to ensure seamless integration and smooth functionality of the application.

Full Stack Developer Intern – Shinebee Edutech

Jul 2021 – Sept 2021

Implemented modules for file upload and transfer within the website, enabling efficient data management. Integrated a chat option using the Disqus plugin, enhancing user interaction and engagement.
Ensured iPhone and Android compatibility of all implemented modules, providing a seamless experience across different devices.
Successfully integrated online payment functionality using the RazorPay API, enabling secure and convenient transactions.

Skills

Programming

C++, Java, Python, JavaScript, Shell

Frameworks

React, Node.js, jQuery, SCSS, Selenium, OpenCV

Databases & Tools

MySQL, Oracle, MongoDB, Git, Firebase

Other

Postman, Figma, LaTeX

Projects

GCN with Attention for Social Recommendation

- Developed a GCN-based adversarial framework and autoencoder to capture complex user relations, enhancing social recommendation accuracy.

- Performed sentiment analysis using BERT and GCN, and deployed the recommendation system on AWS for real-time user suggestions.

View Project

Health Surveillance using Twitter Data

- Developed an end-to-end system using NLP and ML to monitor disease trends, estimate disease magnitude, and assess mental health from Twitter and CDC data.

- Predicted disease impact and mental health status, enabling healthcare authorities to plan awareness campaigns and improve preventive measures.

Simulating-TCP-Variants-Over-MANET-Routing-Protocols

- Developed and analyzed wireless MANET simulations to assess routing protocols and TCP variants, concluding DSDV achieved lowest End-to-End Delay.

- Introduced Hybrid Reno with RTT-based congestion control, reducing channel contention and improving performance by ~15%.

View Project

Office Staff Information System

- Developed an Office Staff Information System using PHP, MySQL, HTML, CSS, and JavaScript to manage staff, department, and center data efficiently.

- Implemented modules to track staff details, department availability, and revenue from R&D and consultancy projects, providing actionable administrative insights.

View Code

CPU Scheduling Visualization

- Developed an interactive CPU Scheduling Visualization tool using JavaScript and jQuery, simulating FCFS, SJF, Round Robin, and Priority Scheduling algorithms.

- Implemented context switching, time quantum allocation, and priority handling, providing real-time visualization of process execution, CPU bursts, waiting times, and turnaround times.