Data Science & Software Development Enthusiast

Hrishikesh Prahalad

******.********@*****.*** +1-864-***-**** Greer, SC, USA

Highly motivated and technology-driven computer science student, passionate about innovation and research, seeking to contribute to the field by joining a challenging and dynamic workplace. Education

Clemson University Clemson, SC

Master’s Degree in Computer Science (GPA: 3.95/4.0) Specialization: Data Science, Software Development Aug 2024 – Dec 2025

BMS College of Engineering Bangalore, India

Bachelor of Engineering in Information Science (GPA: 8.8/10.0) Sep 2020 – Jul 2024 Work Experience

SmartBuild Automation Bangalore, India

Software Development Intern Jul 2023 – Jul 2024

• Engineered cross-platform Smart Home applications for iOS and Android (Swift, Flutter, Java), enabling 1,000+ users to connect seamlessly with in-house IoT devices.

• Optimized device communication by integrating real-time REST APIs, reducing command-response latency by 50%.

• Secured user data by implementing JWT-based authentication and AES-256 encryption (javax.crypto), ensuring compliance with security best practices.

• Automated functional and regression testing with Selenium and Appium, improving defect detection by 35% and reducing manual quality assurance effort by 40%.

• Developed an administrator web portal (ReactJS, Angular, Spring) for product tracking and analytics, streamlining operations and boosting supply chain efficiency by 25%.

• Designed and maintained backend systems with SQL (MySQL), to manage data for 10,000+ devices and supporting mission- critical operations across multiple applications.

• Independently led the end-to-end development of a Water Distribution logistics platform for ISKON temple—designing, building, and deploying the system to streamline fleet operations (30+ trucks) and ensure the daily delivery of 30,000 gallons of water to 50+ schools and businesses.

Skills

Software Development: Object Oriented Software Design, SDLC, Software Integration, Software Architecture, Software Pat- terns, Documentation, Automated Testing (Selenium, Appium, JUnit), RESTful APIs, JSON, SCRUM & AGILE, CI/CD, iOS & Android development, Full Stack Web Application Development Cloud & Devops: AWS (IoT Core, Lambda, Timestream, TwinMaker), Docker, Kubernetes, Containers Data Science: Database Design & Management, DBMS (MongoDB, MySQL, NoSQL), Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Internet of Things (IoT), Data Visualization Programming Languages: C, C#, C++, Rust, Java (Spring), Python, JavaScript (Angular, React), TypeScript, Swift, Dart, SQL, Visual Basic, HTML/CSS, R, Matlab, Angular, Ruby Soft Skills: Problem Solving, Critical Thinking, Collaboration, Ownership, Innovation, Leadership, Communication Certifications: SAP ABAP using ECC 6.0

Languages: English (Native), Kannada (Native), Spanish (Basic) Research & Publications

IEEE Publication: Exploring Digital Twins for Plant Growth Monitoring - 2023, 7th International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS)

• Processed and visualized over 50,000 real-time sensor data points (temperature, humidity, soil moisture, and light) through AWS Timestream and Grafana, enabling continuous monitoring and actionable insights for plant growth optimization.

• Developed a machine learning–powered digital twin of plant health, achieving 98% accuracy in replicating real-world conditions over a 6-month monitoring period, and reduced the resources consumed by 50% while maintaining plant health

• Integrated IoT devices with AWS services (IoT Core, Lambda, TimeStream, TwinMaker, Grafana) to improve monitoring efficiency, enable proactive farming decisions, and validate scalability/security within the AWS environment.

• Published and presented research on the digital twin frameworks at an IEEE international conference (CSITSS 2023). Hackathons

24-Hour Code-A-Thon Nov 2022

1st Place — International Level Annual Technical Symposium, Phase Shift 2022 (BMSCE)

• Developed Everclean Home Servicing, a full-stack platform for secure home-service bookings, real-time updates, and payments using NodeJS, Supabase, MySQL, built within 24 hours for BMSCE’s flagship international hackathon. Gridlocked Hackathon Nov 2021

3rd Place — National Level Annual Technical Symposium, Phase Shift 2021 (BMSCE)

• Created Business Lead Scoring, a machine learning pipeline in Python/Jupyter Notebook to identify and prioritize high-value bank leads, designed and deployed under national-level competitive time constraints. Awards

• The President’s Volunteer Service Award, USA (2018, 2019, 2020) – awarded by the President of the United States in recognition of 300+ hours of community service annually.

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