Prajwal HD
/ ResumeSoftware Engineer · California, USA · AI Engineer / Backend / Full-Stack
AI engineer with a backend and full-stack foundation. Three years shipping production cloud cost infrastructure at Opslyft (including ~$100K/month in recurring savings for enterprise AWS customers), plus peer-reviewed research on Android malware detection at Purdue.
Selected projects and writing: hdprajwal.dev/projects · hdprajwal.dev/blog
Experience
Opslyft
Bangalore, IndiaCloud Engineer
Mar 2022 to Nov 2023Full-time
- Drove ~$100K/month in recurring cost savings across enterprise AWS customers by identifying idle infrastructure, reserved-instance gaps, and data-transfer inefficiencies.
- Built a multi-cloud asset management service that unified resource discovery across customer AWS, GCP, and Azure accounts for cost attribution and governance.
- Partnered with customer engineering teams to redesign cloud architectures for cost and security, shortening their deployment cycles.
Software Development Engineer
Apr 2021 to Mar 2022Full-time
- Reduced SaaS platform page load times by 2x through UI component refactoring and render-path optimization.
- Redesigned backend logic for the instance scheduler to cover edge cases, reaching 99% service uptime in customer environments.
- Architected multi-cloud Data Transfer Visibility, solving a major pain point for teams trying to attribute cross-region and cross-AZ data transfer costs.
Purdue University
Fort Wayne, INTeaching Assistant, Machine Learning
Jan 2025 to Dec 2025Part-time
- Supported an undergraduate Machine Learning course through grading and feedback for ~40 students per semester.
- Automated grading workflows in Python, improving consistency and reducing turnaround time on student evaluations.
Research Assistant
Oct 2024 to Dec 2024Full-time
- Designed and shipped an MVP mobile application and backend in React Native and TypeScript for a faculty research project.
Gradspace
Bangalore, IndiaFull-stack Developer Intern
Sep 2020 to Feb 2021Internship
- Rearchitected backend services on AWS, improving API response times and reducing deploy time.
- Implemented mobile push notifications to improve user engagement on the platform.
- Refactored the mobile codebase with the mobile team, cutting app load time by 60%.
Publications
Re-Evaluating Android Malware Detection: Tabular Features, Vision Models, and Ensembles
2026Peer-reviewed · MDPI Electronics
Compares tabular static features, vision-based byte-plot models, and ensemble strategies for Android malware classification across 1M+ samples. Evaluates where modality choice changes the detection surface and where ensembles actually pay for themselves.
Hosahalli Dayananda, P.; Chen, Z. Electronics 2026, 15, 544.
Read paperSpeaking
Data Transfer Cost Optimization
Rootconf 2022Co-presented an approach to granular visibility into cloud data transfer costs using AWS Cost and Usage Reports and VPC flow logs.
View talkSimplifying the Complexities of Kubernetes Cost Visibility
Opslyft Webinar, Jun 2022Spoke alongside Aayush Kumar (Founder and CEO, Opslyft) on bridging Kubernetes orchestration and underlying cloud infrastructure costs: capacity misconfigurations, siloed visibility, and building a transparency layer for effective cost management.
Education
Purdue University, Fort Wayne, IN
Jan 2024 to Dec 2025Master of Science, Computer Science
Govt. S.K.S.J Technological Institute, Bangalore, India
Aug 2017 to Jul 2021Bachelor of Engineering, Computer Science and Engineering