Lawrence Berkeley National Laboratory • Texas Tech University
Building next-generation systems at the intersection of HPC, AI, and Blockchain
| 🎯 Current Focus | AI/ML systems, High-Performance Computing research and devlopment,and secure blockchain applications |
| 🏢 Position | Graduate Research Assistant at Lawrence Berkeley National Laboratory (DOE) |
| 🎓 Education | MS Computer Science, Texas Tech University (GPA: 3.75/4.0) |
| 💼 Experience | 4+ years across enterprise software, telecom, healthcare, and research domains |
| 🌍 Location | Berkeley, California • Open to global opportunities |
May 2024 - Present • Berkeley, CA • *National Energy Research and Scientific Computing *
// Key Achievements
const achievements = {
research: "Presented BilboMD (2024) and LDMS (2025) research posters representing Department of Energy in United States",
performance: "Built and released a Perlmutter performance-profiling Python toolkit that maps Slurm job ID(s) workflows to 150+
per-GPU/per-node metrics (e.g., GPU utilization memory) with interactive dashboards for fast bottleneck diagnosis.",
architecture: "Designed secure microservices-aligned account-management modules",
impact: "Contributing to national-scale high-performance computing infrastructure"
};April 2024 - September 2024 • Lubbock, TX
// Core Contributions
var contributions = new[] {
"CRM development using SignalR, EF Core, jQuery, and SQL Server",
"Real-time WebSocket notifications with comment-enabled review system",
"Healthcare data management and patient portal enhancements"
};October 2021 - August 2023 • Bangalore, India
// Impact Metrics
const impact = {
recognition: "Terralogic Star Performer (2023)",
security: "Cross-application AES encryption solution across 5+ applications",
telecom: "Real-time web app for Fujitsu using Angular, Leaflet.js, Highcharts",
leadership: "Technical ownership and mentoring junior developers"
};January 2020 - October 2021 • Mysore, India
# Performance Highlights
performance = {
"ranking": "3rd among 350 trainees in Microsoft Stream training",
"delivery": "PEAN-stack Job Rotation Portal PoC delivered in 14 days",
"client": "Secured client approval through rapid prototyping",
"training": "Microsoft .NET full-stack certification"
}| 🔬 Research | 🚀 Development | 📚 Learning |
|---|---|---|
| HPC Performance Tools | Blockchain DApps | AI/ML Specialization |
| Privacy-Preserving Systems | Full-Stack Applications | Advanced Certifications |
| Distributed Computing | Canvas Fingerprinting Detection | System Architecture |
| Project | Tech Stack | Description | Impact |
|---|---|---|---|
| Credence Learning Platform |   |
Blockchain-verified education credentials | Innovative learning authentication |
| Veritas Vitae DApp |  |
Self-sovereign identity solution | Privacy-preserving digital ID |
| CanvasShield |  |
Advanced detection tool for canvas fingerprinting | Enhanced web privacy |
| ArticulateAI |  |
Real-time speech-to-notes conversion | 90% accuracy in transcription |
| StockPredictor-NeuralNet |  |
ML-based stock trend prediction | 78% directional accuracy |
| BraTS-PolypSegmentation |  |
Medical imaging segmentation | 85% segmentation accuracy |
| Metric | Achievement | Recognition |
|---|---|---|
| 🏅 Rankings | 5th on TTU GeeksforGeeks Leaderboard | 100+ problems solved |
| 💡 Coding | 200+ LeetCode challenges completed | Algorithm & DS expertise |
| 🏆 Awards | Terralogic Star Performer (2023) | Technical leadership |
| 🎓 Scholarships | Graduate School Competitive + HTL Scholarship | Academic excellence |
| 📊 Training | 3rd rank among 350 trainees | Microsoft Stream certification |
certifications:
national_labs:
- title: "AI for Science on Super Computers (Advanced Badge)"
issuer: "Argonne National Laboratory"
domain: "High-Performance Computing & AI"
cloud_platforms:
- title: "Microsoft Azure Fundamentals (AZ-900)"
issuer: "Microsoft"
domain: "Cloud Computing"
- title: "Amazon AI Practitioner"
issuer: "Amazon Web Services"
domain: "Artificial Intelligence"
academic:
- title: "Academic Excellence Awards (2nd, 3rd ranks)"
issuer: "Maharaja Institute of Technology"
domain: "Computer Science Engineering"| Institution | Degree | Duration | GPA/Rank | Specialization |
|---|---|---|---|---|
| Texas Tech University | Master of Science in Computer Science | 2023 - 2025 | 3.75/4.0 | High-Performance Computing, AI/ML |
| Maharaja Institute of Technology | Bachelor of Engineering in Computer Science | 2015 - 2019 | Honors | Software Engineering, Data Structures |
- BilboMD Research Poster (2024) - Presented at Lawrence Berkeley National Laboratory
- LDMS Research Poster (2025) - Representing U.S. Department of Energy
- Blockchain Conference Attendee - University of Michigan Blockchain Club scholarship recipient
GeeksForGeeks: 100+ problems solved | 5th rank on TTU Leaderboard
🔍 Open to: Full-time opportunities, research collaborations, and innovative projects
🌟 Interests: High-Performance Computing, AI/ML, Blockchain, Full-Stack Development
📍 Location: Berkeley, CA • Open to global remote opportunities
I'd like to express my gratitude to the mentors, professors, parents and the open-source community that have contributed to my growth as a software engineer.
"Building the future, one line of code at a time."
Shreyas Prabhakar • Software Engineer & Researcher
"The best way to predict the future is to invent it." — Alan Kay