I'm a graduating in May 2026 with MS Computer Science from NC State University (4.0 GPA) focusing on algorithms for large-scale datasets, with 3+ years of software engineering experience at NetApp and Veritas Technologies. I've built production ML pipelines processing 3M+ records for revenue forecasting, developed AI-powered system health platforms achieving 70% enterprise adoption, and won "Best Use of GenAI" at HackNCState 2025 for SightBuddy, an accessibility tool for visually impaired users. My expertise spans the full stack—from algorithmic research and deep learning to distributed systems and cloud infrastructure—with hands-on experience deploying models that drive real business impact. As Events Lead for NC State's graduate student association and an active contributor to the AI/ML community, I bridge technical depth with leadership and a passion for building systems that solve meaningful problems at scale.

Shashank Ajit Walke

I'm a graduating in May 2026 with MS Computer Science from NC State University (4.0 GPA) focusing on algorithms for large-scale datasets, with 3+ years of software engineering experience at NetApp and Veritas Technologies. I've built production ML pipelines processing 3M+ records for revenue forecasting, developed AI-powered system health platforms achieving 70% enterprise adoption, and won "Best Use of GenAI" at HackNCState 2025 for SightBuddy, an accessibility tool for visually impaired users. My expertise spans the full stack—from algorithmic research and deep learning to distributed systems and cloud infrastructure—with hands-on experience deploying models that drive real business impact. As Events Lead for NC State's graduate student association and an active contributor to the AI/ML community, I bridge technical depth with leadership and a passion for building systems that solve meaningful problems at scale.

Available to hire

I’m a graduating in May 2026 with MS Computer Science from NC State University (4.0 GPA) focusing on algorithms for large-scale datasets, with 3+ years of software engineering experience at NetApp and Veritas Technologies. I’ve built production ML pipelines processing 3M+ records for revenue forecasting, developed AI-powered system health platforms achieving 70% enterprise adoption, and won “Best Use of GenAI” at HackNCState 2025 for SightBuddy, an accessibility tool for visually impaired users. My expertise spans the full stack—from algorithmic research and deep learning to distributed systems and cloud infrastructure—with hands-on experience deploying models that drive real business impact. As Events Lead for NC State’s graduate student association and an active contributor to the AI/ML community, I bridge technical depth with leadership and a passion for building systems that solve meaningful problems at scale.

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Experience Level

Expert
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Language

Afar
Advanced
Javanese
Advanced

Work Experience

Master’s Thesis and Research Assistant at North Carolina State University
August 1, 2025 - Present
Thesis focusing on string algorithms and data structures, with emphasis on optimizing query time for large datasets.
AI / ML Intern at NetApp
May 1, 2025 - August 1, 2025
Built production ML pipeline for renewals classification and revenue forecasting using Snowflake and SQL Server. Deployed ensemble models (LightGBM with NetClassifier, XGBoost with early stopping) with hyperparameter tuning, improving F1 score by 8% and performed EDA, feature engineering on 3M records for time series renewal patterns. Finalist in Innovation Challenge for designing a Agentic AI strategy for customer success using predictive analytics.
Software Engineer at Veritas Technologies
April 1, 2023 - July 1, 2024
Led Appliance Cloud Toolkit feature in Python/Machine Learning/Java for NBA OS upgrades with predictive alerts and data-driven recommendations in System Health Insights platform; achieved 70% enterprise customer adoption. Engineered performance optimization via shadow partitioning, reducing upgrade time by 40% (180 to 110 mins). Designed a disaster recovery solution for 20+ high-availability clusters with 99.9% configuration retention.
Associate Software Engineer and Intern at Veritas Technologies
July 1, 2021 - March 1, 2023
Collaborated cross-functionally on 2 releases per quarter to deliver 10% features, code reviews, and 70+ security fixes. Resolved P1 issues, feature bugs, core dumps using sosreport, GDB, and built unit test automation with 95% coverage. Built a distributed RPM packaging system with client-server communication and automated install flow using Make/ Java /Shell scripting; eliminating manual processes while handling 9GB packages for 25+ releases.

Education

Master of Science in Computer Science (Thesis Track) at North Carolina State University
August 1, 2024 - May 1, 2026
Bachelor of Technology in Information Technology at Walchand College of Engineering
July 1, 2017 - May 1, 2021

Qualifications

NVIDIA: Getting started with Deep Learning
January 11, 2030 - January 26, 2026
Pluralsight: Fundamental Cloud Concepts for AWS
January 11, 2030 - January 26, 2026

Industry Experience

Software & Internet, Professional Services, Media & Entertainment