Resume

Software Developer

Garuda Labs

Built core backend and frontend features for Grassroots, a social platform connecting users with mission-driven causes.

• Designed and implemented internal CLI tools that streamlined debugging and database lookups, improving developer efficiency.
• Integrated and optimized GraphQL APIs, enabling more responsive frontend performance and supporting dynamic, data-driven interfaces.
• Collaborated closely with frontend teams to deliver robust backend support, accelerating feature delivery and smoothing deployment cycles.
• Resolved high-priority React bugs, strengthening platform stability and enhancing the overall user experience.

Masters of Science

Georgia Institute of Technology

Computer Science

Masters of Science

University of Colorado, Boulder

Computer Science (transferring)

• Data Mining
• Data Structures and Algorithms

Bachelors of Science

Case Western Reserve University

Computer Science, Mathematics

• Machine Learing for Big Data
• Algorithmic Robots
• Computational Intelligence
• Computer Networks

SoloCal

• Built a full-featured scheduling app using modern frameworks like Next.js 15, React 19, and Tailwind CSS v4
• Implemented real-time event creation, availability management, and dynamic booking link generation with Google Calendar sync
• Designed and integrated secure authentication and user management using Clerk and a type-safe database with Drizzle ORM and Neon

SNASH Audio Recorder

• Developed a custom audio recording application used by 25+ researchers.
• Replaced Audacity, integrating metadata encoding to streamline research workflows.
• Implemented API-based cloud storage (BOX) for file uploads, ensuring seamless data access.

Vessel Prediction from AIS Data

• Developed a predictive model for vessel tracking using AIS data, increasing accuracy for missing identities.
• Engineered data pipelines to process geospatial maritime data, ensuring reliable vessel identification.
• Applied hyperparameter tuning and classification algorithms, enhancing vessel tracking reliability.

Email spam classifier

• Designed an ensemble classification system combining six ML models for spam detection.
• Applied RandomizedSearchCV for hyperparameter tuning and SFFS for feature selection, optimizing performance with only 23 key features.
• Enhanced email filtering precision, aligning with real-world spam characteristics and minimizing false positives.

Objektra: Object-Oriented Interpreter

• Engineered a custom interpreter for an object-oriented language, showcasing compiler design expertise.
• Built from scratch, demonstrating skills in language parsing, runtime interpretation, and OOP concepts.