Shiva Mohan
Bothell, US
shivvanandh@gmail.com
+1 7819995571
https://silentstorm2k.github.io
Shiva-Mo
SilentStorm2k

Work Eligibility: Eligible to work in the USA with no restrictions

Experience

Software Developer
June 2024
 — 
Present
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.

Projects

SoloCal
June 2025
 — 
July 2025

Full-stack scheduling application with real-time availability and Google Calendar sync

  • 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
September 2021
 — 
December 2021

A research-grade audio recording tool deployed at the Annual Eclipse Festival to aid data collection for HAM radio enthusiasts.

  • 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
October 2022
 — 
December 2022

A predictive model for vessel tracking that assigns position reports to ships even when their MMSI numbers are unavailable.

  • 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
September 2022
 — 
October 2022

A machine learning-based system that detects and filters spam emails using an ensemble of classification models.

  • 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
January 2021
 — 
May 2021

A custom-built interpreter that executes an object-oriented programming language similar to Java/C.

  • 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.

Education

Georgia Institute of Technology
January 2026
 — 
May 2027
Masters of Science in Computer Science
    University of Colorado, Boulder
    August 2024
     — 
    May 2025
    Masters of Science in Computer Science (transferring) (4.0)
    • Data Mining
    • Data Structures and Algorithms
    Case Western Reserve University
    August 2018
     — 
    December 2022
    Bachelors of Science in Computer Science, Mathematics (3.06)
    • Machine Learing for Big Data
    • Algorithmic Robots
    • Computational Intelligence
    • Computer Networks

    Languages

    English:
    Native Speaker
    Tamil:
    Native Speaker
    Hindi:
    Fluent

    Skills

    Frontend:
    HTML / JSX, SCSS / CSS / Styled Components, Javascript / Typescript, React / Next, Redux / Apollo
    Backend:
    Node, Python, Postgres, Serverless
    DevOps:
    Docker, CI/CD, GitHub Actions
    Databases:
    MongoDB, PostGres, Hasura
    Libraries:
    Numpy, Pandas, SKLearn, Matplotlib, PIL, Imageio