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MarsManvith/README.md

Hi there, I'm Manvith! 👋

I am a Honors Computer Science student at the University of Washington (Expected June 2028) focused on building software that interfaces with the physical world—from autonomous robotics to large-scale astrophysical data pipelines.

✨ "Aspire to Inspire" — Bridging the gap between complex data, real-world application, and high-stakes performance.

🛠️ Technical Toolkit

  • Languages: Java, Python, C++, C, JavaScript/TypeScript, SQL (Postgres), HTML/CSS, R, Go, Rust, Matlab, Swift, Assembly.
  • AI & Data Science: PyTorch, Scikit-learn, Pandas, NumPy, OpenCV, Titan Embeddings, Matplotlib, Seaborn, CatBoost, LangChain.
  • Cloud & DevOps: AWS (Bedrock, Lambda, DynamoDB, S3, OpenSearch), Docker, Kubernetes, Linux, Git, GitLab CI/CD Apache Spark, Apache Kafka, gRPC, GraphQL, Socket.io.
  • Databases: PostresSQL, Redis, DyanmoDB, OpenSearch, Pinecone
  • Frameworks & Tools: React, Angular, Next.js, Node.js, Express.js, FastAPI, Spring Boot.

🚀 What I’m Working On

  • 🧠 AI/ML & Computer Vision: Architected ML pipelines for the UW Gravitational Wave Astronomy Group to map Milky Way gas structures, improving pulsar distance accuracy by 20%. I also deployed SAM 2 for autonomous underwater navigation, boosting detection in murky environments.
  • 🤖 Robotics & Systems: Specialized in low-level software-hardware interfaces, including implementing C++ star-identification algorithms for the Husky Satellite Lab. I also engineered PID-controlled stability systems for award-winning underwater ROVs.
  • ☁️ Scalable Engineering: Developed Seekr, a serverless web app using AWS Bedrock and Titan Embeddings to automate research discovery for 300+ students.

🌟 Beyond the Code

  • 👥 Mentor: Guided 20 students in ML RFI classification via a 1,000+ sample pipeline.
  • 🏆 Innovator: 2025 MATE ROV Sharkpedo Innovation Award winner and 4th place internationally at DubsTech HealthML Hackathon.

🎯 Current Goals

I am currently seeking Software Engineering, AI/ML, or Robotics internships where I can apply my experience in deep learning and systems programming to build impactful, scalable technology.

Pinned Loading

  1. Machine-Learning-Project-If Machine-Learning-Project-If Public

    This is the code to the plant length project where we use machine learning to find the length of the plant in the vertical farm to determine which solutions make the plants grow the best.

    Python

  2. Quanta Quanta Public

    Forked from sailalithkanumuri8/Quanta

    This is the app me and my team developed for the Future Business Leaders of America Mobile Application Development Contest. We built an app tailored for high school students so they can find opport…

    Swift

  3. DubsTech-Health-ML-2025 DubsTech-Health-ML-2025 Public

    Forked from akshithsaravanan/DubsTech-Health-ML-2025

    Machine Learning project predicting hospital discharge costs using NY SPARCS dataset (2009–2024)

    Jupyter Notebook

  4. Seekr Seekr Public

    Forked from AdiKum26/Seekr

    TypeScript

  5. AtmosModel AtmosModel Public

    King County NO2 Prediction Model

    Jupyter Notebook