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Achievement: Pull SharkAchievement: Pair Extraordinaire

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Achievement: Pull SharkAchievement: Pair Extraordinaire

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its-spark-dev/README.md

Exploring how software systems behave beyond the textbook 🌱

Computer Science student at The Ohio State University
Building systems, exploring ideas, and growing as a software engineer.

👋 About me

I’m a CS student interested in how software systems are built, scaled, and used in the real world.

Recently, I’ve been working as an undergraduate researcher in a Driving Simulation Lab, where I design and improve Python-based tooling for research workflows. Through this work, I’ve gained hands-on experience with data processing, testing, and performance trade-offs, but I don’t see myself as limited to any single niche.

I’m still exploring, learning, and expanding:
from backend systems and tooling
to performance, infrastructure, and developer-facing software.

🔍 What I’m exploring

  • 🧱 Software engineering fundamentals (data structures, design, testing)
  • ⚙️ Backend and systems-oriented development
  • 📈 Performance, scalability, and real-world trade-offs
  • 🛠 Tooling that helps people work more effectively
  • 🧪 Research-driven and user-centered engineering

(This list is intentionally open-ended.)

🧩 Selected work

  • OSU Driving Simulation Lab – pydre

    • Python tooling for processing large-scale driving simulation data
    • Contributed features, refactors, and test coverage improvements
    • Focus on correctness, maintainability, and practical performance

  • Parallelism Benchmark (pydre)

    • Explored how threading and multiprocessing behave under different workloads
    • Built reproducible benchmarks and analysis pipelines
    • Learned that performance is about trade-offs, not just “more parallelism”

  • CSV vs Parquet Benchmark

    • Investigated how data format choices impact real Python workflows
    • Compared readability, flexibility, and performance trade-offs
    • Used Polars to ground format decisions in measurement rather than assumptions

(More projects live in individual repositories.)

🌐 Beyond code

Outside of engineering, I care a lot about communication and people.

  • 🎨 Adobe Student Ambassador — leading hands-on workshops
  • 📹 Content creator with 13M+ views, explaining ideas to broad audiences
  • 🌍 Experience working across cultures and disciplines

I believe good software is built by people who can think clearly and communicate well.

🚀 Currently

  • 🎓 CS @ OSU (Class of 2027)
  • 🔍 Exploring Software Engineering Internships (Summer 2026)
  • 🛠 Building, learning, and staying curious

Building in progress

Activity Graph

Thanks for stopping by 🙂

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  1. toollayer-ai toollayer-ai Public

    An OpenAPI-to-tool control plane and reference runtime for safe, provider-neutral LLM orchestration.

    Python 1

  2. oci-capacity-aware-provisioner oci-capacity-aware-provisioner Public

    A safety-first, capacity-aware OCI compute provisioner that handles temporary host-capacity shortages with bounded retries, idempotency, cost guardrails, and duplicate-instance prevention.

    Python 2

  3. pydre-parallelism-benchmark pydre-parallelism-benchmark Public

    A systematic benchmark evaluating threading and multiprocessing strategies in the pydre analytics pipeline, with a focus on workload-dependent performance and practical default execution strategies.

    Python 1

  4. csv-vs-parquet-benchmark csv-vs-parquet-benchmark Public

    A rigorous benchmark comparing CSV and Parquet file performance using Polars in Python. Evaluates file loading speed, memory efficiency, and runtime profiling under cold and warm cache conditions.

    Python 1