Prerana Gowda

Hi, I’m Prerana Gowda

I’m a Computer Science student at UC San Diego with experience in AI algorithms and full-stack development. I love building tools that make complex systems easier to use and more impactful.

View Projects Resume
  • 12+Projects
  • 5Domains
  • 3AI Tools
Python TypeScript Angular Spring Boot

About Me

I’m a CS student at UC San Diego focused on AI‑powered developer tooling & network automation. I value crisp interfaces, dignified error states, and instrumentation that builds trust.

Goal: accelerate intent → safe action loops for operators & engineers.

  • Designed MCP tool layer for network orchestration (reducing manual change risk).
  • Built reinforcement learning experiments with reproducible harness & variance tracking.
  • Created thumbnail & performance pipeline (Sharp) + dark/light adaptive UI system.

Journey

  1. Network Operations Intern @ Equinix

    AI-assisted network operations tooling layered over NSO (RESTCONF) with safety guardrails and observability.

    • Built an MCP server exposing typed NSO RESTCONF tools with Slack UI (AOS Support Bot).
    • Implemented dry-run diff checks, action logging, and typed schemas to reduce change risk.

  2. Gen AI Technical Advisor Intern @ Scale AI

    Advising on GenAI workflows and building small reference tools to improve evaluation and reliability.

    • Set up prompt/eval harnesses and diagnostics to triage model behavior.
    • Created example apps and scripts to accelerate customer experimentation.

  3. Co-lead Instructor @ MIT Lincoln Laboratory

    Co-led a summer program; delivered lectures, designed hands‑on labs, and mentored student project teams.

    • Developed materials on applied Python and introductory ML concepts.
    • Guided teams on project planning, iteration, and demos.

Featured Projects

AOS Support Bot

Full-stack AI assistant with a custom MCP server for Cisco NSO (RESTCONF tools + Slack UI).

PythonAngularAzure OpenAI

NSO Package Display

Typescript UI & RESTCONF endpoints that visualize package metadata and operational status.

TypeScriptREST

RL: Traffic Control

Reward-shaping experiments for autonomous vehicle policies across multi-scenario environments.

PyTorchRL
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Skills

Contact

Have a question, idea, or opportunity? Drop a note and I’ll get back soon.