Hi, I'm Prajwal

An AI engineer based in California. I build AI agents and the developer tools around them, right now emberd, a runtime that runs untrusted AI-agent code inside isolated microVMs. Before this I spent three years at Opslyft on cloud cost and reliability systems, then a Master's on adversarial ML and Android malware detection. I'm open to full-time AI engineer, backend, and full-stack roles.

Now

Open to AI engineer and backend/full-stack roles with end-to-end ownership. California, remote, or hybrid.

Building emberd, a Firecracker-based sandbox runtime that runs AI-agent code inside isolated microVMs. Also maintaining QuackCode and Gitwise.

Reading: AI Systems Performance Engineering right now, and papers on AI agents.

Projects

All projects
Open FrameMake slides, carousels, thumbnails, and OG images with React and a coding agentopen-frame.dev
BaitBenchMeasures how often an LLM, writing a job application for you, falls for a prompt injection hidden in the job postbaitbench.hdprajwal.dev
emberdRun untrusted AI-agent code in isolated microVMs you host yourself, inside your own networkemberd.hdprajwal.dev
codexpassUse your Codex login anywhere, no separate API key to set upcodexpass.hdprajwal.dev

Stack

Languages
  • Python
  • TypeScript
  • Go
  • JavaScript
AI & ML
  • PyTorch
  • scikit-learn
  • Hugging Face
  • Model Context Protocol
Backend & Data
  • Node.js
  • Bun
  • PostgreSQL
  • SQLite
Cloud & Infra
  • AWS
  • Google Cloud
  • Azure
  • Cloudflare Workers
  • Kubernetes
  • Firecracker
  • Linux
Frontend
  • React
  • React Native
  • Next.js
  • Tailwind CSS
  • Electron
  • Astro
Workflow & AI
  • Claude Code
  • Codex
  • Gemini
  • v0
  • Git
  • GitHub
  • GitHub Actions
  • Docker
  • Vercel
Analytics
  • PostHog

Featured work

Re-Evaluating Android Malware Detection: Tabular Features, Vision Models, and Ensembles

Hosahalli Dayananda, P.; Chen, Z. · Peer-reviewed, Electronics (MDPI), 2026

Compares tabular features, visual byte-plot images, and ensemble strategies for Android malware detection. Evaluates where modality choice changes the detection surface and where ensembles actually pay for themselves.

Read paper

Writing

All posts

Components

All components

Talks

Data Transfer Cost Optimization

Rootconf 2022

Granular visibility into cloud data transfer costs using AWS CUR and VPC flow logs.

View talk

Simplifying Kubernetes Cost Visibility

Opslyft 2022

Webinar on reducing the complexity of understanding and attributing Kubernetes infrastructure costs.

Get in touch

Open to AI engineer and backend/full-stack roles, California, remote, or hybrid. Email is the fastest way to reach me.

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