Prajwal HD
AI engineer building agent tooling and applied ML. Three years of backend and full-stack engineering at Opslyft. I care more about how a system behaves under pressure than what it's built with.
Now
Updated April 2026
- Looking for AI engineer and backend/full-stack roles with end-to-end ownership. California, remote, or hybrid.
- Building QuackCode, a Linux-first desktop agent, and Gitwise, a CLI that writes commit messages from staged diffs.
- Stress-testing agent workflows on real codebases: tool use, git safety, isolation, and recovery when the model gets it wrong.
- Reading: Designing Data-Intensive Applications (re-read), papers on LLM tool use evaluation.
Featured work
Re-Evaluating Android Malware Detection: Tabular Features, Vision Models, and Ensembles
Hosahalli Dayananda, P.; Chen, Z.
Compares tabular static features, vision-based byte-plot models, and ensemble strategies for Android malware classification. Evaluates where modality choice changes the detection surface and where ensembles actually pay for themselves.
Projects
CLI that turns staged diffs into commit messages and plain English into branch names.
Master's thesis comparing static-feature and visual-bytecode classifiers for malware detection under a controlled evaluation.
Writing
Talks
Data Transfer Cost Optimization
Rootconf 2022Granular visibility into cloud data transfer costs using AWS CUR and VPC flow logs.
View talkSimplifying Kubernetes Cost Visibility
Opslyft 2022Webinar on reducing the complexity of understanding and attributing Kubernetes infrastructure costs.
