Systems software engineer interested in database internals, ML infrastructure, and performance-critical low-level software.
I work on and explore systems spanning vector/search infrastructure, GPU/CUDA programming, computer architecture, and hardware-aware software design.
I’m particularly interested in software that lives close to execution, memory, and hardware realities.
I’m currently looking for opportunities to learn under and contribute to someone working on systems software internals, low-level infrastructure, or research-oriented systems engineering. I’d be glad to help in any capacity — implementation, experimentation, tooling, performance investigation, or related engineering work.
- Database and query execution systems
- ML infrastructure and vector search
- GPU systems and CUDA
- Low-level performance engineering
- Hardware-software co-design
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TensaraCudaProblems
CUDA problem solving, implementation, and profiling. -
TinyDNN-CUDA
CUDA-based neural network primitives and GPU-oriented performance exploration. -
cudaJourney
Ongoing hands-on exploration of CUDA programming and GPU systems concepts.
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DetectingStopSigns
Computer vision implementation work. -
Extractive_Text_Summarization
NLP summarization project exploring core ideas from first principles.
- OpenAI Codex / Codex agents for iterative implementation, code exploration, and workflow acceleration
- GitHub Copilot Pro
- Claude Haiku via GitHub Copilot
- AI-assisted workflows for prototyping, refactoring, test generation, and documentation refinement
- 🤣🤣🤣 Lately, I’ve also spent a questionable amount of time tinkering with
AGENTS.mdto steer coding agents more effectively — mostly so a week of progress does not get undone by context limits. 😭😭😭
Database Systems · ML Infra · Vector Search · CUDA · GPU Systems · Low-Level Software · Computer Architecture · Hardware-Software Co-Design
I like building systems where performance matters, internals matter, and hardware behavior influences software design.
- Email: spl.acharya@outlook.com