$ whoami
Rakshak S. Barkur
$ cat interests.txt
-> Systems Programming · C++ · OS Internals · Low-level Dev
-> AIML Undergrad · RAG · Active Inference · Android (Kotlin)
$ cat status.txt
-> Transitioning: high-level ML --> systems & low-level C++
-> Currently learning: Memory Models · Concurrency · Caching · Computer Networks · Distributed Systems · Systems for ML
-> From models to metal, one commit at a time
$ echo $MOTTO
"Started with models...Now I want to build what runs them."- Transitioning into systems programming — OS, compilers, memory, infra
- Diving deep into modern C++ (C++17/20), memory models & concurrency
- Background in AIML — RAG, Active Inference, medical ML
- Built a Faculty App for BMSIT in Kotlin
- Going from high-level abstractions to the metal
Primary (where I'm headed)
Background (where I came from)
Tooling
| Platform | Problems Solved |
|---|---|
| LeetCode | 400+ |
| GeeksForGeeks | 700+ |
| GSSoC '26 | Contributor |
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| Project | Description | Tech. |
|---|---|---|
| Neonatal Sepsis | Early Neonatal sepsis detection using federated learning | PyTorch · Flower · FedAvg · GRU-D |
| RakxRag | Retrieval-Augmented Generation pipeline | Qdrant · LangChain · Mistral · Gemini |
| Folibuddy | Build portfolios from resumes using AI. | FastAPI · Gemini API · JavaScript |
| BMSIT Faculty App | Android app for faculty management. | Kotlin · Android Studio · Firebase |
├── Systems (primary focus)
│ ├── C++ (Proficient - Solved 700+ GeeksForGeeks · 400+ LeeCode · Peak LeetCode Contest rating: 1953)
│ ├── Memory Models & Concurrency
│ ├── Caching & storage systems
│ ├── Computer networks
│ ├── Distributed systems
│ └── Systems for ML
└── ML Roots (background)
├── RAG & LLM pipelines
├── Probabilistic / Active Inference
└── Applied ML (healthcare, NLP)
"Somewhere between the model and the metal."