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codewithsam110g/README.md

Hi, I'm Samba Siva Rao Kovvuru

Alias: cws.dev / codewithsam110g

Machine Learning Researcher @ IISc (TANUH/CBR) | B.Tech ECE @ RGUKT Systems Engineer | Edge AI Architect | Open Source Maintainer

Bridging the gap between low-level hardware constraints and high-performance inference.


About Me

Curious systems engineer who thrives on solving real-world architectural challenges. My work spans from writing custom Linux kernels to deploying lightweight credal networks on-edge. I focus heavily on memory management, system reliability, and making sure infra doesn’t fall apart.

  • Currently engaged in a long-term ML Research Appointment at IISc, modeling neurodegenerative diseases and deploying pipelines via ONNX/NNAPI.
  • Obsessed with designing systems around direct memory management, EDA, HA, and K8s-first principles.
  • Not a deploy monkey—I architect for observability, reliability, and sheer performance.

Contact Me


Current Focus & Engineering

  • Edge AI & Research: Engineering self-calibrating evidential-credal networks for medical imaging (manuscript submitted to IEEE TMI).
  • rusty86: Building a hyper-performance, binary-compatible 8086 CPU emulator and parser written in Rust.
  • dart_bindgen: Engineered a TypeScript-to-Dart transpiler from scratch to replace legacy tooling.
  • SpectreOS: Built a custom Linux OS from scratch, handling custom kernel compilation and driver troubleshooting.
  • Open Source: Active maintainer of Uber's H3 bindings for Dart (h3_flutter_plus), officially recognized by upstream docs.

Tech Domains I Play In

Low-Level & Systems

  • Rust (Tokio, parsers, emulators), C/C++
  • Linux internals, custom kernel compilation, Arch Linux + Hyprland native
  • Terminal-native mindset: Bash, SSH, Make/CMake

Machine Learning & Edge AI

  • PyTorch, MONAI, Evidential-Credal Networks
  • Edge Deployment: ONNX, NNAPI (Snapdragon hardware acceleration), Sensor Fusion

Cloud, DevOps, & Infra

  • Kubernetes (CKA in progress), AWS (SAA in progress), Docker, Helm
  • NGINX (custom ingress), Redis, Kafka
  • Hosting & DNS: VPS setups, bypassing standard load balancers

Backend Architecture

  • Go: chi, REST APIs, Docker-first dev
  • Python: FastAPI, Django, async/multi-thread
  • Strict adherence to Domain-Driven Design (DDD) and microservices

Database & Cross-Platform

  • PostgreSQL, MongoDB, SQLite
  • Dart/Flutter (mobile + web), modern FFI bindings

Philosophy

Docs-first. Systems-first. Hype-last. RTFM is religion. Design before deploy.


GitHub Stats

GitHub Stats

Top Langs


Frameworks & Tech

Go Rust C++ Linux PyTorch Flutter Python Kubernetes PostgreSQL Docker

Pinned Loading

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    Dartify is a modern TypeScript-to-Dart transpiler that parses .d.ts files using ts-morph, replacing legacy hacks and unstable compiler APIs with clean, maintainable AST transformations.

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    Modular Dart and Flutter bindings for Uber's H3 v4 library, featuring a shared abstract interface with FFI and JS interop implementations for cross-platform support.

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