RKRithik Krishna T

CSE (Data Science) · MGIT & IIT Madras · graduating May 2027

Looking for software engineering, Android engineering, backend engineering roles.

I ship complete systems — native Android apps, backends and security tools — with tests that run and numbers checked on real devices.

How I work

I build complete systems rather than demos, and I check them on the devices they actually run on — then I write down what I measured, not what I hoped would happen.

Two ways to read this portfolio

Built for ML roles and for software roles

SDEYou’re on this view

For software engineering roles

Native Android, backends and systems tools, shipped whole — with tests, cross-language parity checks and verification on a real device.

  • 646unit tests passing in a multi-module Android app with SQLCipher and a biometric-gated key hierarchy (Personal Assistant)
  • 154actions and 18 trigger types behind a drag-and-drop flow engine with nested control flow (Cascade)
  • 1e-6agreement between Rust, Kotlin and JavaScript ports of one scheduler, held by golden-vector tests (Whetstone)
  • Kotlin
  • Jetpack Compose
  • Java
  • Python
  • TypeScript
  • Rust
  • SQL
  • FastAPI · SQLAlchemy
  • PostgreSQL · SQLite
  • React · React Native
  • Docker
  • Git · Linux
ML / AI

For ML and AI roles

Model compression, retrieval, on-device inference and production OCR — with the evaluation designed before the result.

  • 113.5×smaller document index at 86.7% of nDCG@5 on the worst-case benchmark; 94.6–103.4% kept at 53–60× on real pages (OptiVision RAG)
  • 90%+OCR extraction accuracy on complex layouts, under 1.5 s after fine-tuning DBNet on 15,000+ documents (HCLTech internship)
  • 1.5Bparameter model run on-device through llama.cpp with grammar-constrained tool calls — and kept off the answer path by design (Personal Assistant)
  • PyTorch
  • TensorFlow / Keras
  • scikit-learn
  • OpenCV
  • PaddleOCR · DBNet
  • ColPali / ColQwen2
  • Qdrant
  • llama.cpp · GGUF
  • Hugging Face
  • NumPy · Pandas
  • nDCG · Recall@k · Kendall τ
Open the ML view

Featured

Software engineering work

  • Aegis Toolkit

    SDE

    Kotlin · Compose · VpnService

    An Android security toolkit that needs no root: packet capture through VpnService (checked against 162 real flows on a phone), a TLS certificate-chain inspector, an APK tracker scanner and a Keystore-backed vault with TOTP.

    35security tools in one rootless app

  • Cascade

    SDE

    Kotlin · Compose

    A drag-and-drop automation builder for Android in the spirit of iOS Shortcuts, with nested If, Repeat, While and Try blocks and no third-party runtime dependencies.

    154actions, 18 trigger types

  • Tessera

    SDEML

    Python · FastAPI · mTLS · Kotlin

    Turns the phone and PCs I already own into one compute pool: each job goes to the best device with a stated reason, over mutually authenticated TLS, and an assistant turns plain-English requests into typed jobs.

    12typed job kinds scheduled across my own devices

  • Meridian

    SDEML

    Kotlin · Compose · Room · SQLCipher

    A private, encrypted Android health app that puts medications, labs, meals and vitals on one timeline; meal photos come back as calorie and macro ranges with honest error bars.

    1,240unit tests passing, none failing

  • Whetstone

    SDE

    Rust · Tauri · Kotlin · Svelte

    A two-app DSA trainer — a Tauri desk app and an offline Android app — whose FSRS scheduler is ported to Rust and Kotlin and matches a JavaScript reference to 1e-6.

    215cards across 43 patterns, plus 78 problems

  • Darkwatch

    SDE

    Python 3.12 · Tor · uv

    Watches ransomware leak sites, breach data and onion pages for a person’s or company’s identifiers over a Tor process it manages, scores every hit and says what to do.

    141tests passing

Every project

All 18 projects

ML fits ML / AI rolesSDE fits software roles

Showing all 18

Tools I reach for

  • Kotlin
  • Jetpack Compose
  • Room
  • VpnService
  • Rust
  • Tauri
  • Svelte
  • React Native
  • Python
  • PyTorch
  • FastAPI
  • PostgreSQL
  • Qdrant
  • Docker
  • llama.cpp
  • Tor
  • OCI

How I design

Keep the model off the answer path

My Android assistant runs on one rule: code owns the facts, a language model owns the wording. Anything that can be answered from your own encrypted data is answered straight from SQL in 7-12 ms, with no model involved; the model is only asked to phrase things.

factswordingQuestiontyped or spokenRouterfacts firstSQL over your data7-12 ms, no modelLanguage modelwording onlyAnsweron screenfactswordingQuestiontyped or spokenRouterfacts firstSQL over your data7-12 ms, no modelLanguage modelwording onlyAnsweron screen

Journey

Education, work and a few wins

  1. May 2027Education

    B.Tech, Computer Science and Engineering (Data Science)

    Mahatma Gandhi Institute of Technology, Hyderabad · expected

    • CGPA 8.3 / 10
  2. May 2027Education

    BS, Data Science and Applications

    IIT Madras · remote · expected

    • CGPA 7.0 / 10 · machine learning, deep learning, tools in data science
  3. 2026Leadership

    Tech fest coordinator, NEXPLORA

    MGIT

    • Planned an event for 500+ attendees on an INR 2,00,000 budget.
  4. Sep 2025 – Jan 2026Work

    AI/ML Intern

    HCLTech · Hyderabad

    • Raised OCR text-extraction accuracy to 90%+ on complex layouts by benchmarking PaddleOCR against Tesseract.
    • Cut inference latency to under 1.5 s by fine-tuning DBNet on 15,000+ skewed administrative documents.
    • Containerised the pipeline with Docker on Oracle Cloud Infrastructure.
  5. 2025Certification

    Oracle Cloud Infrastructure certification

    Oracle

  6. 2024Award

    HackSavy finalist

    Top 5% of 300+ participants

  7. 2020Award

    IMO Level-2 qualifier

    International Mathematics Olympiad

Contact

Hiring for 2027? Let’s talk.

I graduate in May 2027 and I’m looking for full-time roles in software, Android or backend engineering. Email is the fastest way to reach me.