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Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO

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@Devcord16 @Intergalactic-Science-Kingdom-ISK

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KronosDP/README.md

Hi, I'm Darrel 👋

AI Researcher & Software Engineer, currently open to remote opportunities.

  • 🔬 I build and study ML systems end-to-end — from research (custom CUDA kernels, LLM architectures) to production-shaped full-stack apps.
  • 📄 Portfolio, CV & writing: kronosdp.github.io
  • 🤝 Open to collaborating on projects that put ML models in front of real users.

💼 Experience

  • NVIDIA — AI Research Intern (Jan-Jun 2025, Remote). Evaluated RWKV-v4/v7 against Transformers, LSTMs, and GRUs for formal regular-language expressivity; wrote a custom PyTorch CUDA C++ WKV operator for accelerated recurrent state transitions. → rwkv-research
  • Meeting.ai — AI Engineer Intern (Jul-Dec 2025, Jakarta). Benchmarked ASR pipelines at 10+ simultaneous sessions to isolate latency bottlenecks; compressed a speaker verification model via knowledge distillation.
  • Intergalactic Science Kingdom — AI & Backend Engineer (Jan-Jul 2026). Architected and deployed an LLM-backed product on Go/Django, integrating OpenRouter for multi-model routing, context management, and speech synthesis.

Full experience, education, and awards on my CV.

🚀 Selected projects

Project What it is
rwkv-research From-scratch RWKV-7 implementation with a custom fused CUDA kernel, benchmarked against RNN/LSTM/GRU/Transformer on formal-language recognition tasks — grew out of my NVIDIA internship.
client-fit-vetting Full-stack (FastAPI + React) MVP that standardizes recruiter-to-client candidate vetting with behavioral scoring and auto-generated coaching briefs.
Clickbait-Classifier-for-Gemastik-2023 Clickbait detection for Indonesian headlines (IndoBERT vs. XGBoost/RF/Naive Bayes) — built for Gemastik, Indonesia's national student tech competition.
dicoding-permasalahan-insitusi-pendidikan Student dropout prediction: EDA + a decision-tree classifier deployed behind a Streamlit scoring app.
bike-sharing-dashboard Interactive Streamlit dashboard analyzing 2 years of bike-share rental data.

🛠️ Tech Stack

Python PyTorch TensorFlow scikit-learn Pandas

Rust Go FastAPI Django React TypeScript

Docker PostgreSQL GCP

🌐 Find me elsewhere

Portfolio LinkedIn Instagram

Pinned Loading

  1. Clickbait-Classifier-for-Gemastik-2023 Clickbait-Classifier-for-Gemastik-2023 Public

    Clickbait detection for Indonesian news headlines: IndoBERT vs. XGBoost/Random Forest/Naive Bayes, built for Gemastik 2023 (Indonesia's national student tech competition).

    Jupyter Notebook

  2. rwkv-research rwkv-research Public

    Research on the RWKV recurrent LLM architecture: a custom fused CUDA WKV kernel, architecture refactors (SwiGLU -> linear projection), and training experiments on synthetic regular-language tasks.

    Python 1

  3. bike-sharing-dashboard bike-sharing-dashboard Public

    Interactive Streamlit dashboard analyzing 2 years of Capital Bikeshare (Washington D.C.) rental data: EDA, seasonal/weather trends, and user behavior patterns.

    Jupyter Notebook

  4. client-fit-vetting client-fit-vetting Public

    Full-stack MVP (FastAPI + React) that standardizes recruiter-to-client candidate vetting: behavioral scoring against client archetypes, auto-generated coaching briefs, and conversion analytics.

    Python

  5. dicoding-permasalahan-insitusi-pendidikan dicoding-permasalahan-insitusi-pendidikan Public

    Student dropout prediction for a university: EDA, a decision-tree classifier, and a Streamlit app to score at-risk students, built for Dicoding's data science program.

    Jupyter Notebook

  6. KronosDP.github.io KronosDP.github.io Public

    Personal portfolio and academic site: CV, research, talks, and blog.

    Astro