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Working from home
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Achievements

Achievement: Pull Sharkx2Achievement: YOLO

Achievements

Achievement: Pull Sharkx2Achievement: YOLO

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Kaynup/README.md
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About Me

Electrical Engineer with CS Specialization. Building Full Stack Systems and applications along with data-oriented projects, AI applications, Open source contributions and basically everything that tires me out...

Note: Some of these projects are currently private or in active development until their official release

Kaggle HyperShort Orpheus cythml
Earth and Connections

Open Source Contributions

I actively contribute to popular open source repositories. Here are some of my recent contributions:

  • scikit-learn/scikit-learn: PR #34817 - Optimized confusion_matrix_at_thresholds with integer cumulative sum for unweighted inputs.
  • scikit-learn/scikit-learn: PR #34789 - Preserved pandas DataFrame inputs and feature names across RFE and RFECV.
  • explosion/projects (spaCy): PR #211 Replaced OS-specific bash commands with cross-platform inline Python.

Featured Projects

HyperShort

Production-grade URL shortener: FastAPI + ReactJS, JWT auth with sessionStorage, DynamoDB, bijective short-code generation, and 302 redirection. Deployed on AWS EC2 (t3.micro) with IAM role auth, elastic IP, and Caddy SSL.

(Private Repository)

Binary Sentiment Classification

Full-stack deployment of sentiment classifiers in Scikit-learn and JAX frameworks. Inferences handled via FastAPI on a Railway backend, connected to a vanilla JS frontend on Vercel.

cythml

Optimized machine learning algorithms and tools implemented with Cython for high performance and reduced Python overhead.

(Private Repository)

Amazon ML Hackathon 2025

Structured a robust research workspace focusing on multimodal product price prediction from catalog text descriptions and images. Benchmarked TF-IDF + LightGBM to BERT fine-tuning regressors.

RL Tic-Tac-Toe Q-table Agent

Implemented a tabular Q-Learning agent for Tic-Tac-Toe. Fully reproducible training using configurable hyperparameters and random seeds via config.yaml.

Orpheus

Retrieval-Augmented Generation (RAG) system with persistent vector storage (ChromaDB), multi-provider LLM orchestration (LiteLLM), and strict source citations. Built with Flask backend

(Private Repository, public on beta release)

Technical Stack

Category Technologies
Languages Python Java JavaScript ReactJS Go Cython
Backend FastAPI Flask
Deployment Docker AWS Vercel Railway
Machine Learning & AI Scikit-learn PyTorch llama.cpp Ollama
Data Eng & Storage Apache Spark PySpark PostgreSQL MySQL DynamoDB

GitHub Stats

GitHub Stats Top Languages

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  1. BIRD-CLEF-2026-Kaggle-Competition-Project BIRD-CLEF-2026-Kaggle-Competition-Project Public

    Jupyter Notebook

  2. Amazon-ML-Hackathon-2025-Research-Educative-Pipelines Amazon-ML-Hackathon-2025-Research-Educative-Pipelines Public

    Jupyter Notebook

  3. DLMMDD-Workshop-Synthetic-Image-Attribution-Kaggle-Competition DLMMDD-Workshop-Synthetic-Image-Attribution-Kaggle-Competition Public

    Jupyter Notebook

  4. Family-Support-Scheduler-Full-stack-App Family-Support-Scheduler-Full-stack-App Public

    Python

  5. Playground-Series-S6-E4-Kaggle-Competition Playground-Series-S6-E4-Kaggle-Competition Public

    Jupyter Notebook 1

  6. Binary-Text-Classification-with-Sklearn-Jax Binary-Text-Classification-with-Sklearn-Jax Public

    Jupyter Notebook