Who I Am

I’m a Data Scientist and Backend Developer passionate about building efficient, scalable, and high-impact solutions. With experience spanning from server administration to developing fraud detection systems and high-performance Discord bots, I bring a blend of technical expertise and practical problem-solving to every project.

I thrive on efficiency, optimization, and making things actually work—whether it’s scaling ML models, designing robust backends, or automating repetitive tasks.

Professional Experience

Freelance - Data Scientist (2024)

  • Model Training Optimization: Leveraged parallel processing and advanced feature engineering techniques like principal component analysis and feature scaling, achieving a 30% reduction in training time and improved model efficiency.
  • AI-Driven Applications: Built web applications using Streamlit and Flask, enhancing user engagement by 40% with intuitive interfaces and seamless functionality.
  • Recommendation Systems: Developed sophisticated recommendation engines using cosine similarity, TF-IDF, and deep learning approaches, achieving a 35% improvement in model accuracy.

Discord - Bot Developer (2021)

  • High-Scale Bot Management: Maintained a verified Discord bot handling over 3 million monthly queries, ensuring reliable and responsive user interactions.
  • Real-Time Data Systems: Implemented advanced API integrations and real-time data retrieval systems for seamless user experience.
  • Workflow Optimization: Reduced manual moderation intervention by 40% through intelligent automation and workflow enhancements.
  • Analytics Pipeline: Built and fine-tuned data pipelines using Python and MongoDB, achieving a 30% reduction in response times.

Nationals - Server Administrator (2016)

  • Linux System Management: Managed server performance optimization and user permissions for over 500 users, ensuring smooth and secure operations.
  • Automation Development: Created 10+ user-friendly scripts that reduced manual effort by 40% and increased operational efficiency.
  • Performance Tuning: Improved server performance by 20% and reduced latency by 15% through proactive monitoring and resource optimization using AWS CloudWatch.

Technical Skills

Core Technologies

Python JavaScript/TypeScript SQL Docker AWS Linux

Data & Machine Learning

Pandas/NumPy Scikit-learn XGBoost/LightGBM Feature Engineering TensorFlow

Web & Backend

FastAPI/Flask RESTful APIs PostgreSQL/Redis Authentication HTML/CSS

Notable Projects

Fraud Detection System

Designed an end-to-end ML pipeline using ensemble methods with XGBoost, LightGBM, and CatBoost, achieving 97.8% accuracy with minimal false positives.

E-Commerce Backend API

Built a production-grade backend with three-tier architecture, JWT authentication, and comprehensive e-commerce functionality.

Weather Prediction App

Developed an ML-powered forecasting system with MSE of 0.05, utilizing automated preprocessing pipelines and real-time API integration.

Broken Infra Tech Blog

Created a high-performance Hugo website achieving 100/100 PageSpeed Insights score and 14K organic hits in one week.

Education & Continuous Learning

I believe in lifelong learning and constantly expanding my skills through projects, research, and keeping up with the latest advancements in technology. I regularly participate in ML competitions, contribute to open-source projects, and experiment with emerging technologies.

Outside of Coding

When I’m not building or optimizing systems, I enjoy exploring new technologies, contributing to tech communities, and sharing knowledge through my technical blog. I’m always open to collaborating on interesting projects that push the boundaries of what’s possible.