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General Information

Full Name Denizhan Dakılır
Location Antalya, Turkiye
Email denizhandakilirn@gmail.com
Phone 90546 975 95 96
Last Updated December 2024

About Me

Seasoned Senior Full Stack Engineer and Machine Learning practitioner with extensive experience delivering large-scale, cloud-native applications. Skilled in .NET Core, ASP.NET Core, React, Python, Julia, and ML frameworks (TensorFlow, PyTorch). Proven ability to design and optimize microservices, build ETL pipelines, and implement CI/CD workflows on Azure and AWS. Adept at improving system performance (up to 40%), enhancing data-driven insights, and ensuring 99.9% uptime. Combines deep technical expertise with strong communication, analytical thinking, and a passion for clean, maintainable code.

Experience

  • Aug 2024 - Nov 2024
    Data Analyist
    Dental Center Turkey
    • Engineered high-throughput ETL pipelines with .NET Core and Azure Functions, processing over 500GB of monthly data at 99.9% accuracy.
    • Leveraged Python (Pandas, SQLAlchemy) to resolve a 1.5-year-old financial data analytics issue, normalizing flows, detecting anomalies, and improving financial reporting reliability.
    • Developed ML-based forecasting models (TensorFlow) that improved financial predictions by 45%.
  • Sep 2023 - Jun 2024
    Senior Full Stack Engineer
    Turconcept
    • Led the design of microservices using ASP.NET Core and React, reducing system latency by 60%.
    • Implemented automated CI/CD on Azure, achieving zero-downtime deployments and seamless scaling.
  • Aug 2022 - Jan 2023
    Front-end Developer
    Phoenix Academy
    • Developed high-performance, responsive UI with React and TypeScript, cutting load times by 40%.
    • Integrated multi-chain cryptocurrency solutions via Web3.js, ensuring robust uptime and secure transactions.

Education

  • 2022 - 2026
    Bachelor of Arts in Philosophy
    Çanakkale Onsekiz Mart University
    • Specialized in Logic, Epistemology, and Philosophy of Science
    • Completed advanced coursework in Ancient Philosophy, Ethics, and Metaphysics
    • Led research projects on Philosophy of Mind and Analytical Philosophy
  • 2016
    Coursework in Linguistics
    Istanbul University
    • Took courses in Computational Linguistics, Natural Language Processing, and Cognitive Linguistics
    • Completed courses in Neurolinguistics, Psycholinguistics, and Statistical Language Analysis
    • Studied foundations of Machine Learning applications in Language Processing

Projects

  • 2024
    True Atmospheric Randomness Tool
    • Developed an advanced file selection system implementing true random number generation via Random.org’s quantum-based API.
    • Tools Used - PowerShell, Python, Random.org API, System.Web assembly, Git, Mathematical modeling libraries
  • 2024
    I-Ching
    • Engineered a sophisticated I Ching divination system leveraging cryptographic-grade randomness from atmospheric noise measurements..
    • Tools Used - JavaScript, HTML5, CSS3, REST APIs, Random.org Integration, Vector Graphics, Asynchronous Programming
  • 2024
    GAS Price Levels Technical Indicator
    • Created a GAS price level indicator by integrating three proprietary alpha factors with dynamic Information Coefficient weighting through rolling 20-period correlations.
    • Tools Used - Pine Script, Git, TradingView, Technical Analysis Calculations
  • 2024
    Oracle - Modern PGM Divination
    • Built a modern divination system with Next.js and TypeScript, integrating Random.org’s atmospheric noise for true randomization. Enhanced user interaction with the Web Speech API and implemented the Fisher-Yates algorithm.
    • Tools Used - Next.js, TypeScript, TailwindCSS, Web Speech API, Fisher-Yates Algorithm, Random.org API
  • 2024
    Financial Data Correlation Analysis Engine
    • Developed a REST API for financial time series correlation analysis, featuring automated data processing, Pearson correlation calculations, and interactive Plotly visualizations.
    • Tools Used - C#, ASP.NET Core, ML.NET, Plotly.js
  • 2024
    Bitcoin Price Prediction System
    • Implemented a sophisticated cryptocurrency price prediction system using stochastic calculus and ARIMA-GARCH modeling, achieving 90% accuracy in backtesting through integration of Monte Carlo methods and technical analysis, implenting measures against overfitting.
    • Tools Used - Julia, Binance API, Statistical Analysis Libraries, Technical Analysis Tools, Time Series Analysis

Technologies

Languages & Frameworks C#, Python, JavaScript/TypeScript, SQL, Julia, R, Matlab, F#, Haskell, .NET Core, ASP.NET Core, Entity Framework Core, React.js, Next.js
ML & Data TensorFlow, PyTorch, Scikit-learn, Computer Vision, ETL Pipelines, SQL Server, MongoDB, ML.NET, Kafka, Power BI
Cloud & DevOps Azure (App Services, Functions, DevOps), AWS (Lambda, EC2, S3), Docker, Kubernetes, Jenkins, GitLab CI/CD, Terraform
Tools & Practices Git, Azure DevOps, Jira, Confluence, SonarQube, Microservices, REST APIs, Automated Testing, Agile/Scrum

Hobbies

Strategic Games Baduk (Go), Chess, Shogi
Mind Sports Competitive problem solving, Mathematical puzzles
Other Philosophy, Game theory applications