Talha Müderrisoğlu

TALHA MÜDERRISOĞLU

Software Engineer | BI Developer | Data Engineer

talhamuderrisoglu@gmail.com +90 536 618 87 87 LinkedIn

Experience

BI Department Part-time Software Engineer

Aras Kargo

Istanbul/Beykoz, Turkey

05.2025 - Present

  • Gained hands-on experience with a variety of Business Intelligence tools, including data visualization and reporting platforms, while learning and actively contributing to the key processes, workflows, and analytics procedures of the BI department. Collaborated closely with team members to understand business requirements and translate them into actionable insights.
  • Designed and developed the Aras AI SQL Analyzer, a cross-technology tool leveraging Python and Javascript, to significantly improve team efficiency in handling complex queries and database tasks. Additionally, created Python-based utilities to automate repetitive tasks and quickly resolve ad-hoc technical challenges, enhancing overall departmental productivity.
  • Contributed to critical reporting applications within the BI department using C#, developing and maintaining robust solutions that supported essential business processes. Worked on optimizing report generation, integrating data from multiple sources, and ensuring accurate, timely, and actionable insights for decision-makers.

Intern - Part Time Software Engineer

Parton Big Data & Consulting

Istanbul/Sarıyer, Turkey

04.2024 - 04.2025

  • Built and configured EC2 instances for scalable data processing pipelines, ensuring high availability and efficient resource allocation. Leveraged AWS services including Lambda, S3, and RDS to orchestrate and automate workflows.
  • Utilized SQL, NumPy, and Pandas for advanced data manipulation. Gained hands-on experience in cleaning, transforming, and analyzing data for production use. Containerized data workflows with Docker to ensure reproducibility and scalability across environments.
  • Collaborated on the development of LLM pipelines using models like Mistral and DeepSeek, integrating RAG architecture for document-grounded QA systems. Designed embedding workflows and custom chunking strategies to optimize retrieval accuracy and reduce hallucination rates. Deployed and tested vector databases like ChromaDB to enable efficient similarity search and context-aware generation.

Software Team Member

ITU Racing Project Team

Istanbul/Sarıyer, Turkey

10.2023 - 10.2025

  • Designed and implemented the official project website using modern web technologies to enhance team visibility.
  • Developed a real-time data acquisition and analysis system called Telemetry system to monitor critical parameters such as speed, engine temperature, and battery health during test runs. Ensured low-latency data handling to support rapid iteration in the Formula Student development cycle.
  • Designed and implemented a stock tracking system tailored to monitor inventory levels, component usage, and restock alerts during the production cycle. Integrated the system with the team's part request and usage workflows to minimize delays and material shortages. Focused on creating real-time updates to support fast-paced development environments.
  • Participated in Formula Student Italy and Formula Student Turkey as a member of ITU Racing, achieving 1st place in Formula Student Turkey.

Education

Istanbul Technical University

B.Sc., Computer Engineering

Istanbul, Turkey

2023 - 2027

GPA: 2.92 / 4.0

ITU English Proficiency Exam: 88/100

Technical Skills

Programming

C# C/C++ Python Javascript

Data Tools

NumPy Pandas Docker SQL

BI Tools

Qlik SSMS ABI

Cloud / DevOps

AWS (EC2, Lambda, S3, RDS) Git/GitHub

Systems

Linux Windows Bash Docker

Machine Learning / NLP

Embeddings RAG pipelines LLM fine-tuning

Projects

BMS UI

Battery Management System monitoring application with serial port communication, real-time data visualization, and configuration management. Provides comprehensive monitoring and control capabilities for battery systems.

C# Windows Forms Serial Communication

Aras AI Analyzer

Web-based SQL and stored procedure analyzer powered by Google Gemini AI. Connects to MSSQL databases, analyzes queries, and generates technical documentation with business insights to improve team efficiency.

Python Flask JavaScript Google Gemini API MSSQL HTML/CSS

Telemetry-UI-2025

Real-time telemetry data acquisition and visualization system for Formula Student racing team. Monitors IMU sensors, battery parameters, mechanical data, and vehicle performance metrics during test runs.

C# Windows Forms Serial Communication SQLite

Ticket Demand Prediction

Time series forecasting system for predicting daily ticket demand using multiple ML models. Incorporates Turkish holiday calendars, weekend patterns, and temporal features for accurate predictions.

Python Prophet XGBoost LightGBM Pandas NumPy Matplotlib

References

Prof. Dr. Altan Çakır

CEO, Parton Big Data & Consulting; Co-Chair, AITR; Researcher, Ph.D, CERN

Istanbul Technical University

altan.cakir@itu.edu.tr

Dr. Meriç Yücel

Deputy Director, ITU UYSM

Istanbul Technical University

yucelme@itu.edu.tr