Talha Bilal✨
Varlık🎯
AI/ML Software Engineer
Recent Software Engineering graduate with expertise in AI/ML, embedded systems, and full-stack development. Proven track record in leading cross-functional teams and developing intelligent systems from IoT applications to machine learning solutions. Passionate about bridging theory and practical implementation.
Professional Experience
From software development internships to leading cross-functional teams, here's my journey in building innovative solutions and driving technical excellence.
Software Development & Data Integration Intern
TongucWorks
Led development of automated learning management systems with focus on SCORM-to-xAPI conversion and real-time tracking dashboards.
Technologies Used
C#
.NET
JavaScript
SQLAJAX
SCORMKey Achievements & Impact
Engineered automated SCORM-to-xAPI conversion pipeline using C# and .NET, reducing processing time by 30%
Developed real-time tracking dashboards with AJAX integration for 10,000+ learning sessions
Optimized content management workflows achieving 25% faster upload speeds through database optimization
Maintained 99.9% uptime for LMS deployments across multiple client environments
Social Media Manager / Software Development Intern
Sellmify
Combined social media management with software development, leading UX/UI improvements and cross-platform optimization initiatives.
Technologies Used
React NativeJavaScript
Figma
Git
Node.jsKey Achievements & Impact
Led multidisciplinary team of 4 developers implementing UX/UI improvements, increasing engagement by 40%
Conducted competitor analysis and A/B testing informing strategic product roadmap decisions
Contributed to React Native development cycles with responsive design and cross-platform optimization
Managed agile sprint planning ensuring consistent delivery of high-quality features
Leadership Experience
Leading technical teams and research initiatives to deliver innovative solutions.
Team Lead - University AI/IoT Project
Led development of ESP32-based smart sensor systems integrating real-time data with cloud platforms. Coordinated 3-person team implementing Q-learning algorithms and custom hardware interfaces.
ESP32
Python
IoT
CloudResearch Initiative Leader - Algorithm Design Projects
Independently designed and implemented from-scratch solutions for NP-complete problems including search algorithms (A*, UCS) and machine learning models (Naive Bayes, Decision Trees, Perceptron).
Python
NumPy
Jupyter
ResearchAbout Me
Software engineer specializing in AI/ML, mobile development, and embedded systems. Passionate about building innovative solutions that make a real impact.
My Journey
I bridge theoretical knowledge with practical solutions - from automated learning systems to full-stack IoT applications with real-time data processing.
Through internships at TongucWorks and Sellmify, I've optimized systems by 30% and delivered solutions serving thousands of users while leading cross-functional teams.
Core Strengths
AI/ML Development
Hands-on experience implementing machine learning algorithms and AI solutions for real-world applications.
Team Leadership
Led teams of up to 6 developers, managing projects and delivering features with measurable impact.
Full-Stack Engineering
Proficient in end-to-end development from mobile apps to embedded systems and cloud solutions.
Performance Focus
Delivered 30% faster processing, 40% increased engagement, and 99.9% system uptime.
My Approach
I believe in clean, maintainable code and continuous learning. My focus is on bridging complex technical concepts with practical user needs.
Every project is an opportunity to push boundaries - whether optimizing algorithms or exploring new applications of AI/ML in embedded systems.
I combine technical expertise with user-centered design principles to create solutions that are both powerful and intuitive.
Education & Learning
Bahçeşehir University
B.Sc. in Software Engineering
2021 - 2025
Certifications:
Technical Skills
A comprehensive skill set developed through hands-on experience in software engineering, research, and team leadership across diverse technical domains.
Programming Languages
Frameworks & Technologies
AI/ML & Data Science
Embedded Systems & Cloud
Continuous Learning
Passionate about exploring new technologies, frameworks, and methodologies to solve complex problems and create innovative solutions.
Problem Solving
Algorithm design & optimization
Research
Academic & industry projects
Collaboration
Cross-functional team work
Current Interests
Featured Projects
A showcase of my technical expertise spanning research, full-stack development, data science, and innovative problem-solving across various domains.
Validation-Guided Heuristics for NP Problems
Independent research proposing a novel framework called Validation-Guided Heuristics (VGH) to tackle NP-complete problems. Applied to Knapsack, 3-SAT, Sudoku, and Hamiltonian Path problems with improved performance.
Tech Stack
PythonNumPyJupyter
GitKey Results
- ✓95-97% optimal for Knapsack with 12%+ improvement
- ✓90%+ valid solutions for 3-SAT
- ✓70% fewer backtracking steps for Sudoku
Automatic Pet Feeding System
Led a team of 6 to design and implement an automated pet feeding system integrating embedded hardware with mobile app and cloud database. Full IoT solution with real-time monitoring.
Tech Stack
ESP32
Flutter
C++
Supabase
PostgreSQL
DartKey Results
- ✓Fully functional IoT device
- ✓Real-time Wi-Fi pairing via AP mode
- ✓Mobile app with live updates
Education, Economy and Happiness in Turkey
Comprehensive data analysis investigating the relationship between education level, economic indicators, and social factors impacting happiness in Turkey using TÜİK datasets.
Tech Stack
R
RStudioGitKey Results
- ✓5-fold cross-validation (RMSE: ~2.3, R²: 0.85)
- ✓Multivariate regression with interactions
- ✓Policy insights for education vs happiness
AI Algorithms Implementation
Comprehensive implementation of fundamental AI algorithms including search strategies, reinforcement learning, probabilistic classification, and neural networks from scratch.
Tech Stack
PythonNumPyJupyterGitKey Results
- ✓A*, BFS, DFS, UCS implementations
- ✓Q-Learning GridWorld agent
- ✓Naive Bayes and Perceptron from scratch
Tetris with Crazy Mode
Enhanced Tetris game featuring both classic gameplay and innovative 'Crazy Mode' with dynamic difficulty adaptation, special blocks, and unique mechanics.
Tech Stack
PythonPygameGitKey Results
- ✓Classic Tetris with enhancements
- ✓Dynamic difficulty with random events
- ✓Leaderboard and state management
View All Projects
Explore the complete codebase, documentation, and implementation details.
GitHub RepositoryLet's Connect
Ready to collaborate on innovative projects? I'm always open to discussing new opportunities, technical challenges, and creative solutions in software engineering and AI/ML.
Collaboration Opportunities
•AI/ML Projects
Machine learning solutions and algorithm optimization
•IoT & Embedded Systems
Smart device development and sensor integration
•Full-Stack Development
End-to-end application development
•Research & Innovation
Academic collaboration and algorithm design