Neşenaz Yalçın
Designing Intelligent Systems for Complex Realities
Computer Science and Industrial Engineering student at Sabancı University, working across AI, data science, software engineering, and research to build systems that perform under real-world constraints.
Signal Under Constraint
A portfolio interface for AI, research, engineering, and resilient systems thinking.
About
A builder trained to think in systems, not just screens.
Neşenaz works across the spaces where data, software, operations, and human constraints meet. Her profile combines technical depth with the judgment to ask what a system is actually for.
I am drawn to problems where intelligence has to become useful under pressure: search systems that need to rank better, industrial devices that have to act with limited resources, and logistics questions where data must support real coordination.
That is why my work moves between research, experimentation, engineering, and communication. I care about building things that are technically serious and grounded in the realities they are meant to serve.
01
Systems thinker
Trained across computer science and industrial engineering, with a natural focus on decision systems, optimization, constraints, and measurable outcomes.
02
Research-to-engineering builder
Comfortable moving from literature and experiments into usable software, data pipelines, evaluation metrics, and production-facing reasoning.
03
Globally trained technologist
Academic and work experiences across Turkey, Italy, and China shaped a practical, internationally fluent way of collaborating.
Experience
Industry, research, and teaching across intelligent systems.
A compact view of roles that connect applied data science, industrial AI, automation, logistics research, and technical communication.
Recent · Istanbul, Turkey
Data Science Intern
Hepsiburada
Search relevance and ranking evaluation for e-commerce discovery.
- Worked on BM25 benchmarking, ranking feature optimization, and query clustering for search relevance workflows.
- Used metrics such as NDCG@k and CR@k to reason about ranking quality and retrieval performance.
Recent · Istanbul, Turkey
Senior Project Student
Siemens
Resource-efficient AI orchestration for industrial edge devices.
- Explored small and quantized language models for protocol-driven industrial edge actions.
- Designed around constrained-device realities, MQTT-style communication, and reliable system behavior.
Recent · Istanbul, Turkey
Learning Assistant
Sabancı University
Teaching support for DSA 210 Data Science.
- Supported students in data science concepts, analytical thinking, and applied problem solving.
- Strengthened communication across technical explanation, feedback, and classroom support.
Recent · Shanghai, China
R&D Intern
Bekaert
Data extraction pipelines and ML-based defect classification.
- Built extraction and reporting workflows to make engineering data easier to analyze.
- Worked on machine learning approaches for defect classification in an industrial R&D context.
Recent · Istanbul, Turkey
Data Science Intern
Getirfinans
Financial-rate automation with Python and scraping workflows.
- Automated extraction and comparison of financial rates from structured and web-based sources.
- Improved recurring data checks with Python scripting, scraping, and practical automation tooling.
Multiple semesters · Istanbul, Turkey
Research Assistant
Sabancı University
Disaster relief logistics and earthquake-related data analysis.
- Contributed to research on disaster relief logistics, coordination, and data-informed response planning.
- Worked with analytical models and earthquake-related datasets in a real-world resilience context.
Featured Projects
Selected work with technical depth and real-world texture.
These projects are intentionally varied: retrieval, industrial AI, disaster logistics, full-stack systems, realtime interaction, and operations simulation.
Resource-Efficient AI Action Orchestration Platform
A senior project exploring how compact language models can map operator intent into protocol-driven actions for constrained industrial edge systems.
Designed the orchestration concept around small and quantized models, action protocols, MQTT-style messaging, and reliability under device constraints.
Why it matters
It connects AI capability to industrial systems where latency, resources, and safety matter more than spectacle.
E-Commerce Search Relevance / Ranking Optimization
Benchmarking and analysis work focused on improving e-commerce search relevance with ranking features and query-level evaluation.
Worked with BM25 baselines, query clustering, retrieval metrics, and ranking diagnostics.
Why it matters
Search quality directly shapes customer discovery, conversion, and trust in high-scale commerce environments.
Disaster Relief Logistics Research
Research support around earthquake-related data, relief logistics, coordination, and decision-making under uncertainty.
Analyzed logistics-oriented data and contributed to research workflows over multiple semesters.
Why it matters
The work sits where analytical systems meet urgent human and operational constraints.
Full-Stack E-Commerce Platform
A full-stack commerce application with product flows, backend APIs, authentication concepts, and database-backed state.
Built across frontend, backend, and persistence layers with attention to usable product flows.
Why it matters
It demonstrates end-to-end engineering fluency beyond notebooks and isolated scripts.
Real-Time Messaging Application
A messaging experience designed around responsive UI state, user flows, and live communication patterns.
Implemented application logic and interface structure for real-time interaction.
Why it matters
Realtime products require a disciplined sense of state, latency, and user trust.
Airport Terminal Simulation & Optimization
A simulation and optimization project focused on terminal behavior, bottlenecks, and operational decision-making.
Modeled system flow, evaluated capacity constraints, and reasoned about improvement opportunities.
Why it matters
It reflects the industrial engineering side of building better systems from messy operational reality.
Mission / Impact
Technology feels most meaningful when it helps under real constraints.
The direction behind the work is deliberate: build intelligence that can support coordination, resilience, and better decisions in environments where the stakes are not abstract.
Real-world systems
The 2023 earthquake in Turkey shaped how I think about technical work: not as something separate from the world, but as a way to improve coordination, readiness, and decision-making when complexity becomes immediate.
I am interested in AI and data systems that are measured not only by elegance, but by how reliably they behave under constraints. That is the thread connecting disaster logistics, industrial edge AI, ranking evaluation, and the software systems I choose to build.
Coordination
Making complex systems legible enough for people, models, and organizations to act together.
Constraint-aware intelligence
Designing around imperfect data, limited resources, latency, and the real cost of unreliable decisions.
Resilience
Using engineering judgment to support systems that need to keep working when conditions are difficult.
Skills
Capability clusters, not a keyword drawer.
The stack reflects a profile that can analyze data, build software, reason about systems, and communicate technical work clearly.
01
Programming
02
Web & Backend
03
Data & ML
04
Databases
05
Tools & Platforms
06
Optimization & Automation
Achievements
Signals of direction, communication, and international readiness.
Promise for Tomorrow Program
First Place
Recognition for forward-looking problem solving and impact-oriented thinking.
IELTS
8.5 / 9.0
Strong international communication profile.
Academic Profile
CS + Industrial Engineering
A dual foundation in software, analytics, systems, and operations.
Global Exposure
Turkey, Italy, China
Study and work experience across international academic and industry contexts.
Education / Global Experience
A technical foundation shaped across borders.
The academic story combines rigorous interdisciplinary training in Istanbul with European exchange experience in Bologna.
Sabancı University
B.S. in Computer Science & Industrial Engineering
Double major training across algorithms, software systems, data science, optimization, and decision-oriented engineering.
University of Bologna
Erasmus Study Exchange Program
International academic experience at one of Europe’s historic research universities.
Contact
Open to technical work where intelligence meets real-world purpose.
Interested in AI, data science, software engineering, research, intelligent systems, and product-minded technical opportunities.
Let’s talk about systems that need more than a model: judgment, engineering, evaluation, and a clear reason to exist.
Replace placeholder email, LinkedIn, GitHub, CV, and project URLs in data/portfolio.ts.