MSc. in Artificial Intelligence –
University of Jyväskylä
Thesis Phase
B.S. in Computer Science – Yildiz
Technical University
June 2023 GPA: 3.84/4.0 (2nd in class)
Experience
Research Engineer – Huawei
Aug 2023 - Aug 2024
Enhanced custom in-house distributed training library
with parameter-efficient methods, context expansion, and
training stabilization techniques, achieving 8x resource
reduction without performance degradation.
Conducted customer requirements analysis sessions,
architected ML solutions for business needs, and defined
PoC implementation roadmaps with cross-functional teams.
Coded LLM architectures enabling compatibility with
standard libraries, delivering significant inference
speedup.
Built scalable multi-backend inference platform with
RESTful/streaming APIs, supporting scalable deployment
and advanced sampling methods.
Wrote multilingual synthetic data generation toolkit and
fine-tuning pipelines for customer LLM adaptations.
Ran ZeRO/FSDP/DeepSpeed multi-node training, tested
models and supplied teams with improved data pipelines.
Undergraduate Research Fellow – Yildiz
Technical University
June 2022 - March 2023
Curriculum learning research in publicly funded project,
implementing cyclical and difficulty-based training
strategies.
Developed data augmentation pipeline and experimented
with auxiliary classifiers for early exit strategies.
Deployed distributed training systems using TensorFlow,
PyTorch, and Horovod on lab computers.
Trained CLIP-style multimodal models with contrastive
learning.
Research Intern – New Mind AI
July 2021 - October 2021
Conducted research on state-of-the-art natural language
processing techniques and their application in a system
assisting lawyers in lawsuits, focusing on Document AI
applications in the Turkish language.
Publications
Scaling Up Paraphrase Generation Datasets with MT
and Semantic Similarity Filtering