Enes S.
AI Engineer
Experience
Mar 2025 - Present
10 monthsToronto, Canada
AI Engineer
Independent Self-Employed
- Multiple freelance engagements for diverse clients, delivering end-to-end AI and ML engineering solutions.
- An application that uses a LLM to automatically extract concepts, relationships, and hierarchies from domain text and generate a structured ontology.
- An AI agent that performs reverse image search and integrates multi-source reasoning to identify people or contextual details from a single input image.
Aug 2024 - Jan 2025
6 monthsUnited States
Quant Data Scientist
Blockhouse
- Applied policy gradient based deep reinforcement learning methods (SAC, PPO) to optimize price impact during trading using Stable-Baselines3.
- Debugged the trading RL agent’s learning dynamics, culminating in demonstrable learning improvements and convergence.
- Deployed the RL agent model using the Ray Serve framework on AWS.
Oct 2019 - Mar 2024
4 years 6 monthsToronto, Canada
NLP Machine Learning Engineer
Creative Destruction Lab
- Used ensemble methods, multi-kernel learning, few-shot learning and active learning, LLM fine-tuning to enhance model accuracy for financial text and tabular classification by 10-20%.
- Developed products based on applied NLP, focusing on semantic retrieval, ranking, clustering, RAG, and summarization for the venture capital industry.
- Implemented and containerized data preprocessing and prediction pipelines using Pandas, Polars, Docker and Apache Airflow.
- Built a multi-GPU Bayesian hyperparameter optimization pipeline using Ray, resulting in a 4-5% improvement in F1 score.
- Created a single-node, multi-GPU training pipeline using PyTorch, leveraging data and pipeline parallelism.
- Managed MLOps processes including model deployment to production (AWS Sagemaker), monitoring, maintenance, and drift detection.
- Conducted literature reviews, researched and prototyped new models.
- Performed model explainability with SHAP and Captum.
Jul 2016 - Jun 2017
1 yearAnkara, Turkey
Intern and Research Engineer
ASELSAN
- Developed a CNN-based predictive model using transfer learning for fine-grained car make/model classification for visual surveillance.
- Trained a CNN to improve image quality from thermal cameras through blind deconvolution for image super-resolution.
Languages
English
AdvancedEducation
Sep 2017 - Jun 2019
University of Toronto
Master of Applied Science in Electrical and Computer Engineering · Electrical and Computer Engineering · Toronto, Canada · CGPA: 3.91/4.00
Aug 2015 - May 2016
National University of Singapore
Exchange Student in Electrical and Computer Engineering · Electrical and Computer Engineering · Singapore
Sep 2013 - Jun 2017
Bilkent University
Bachelor of Science in Electrical and Electronics Engineering, focus on signal processing and machine learning · Electrical and Electronics Engineering · Ankara, Turkey · CGPA: 3.88/4.00
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