Lukasz A.
Senior Machine Learning Engineer / Data Scientist
Experience
Sep 2024 - Present
1 year 4 monthsSenior Machine Learning Engineer / Data Scientist
Sysmatch
- Lead research and experimentation for large-scale ML and LLM systems, combining data analysis with applied modeling to support production AI features.
- Designed and deployed a retrieval-augmented pipeline for personalized content generation, resulting in about 12% gain in relevance scores across live A/B experiments.
- Engineered fine-tuning workflows for large language models using LoRA and adapter techniques, cutting training cost while maintaining stable generalization.
- Built a statistical evaluation framework to measure generative model quality using multiple quantitative and human-rating metrics.
- Collaborated with research and infrastructure teams to refine AI assistant prototypes, emphasizing iterative testing and data efficiency.
- Maintained reproducible research environments with MLflow tracking and Hugging Face integration for experiment versioning and documentation.
Feb 2022 - Sep 2024
2 years 8 monthsSenior AI/ML Data Scientist
- Advanced experimentation, model prototyping, and causal analysis for ML systems supporting product and business intelligence teams.
- Led experimentation design for A/B and multivariate tests across ranking and recommendation systems used in multiple product lines.
- Prototyped and validated transformer-based models for text and vision data, improving early model accuracy in production trials.
- Applied causal inference frameworks such as DoWhy and EconML to estimate treatment effects and guide key product rollouts.
- Worked with data engineers to create feature pipelines integrated with Spark and Snowflake, enabling faster model iteration cycles.
- Applied fairness and interpretability checks using SHAP and model diagnostics to support internal compliance reviews.
- Co-authored internal research papers and provided technical guidance to junior team members on experiment reproducibility.
- Partnered with analytics and engineering leads to translate experimental findings into stable, production-ready ML services.
Nov 2018 - Jan 2022
3 years 3 monthsMachine Learning Engineer / Applied Research Engineer
DeepL
- Applied ML development and deployment, bridging research models and production environments through automated experimentation pipelines.
- Engineered and maintained ML workflows for recommendation and prediction models, automating data ingestion, training, and inference.
- Conducted experiments in deep learning using PyTorch and TensorFlow, applying transfer learning for image and language tasks.
- Established reproducible research setups with MLflow and TensorBoard for experiment tracking and model comparisons.
- Deployed models through containerized REST services with Docker and FastAPI on AWS, improving delivery reliability and scalability.
Oct 2017 - Nov 2018
1 year 2 monthsData Scientist
Humai Technologies
- Performed exploratory data analysis and hypothesis testing to uncover factors influencing customer behavior and product usage.
- Created regression and classification models in Python and R to forecast key metrics and assist internal strategy teams.
Summary
Senior Machine Learning Engineer with over 8 years of hands-on experience in data science, applied research, and statistical modeling. Skilled at taking ML ideas from exploration to production, combining experimentation, hypothesis testing, and model evaluation to guide product and research decisions. Experienced working across distributed teams in remote settings and comfortable balancing research depth with practical engineering needs. Strong background in Python, deep learning frameworks, and experimentation platforms.
Languages
English
AdvancedEducation
May 2019 - May 2021
University of York
Master of Science in Advanced Computer Science · Advanced Computer Science · York, United Kingdom
Sep 2013 - Aug 2017
Nanyang Technological University
Bachelor of Computing (Hons) in Computer Science · Computer Science · Singapore
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