Dan Thach - Lead Data Scientist / AI Platform Engineer

Q: Where is Dan based?

Dan is based in Warsaw, Poland .

Q: What languages does Dan speak?

Dan speaks the following languages: English (Advanced), Vietnamese (Intermediate) .

Q: How many years of experience does Dan have?

Dan has at least 10 years of experience. During this time, Dan has worked in at least 5 different roles and for 5 different companies . The average length of individual experience is 2 years and 1 month . Note that Dan may not have shared all experience and actually has more experience.

Q: What is Dan's latest experience?

Dan's most recent position is Lead Data Scientist / AI Platform Engineer at Tkxel .

Q: What companies has Dan worked for in recent years?

In recent years, Dan has worked for Tkxel and Meta .

Q: Which industries is Dan most experienced in?

Dan is most experienced in industries like Information Technology (IT) , Media and Entertainment and Publishing .

Q: Which business areas is Dan most experienced in?

Dan is most experienced in business areas like Information Technology (IT) , Product Development , and Research and Development (R&D) . Dan also has some experience in Business Intelligence .

Q: Which industries has Dan worked in recently?

Dan has recently worked in industries like Information Technology (IT) , Media and Entertainment and Publishing .

Q: Which business areas has Dan worked in recently?

Dan has recently worked in business areas like Information Technology (IT) , Product Development , and Research and Development (R&D) .

Recommended expert

Warsaw, Poland

Experience

Apr 2024 - Present

2 years

Lead Data Scientist / AI Platform Engineer

Tkxel

Led design and deployment of an internal LLM-based assistant platform serving over 1,000 daily users, improving response accuracy by 28% and reducing inference cost by 15% through optimized RAG pipeline orchestration.
Developed company-wide AI governance framework with model observability and safety layers, ensuring compliance and reducing hallucination incidents in customer-facing models.
Built modular RAG 2.0 pipelines using LangChain and custom orchestration to enable dynamic context retrieval across product domains.
Partnered with data engineering teams to align feature store schemas with ML and analytics workflows, accelerating model iteration.
Mentored junior engineers on LLMOps best practices and scalable deployment strategies across cloud and on-prem environments.
Tech & Tools: GPT-4/5 APIs, Llama 3, LangChain, HuggingFace, Pinecone, Weaviate, Ray, KServe, MLflow, Kubeflow, Airflow, Feast, Evidently, Prometheus, AWS/GCP

Mar 2021 - Apr 2024

3 years 2 months

Senior Machine Learning Engineer (NLP Focus)

Machine Learning Engineer

Semantic Visions

Designed and deployed end-to-end ML microservices for recommendation and NLP features, ensuring reliable model serving and monitoring.
Implemented A/B testing frameworks for ML system evaluation, improving iteration speed and data-driven decision making.
Collaborated on MLOps pipeline development, including CI/CD workflows, model versioning, and automatic retraining.
Partnered with data engineering teams to optimize ETL and feature pipelines using Spark and Airflow.
Contributed to early adoption of MLflow and model observability dashboards, improving transparency across deployed models.
Tech & Tools: TensorFlow 2.x, PyTorch, scikit-learn, BERT, Docker, Airflow, Kubernetes, Flask/FastAPI, MLflow, Spark, Kafka, BigQuery, Prometheus, Grafana

Nov 2016 - May 2018

1 year 7 months

Data Engineer

Featurespace

Designed and implemented ETL-to-ELT data pipelines using Spark and Airflow, enabling near real-time analytics for product metrics.
Migrated key data workflows from on-premise to AWS and GCP, improving reliability and reducing latency.
Built and maintained data marts and semantic layers supporting downstream analytics and early machine learning projects.
Introduced Kafka streaming for processing event data, increasing scalability and monitoring capabilities.
Partnered with analysts and data scientists to create efficient feature-ready data pipelines for experimentation.
Tech & Tools: Python 3, SQL, Airflow, Spark, Hive, Kafka, AWS (Redshift, S3), GCP (BigQuery), Docker, Bash

Oct 2015 - Nov 2016

1 year 2 months

Junior Data Engineer (Analytics & ETL)

UiPath

Automated legacy Excel/VBA reports using Python and SQL, significantly reducing manual reporting cycles.
Assisted in building initial BI dashboards and ETL pipelines supporting executive analytics.
Participated in pilot Hadoop/Hive projects to evaluate distributed data processing for large datasets.
Tech & Tools: SQL (MySQL, Postgres), Python 2.7/3, Excel/VBA, Tableau, Power BI, Linux, Bash

Industries Experience

See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.

Experienced in Information Technology (10.5 years) and Media and Entertainment (3 years).

Information Technology

Media and Entertainment

Business Areas Experience

The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.

Experienced in Information Technology (10.5 years), Product Development (8 years), Research and Development (6 years), and Business Intelligence (2.5 years).

Information Technology

Product Development

Research and Development

Business Intelligence

Summary

Senior Machine Learning Engineer with a strong hybrid foundation in data science, MLOps, and AI platform development, bridging the gap between scalable machine learning systems and business-driven modeling strategies. Over 10 years of experience spanning data engineering, ML infrastructure, NLP, and LLM-based applications, driving measurable impact through model performance optimization, experimentation, and production reliability. Adept at leading cross-functional ML initiatives, mentoring teams, and transforming complex data pipelines into deployable, value-oriented AI solutions across cloud environments.

Skills

Programming Languages: Python (Numpy, Pandas, Pyspark), R, Sql, Bash
Data Engineering & Processing: Spark, Kafka, Airflow, Etl/elt Pipelines, Data Modeling (Star/kimball)
Machine Learning: Scikit-learn, Tensorflow, Pytorch, Xgboost, Transformers (Bert, Gpt, Llama)
Nlp & Llms: Huggingface, Sentence Transformers, Rag Architectures, Vector Databases (Pinecone, Faiss, Weaviate)
Mlops & Platforms: Mlflow, Kubeflow, Vertex Ai, Sagemaker, Docker, Kubernetes, Ci/cd
Experimentation & Analytics: A/b Testing, Causal Inference, Feature Engineering, Statistical Modeling
Cloud & Infrastructure: Aws (S3, Ec2, Lambda), Gcp (Vertex, Bigquery), Azure Ml, Nvidia Triton/tensorrt
Observability & Governance: Weights & Biases, Evidently, Prometheus, Grafana, Feast, Guardrails Ai
Soft Skills: Cross-functional Collaboration, Mentoring, Product-driven Ml Strategy

Languages

English

Advanced

Vietnamese

Intermediate

Education

Sep 2017 - Aug 2019

University of York

Master of Science in Computer Science · Computer Science · York, United Kingdom

Sep 2011 - Jun 2015

Hanoi University of Science and Technology

Bachelor of Science in Computer Science · Computer Science · Hanoi, Viet Nam

Profile

Created

November 2025

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Frequently asked questions

Do you have questions? Here you can find further information.

Where is Dan based?

Dan is based in Warsaw, Poland.

What languages does Dan speak?

Dan speaks the following languages: English (Advanced), Vietnamese (Intermediate).

How many years of experience does Dan have?

Dan has at least 10 years of experience. During this time, Dan has worked in at least 5 different roles and for 5 different companies. The average length of individual experience is 2 years and 1 month. Note that Dan may not have shared all experience and actually has more experience.

What roles would Dan be best suited for?

Based on recent experience, Dan would be well-suited for roles such as: Lead Data Scientist / AI Platform Engineer, Senior Machine Learning Engineer (NLP Focus), Machine Learning Engineer.

What is Dan's latest experience?

Dan's most recent position is Lead Data Scientist / AI Platform Engineer at Tkxel.

What companies has Dan worked for in recent years?

In recent years, Dan has worked for Tkxel and Meta.

Which industries is Dan most experienced in?

Dan is most experienced in industries like Information Technology (IT), Media and Entertainment and Publishing.

Which business areas is Dan most experienced in?

Dan is most experienced in business areas like Information Technology (IT), Product Development, and Research and Development (R&D). Dan also has some experience in Business Intelligence.

Which industries has Dan worked in recently?

Dan has recently worked in industries like Information Technology (IT), Media and Entertainment and Publishing.

Which business areas has Dan worked in recently?

Dan has recently worked in business areas like Information Technology (IT), Product Development, and Research and Development (R&D).

What is Dan's education?

Dan holds a Master in Computer Science from University of York and a Bachelor in Computer Science from Hanoi University of Science and Technology.