Recommended expert

Dan Thach

Lead Data Scientist / AI Platform Engineer

Dan Thach
Warsaw, Poland

Experience

Apr 2024 - Present
1 year 10 months

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)

Meta

  • Led fine-tuning and deployment of transformer-based models for document intelligence, boosting text extraction accuracy by 21% and cutting inference latency by 35% through efficient model serving.
  • Designed and implemented scalable ML pipelines and retraining workflows, reducing manual retraining cycles by 40% and improving model monitoring coverage organization-wide.
  • Built end-to-end NLP components including tokenization, embeddings, and evaluation systems to support enterprise search and knowledge extraction.
  • Pioneered early retrieval-augmented generation (RAG) prototypes for internal document Q&A solutions.
  • Collaborated with platform teams to integrate ML observability and CI/CD automation within Kubernetes-based workflows.
  • Conducted comparative A/B testing between transformer-based and conventional NLP models for production-grade deployment decisions.
  • Acted as a mentor and reviewer for junior engineers, standardizing best practices for NLP experimentation and deployment.
  • Tech & Tools: HuggingFace Transformers, BERT, RoBERTa, T5, GPT-3 API, Sentence Transformers, MLflow, DVC, Kubeflow, SageMaker, Feast, Evidently, Spark, Kafka, Delta Lake
Jun 2018 - Feb 2021
2 years 9 months

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

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

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