Marcin Szmydt — Director of Engineering

🚀 GenAI & ML Leader | Driving Enterprise-Wide AI Transformation I am a passionate advocate for the transformative power of Generative AI, with a strong belief in its ability to reshape industries and accelerate business growth. My expertise lies at the intersection of engineering expertise in the AI/ML space (10+ years), strategic planning (5+ years), and the delivery of large-scale programs to help global enterprises unlock the full potential of AI-driven innovation and transformation. Everything, while ensuring Responsible AI and legal compliance. 🔹 Proven Track Record in Leading AI at Scale I have experience in delivering global programs (70+ FTEs) covering both AI Platforms (that are accelerating development and making cost of each new AI use case lower), and AI Products development (e.g., for marketing, R&D, finance, procurement, or engineering excellence use cases). I do have both traditional ML and GenAI experience. 🔹 Research-Backed AI Expertise My research background fuels my ability to bridge cutting-edge AI advancements with real-world applications. I earned an industrial Ph.D. in neural networks for electronic banking marketing, successfully defending my dissertation in just under two years. My research received distinction and secured second place in the 15th PUEB Foundation Competition for the Best Doctoral Theses in Poland. 🔹 Industry Experience Finance | Banking | Retail | E-commerce | Telecommunications 🔹 Leadership Philosophy & Core Strengths ✔ Aligning, leading, and scaling large teams and organizational units ✔ Bridging the gap between technical and executive stakeholders ✔ Translating business objectives into scalable AI solutions ✔ Driving motivation and fostering high-performing teams ✔ Making high-quality, long-term strategic decisions ✔ Staying at the forefront of emerging AI technologies 🔹 Technological Stack Used in Past Projects Databricks (and all its AI components within MosaicAI: LLM Gateway, Genie, Vector Search, Agent Bricks, MLFlow, AI Playground, MCP servers, building RAGs), AWS Bedrock, AWS SageMaker, AWS Bedrock Guardrails, GCP VertexAI, EPAM DIAL, LangChain, LlamaIndex, OpenSearch, Popular LLMs: Gemini, GPT-family, Antropic family (E.g., Claude), Llama, etc. I am always eager to engage in thought-provoking discussions about the future of AI, data-driven innovation, and product strategy. Let’s connect if you’re interested in shaping the next wave of GenAI transformation.

Stackforce AI infers this person is a SaaS and AI transformation leader with extensive experience in enterprise-level AI solutions.

Location: Poznań, Wielkopolskie, Poland

Experience: 10 yrs 3 mos

Skills

Generative Ai
Ai Platforms
Data Science
Mlops
Higher Education Teaching
Research

Career Highlights

Expert in Generative AI and AI transformation.
Proven track record in leading large-scale AI initiatives.
Strong research background in neural networks.

Work Experience

EPAM Systems

Senior Delivery Manager, Head of CEE AI DM (2 yrs)

Delivery Manager, AI (2 yrs 7 mos)

Poznań University of Economics And Business

Assistant Professor (3 yrs 11 mos)

Research Assistant (11 mos)

Aigocracy Institute

Senior Data Scientist / Manager (1 yr 4 mos)

Santander Bank Polska

Senior Data Analyst / Data Scientist (1 yr 5 mos)

Starszy Informatyk ds. analizy biznesu (1 yr 2 mos)

Młodszy Informatyk ds. rozwoju oprogramowania (1 yr 8 mos)

Staż (5 mos)

Education

Doctor of Philosophy - PhD at Poznan University of Economics And Business

Master's degree with honours at Poznan University of Economics And Business

ERASMUS at Technological University Dublin

Bachelor's degree at Poznan University of Economics And Business

Marcin Szmydt

Director of Engineering

Poznań, Wielkopolskie, Poland10 yrs 3 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in Generative AI and AI transformation.
Proven track record in leading large-scale AI initiatives.
Strong research background in neural networks.

Stackforce AI infers this person is a SaaS and AI transformation leader with extensive experience in enterprise-level AI solutions.

Contact

Skills

Core Skills

Generative AiAi PlatformsData ScienceMlopsHigher Education TeachingResearch

Other Skills

AIAI ProductsAWSAWS BedrockAWS SageMakerAirflowCloudFormation/TerraformComputer VisionDatabricksEPAM AI DIALEdge Machine LearningIT Project & Program ManagementLangChainLarge Language Models (LLM)Leadership

About

Experience

Epam systems

2 roles

Senior Delivery Manager, Head of CEE AI DM

Promoted

Mar 2024 – Present · 2 yrs

Head of CEE AI Delivery Management. Focusing on Generative AI initiatives for C-level stakeholders. Participating in presales, practice growth, and delivering complex client engagements and program portfolios. Most recent engagement covered a role of:
Product Manager (of Data & AI Platform)
Description: Shaping the vision for the enterprise Data & AI Platform based on Databricks with 15+ GenAI Products on board in the space of Marketing, R&D, Finance, and Procurement. Working directly with C-level stakeholders. Making sure each new AI use case is developed faster and cheaper.
Team size: 30+ FTEs (Platform Team), 40+ FTEs (GenAI Product Development)
Major tech stack: Databricks (and all its AI components within MosaicAI: LLM Gateway, Genie, Vector Search, Agent Bricks, MLFlow, AI Playground, MCP servers, building RAGs), Azure, LangChain, OpenAI models.
Technical Program Manager
Description: Coordination of the deployment and further development of a unified Generative AI orchestration platform at scale (target of 40 000 internal users and dozens of GenAI applications with 500k+ of external users globally). Working directly with C-level stakeholders.
Team size: 60+ FTEs
Major tech stack: EPAM AI DIAL, AWS Bedrock, AWS SageMaker, Bedrock Guardails, LangChain, LlamaIndex, OpenSearch

AIGenerative AIIT Project & Program ManagementLarge Language Models (LLM)LeadershipRetrieval-Augmented Generation (RAG)+5

Delivery Manager, AI

Aug 2021 – Mar 2024 · 2 yrs 7 mos

Technical Delivery Manager focused on Data Science / AI / MLOps / Computer Vision initiatives. Managing complex client engagements and delivery portfolios. Few of the most recent engagements cover positions of:
Technical Program Manager
Description: Building Machine Learning Platform to accelerate innovation and AI-products development lead time reduction globally
Team size: 60+ FTEs
Major tech stack: AWS SageMaker, Databricks, Snowflake, Airflow, CloudFormation/Terraform, UnityCatalog, AWS Clarify, AWS Groundtruth
Responsibilities:
Defined platform strategy and success metrics with Engineering and Product teams. Managed quarterly planning (SAFE) and feedback intake from Data Scientists and ML Engineers, prioritizing needs for roadmap alignment. Provided updates to stakeholders and led platform adoption through bootcamps and user support.
Product Owner
Description: Building ML Platform while developing and onboarding strategic AI product
Team size: ~20 FTEs (Platform Development Team combined with the Product Development Team)
Major tech stack: GCP VertexAI, GCS, Kafka, Spark ML
Responsibilities: Defined platform and product vision, managing requirements and expectations, defining success metrics, presenting updates to executives, managing stakeholders, consulting technical team of Data Scientisis and ML Engineers
Project Coordinator
Description: EPAM GRAIN (https://www.epam.com/services/client-work/from-vision-to-reality-how-epam-developed-grain-an-ai-powered-device-and-platform).
Team size: ~10-15 FTEs (IoT Engineers, Data Scientists, and Software Developers)
Major tech stack: Edge Machine Learning, AWS, TensorFlow, PyTorch, NVIDIA AWS Greengrass, NVIDIA Jetson Nano, NVIDIA DeepStream SDK, AWS Kinesis, MQTT broker, Computer Vision models (e.g., YOLOv5-8)
Responsibilities: Defined product vision, coordinated cross-functional teams, managed end-to-end delivery, set success metrics, and maintained stakeholder communication, presales

IT Project & Program ManagementAIData ScienceMLOpsLeadershipTeam Management+1

Poznań university of economics and business

2 roles

Assistant Professor

Oct 2020 – Sep 2024 · 3 yrs 11 mos

Conducting research projects related to:
Personality-based recommender systems
Churn prediction
Big data stream processing
Anomaly detection
Seminars: Machine Learning in Business
Giving lectures:
Big Data (with machine learning components)
Designing Information Systems
Information Technology
Business Information Technology
Business Process Management
Participated in SIMMO2 (System for Intelligent Maritime Monitoring) project for European Defence Agency

Generative AIHigher Education TeachingUniversity LecturingResearchAI

Research Assistant

Oct 2019 – Sep 2020 · 11 mos

Aigocracy institute

Senior Data Scientist / Manager

Feb 2020 – Jun 2021 · 1 yr 4 mos · Poznań, Wielkopolskie, Poland

Both managerial and dev hands-on engineering activities: presales, project management, developing end-to-end data-driven products and solutions, strategic planning, being an informal company’s strategic board member, directly reporting to CEO, managing contacts with external customers, presenting final products and results to the external stakeholders and sponsors.

Santander bank polska

4 roles

Senior Data Analyst / Data Scientist

Apr 2018 – Sep 2019 · 1 yr 5 mos

Electronic banking large-scale data analytics, Customer behavior analytics, Electronic banking customer insights analytics, Identification of key behaviours that drive consumer acquisition, retention and engagement to enable decision making about electronic banking promotion campaigns, Automated reporting with data visualization (Tableau), Designed the first ML-based marketing campaigns for electronic banking promotion, Leading projects related to building predictive models in electronic banking campaigns, Data Engineering, Big Data and Hadoop solutions deployment, Big Data ETL processes designing and implementing, Promoted the efficient use of event-based near-real-time marketing campaigns related to electronic banking, Provided on-site education on technical tools and industry trends related to Big Data and Data Science, Participating in international projects, Training new and existing employees

Starszy Informatyk ds. analizy biznesu

Promoted

Jan 2017 – Mar 2018 · 1 yr 2 mos

Data-driven software engineering, Data Engineering, Data Analysis, Big Data and Hadoop solutions deployment for Internet and mobile banking data, ad-hoc reporting, ETL processes development, working with microservices data. Promoted the efficient use of enterprise logs data analytics clickstreams) to answer prospective business questions while fully automating cyclic reporting. Built predictive models for assessing the likelihood of customers being interested in a certain product. Created fully automated predictive model for recommending customers future bank transfers (e.g. to pay monthly bills) that covered NLP analysis for titles of transfers. Designed and implemented Hadoop storage for near-real time customer events based on log analytics. This project achieved a two-digit percentage increase in the effectiveness of campaigns using near-real-time events. Training new and existing employees.

Młodszy Informatyk ds. rozwoju oprogramowania

May 2015 – Jan 2017 · 1 yr 8 mos

Participating and conducting internal data warehouse projects and international projects, maintaining data warehouse metadata in the Oracle databases, automating reporting processes (Pentaho Data Integration, VBA), direct support for the data warehouse users, conducting data warehouse internal workshops for bank employees, conducting external workshops for consultants supporting the data warehouse ETL processes, conducting workshops for new employees in the area of bank data warehouse, creating basic predictive models for forecasting and ad-hoc reporting, training new employees