About Slawomir Jasinski
SLAWOMIR (Slav) JASINSKI
EXPERTISE
Forward-thinking Solutions Architect specializing in seamless cloud migration. With experience working on 3 continents, he expertly leads client infrastructure transitions to the cloud, optimizing systems for peak performance and security. His work in deploying recommendation systems for major European media brands demonstrates his ability to scope tailored solutions and streamline processes for enhanced delivery.
With a rich background in software development, Slawomir excels across a range of digital technologies. His work with top Australian brands like Commonwealth Bank , American Express , Skoda and Telstra , alongside European brands such as MAN Trucks, JYSK, underscores his capability to tackle unconventional challenges and drive innovation.
Renowned for his problem-solving skills and technical acumen, Slawomir thrives in the evolving technology landscape. His commitment to excellence and passion for digital transformation ensure sustainable, forward-thinking solutions that exceed client expectations.
QUALIFICATIONS
Slawomir has a Bachelor degree in Marketing and Management from the College of Management and Finance in Wroclaw, Poland. His education is supported by eighteen years experience in the digital industry on broad range roles.
So if you want to use this experience, please use this form to contact .
AI Expertise
- Prompt Engineering for ChatGPT Developed and optimized conversational prompts to enhance user engagement and improve the performance of ChatGPT models in customer service applications.
- Generative AI with Large Language Models Worked on projects involving text generation, summarization, and translation using state-of-the-art language models like GPT-3 and BERT.
- Machine Learning Techniques Implemented various NLP and machine learning techniques such as sentiment analysis, text classification, and clustering algorithms for diverse business applications.
- AWS Bedrock Experience Utilized AWS Bedrock for scalable machine learning solutions, focusing on data engineering, model training, and deployment in a cloud-based environment.
- Self-Hosted AI Models for Data Processing Built and deployed self-hosted machine learning models for real-time data processing, including data cleaning, transformation, and feature extraction.
- Cross-Disciplinary AI Applications Collaborated with teams across different domains to integrate AI solutions into existing systems, enhancing efficiency and automating manual processes.
Certificates
AI
- AI For Business - Dec 2023
GO
- Programming with Google Go Specialization - University of California, Irvine - July 2022
AWS
- AWS Certified Solutions Architect - Associate
- Containerized Applications on AWS Aug 2023
- Introduction to Machine Learning on AWS Aug 2023
- Amazon Web Services AWS Cloud Solutions Architect Specialization Mar 2023
- AWS Fundamentals: Addressing Security Risk May 2022
- AWS Fundamentals: Migrating to the Cloud February 2022
- Introduction to AWS Identity and Access Management Jan 2023
Kubernetes
- Kubernetes: Create Multi-App Cluster with Ingress & Logging April 2022
- Kubernetes: Basic Architecture and First Deployment April 2022
Soft
- Relationship Management - Rice University - July 2022
- Project Initiation: Starting a Successful Project - Google - July 2022
- Foundations of Project Management - Google - June 2022
- Communication Strategies for a Virtual Age - University of Toronto - April 2022