The people behind your learning

With over 10 years of experience in data science, data engineering and AI, Adomas helps learners build practical, real-world skills. He currently works on a customer service system spanning both ESO and Ignitis, with the potential to reach up to 2 million customers across Lithuania. Since 2020, he has mentored over 100 Turing College students in Data Science, Data Engineering and Data Analytics.

After completing a PhD in Astrophysics in 2018, Algimantas transitioned into data science and now works at IBM’s Client Innovation Center. His focus areas are natural language processing and large language models, and his work has led to both scientific publications and a US patent in machine learning. Learners at Turing College benefit from his blend of research depth and applied industry experience, especially in NLP and AI innovation.

With more than 15 years of experience in machine learning and AI, Andrius has worked on projects ranging from computer vision and deep learning to fraud detection and large language models. At Vinted, he develops algorithms that protect the platform from malicious threats and ensure a safe experience for millions of users. Learners at Turing College benefit from his deep technical expertise and his passion for mentoring the next generation of data scientists.

Augustinas is a Senior Data Engineer at the Scandinavian telecom company Telia. With over 8 years of Python experience and previous roles at Gjensidige, PwC, Ignitis, and other leading companies, he has worked across data and software engineering. At Turing College, he emphasises project structure, code readability, and quality, helping learners develop the habits of writing clean, reliable, and professional code.

Dominykas brings over four years of analytics experience, including building data models, dashboards and reporting pipelines at CoinGate and Danske Bank. Having studied data analytics at Turing College himself, he now helps learners develop their SQL and Tableau skills through project reviews, group discussions and open sessions. His guidance draws on experience turning raw data into reports that teams use in their daily work.

Erikas brings over five years of experience at Vinted, alongside earlier work applying computer vision and machine learning to laser research. He holds a master’s degree in mathematical engineering from KU Leuven and has taught data science at CodeAcademy. As a Data Science Senior Team Lead at Turing College, he supports learners with a perspective shaped by mathematical theory, scientific research and industry practice.

Evaldas brings over four years of data analytics and business intelligence experience, including a Senior Data Analyst role at ESO. He holds a PhD in biochemistry and moved into analytics after working in scientific research and biotechnology. At Turing College, he supports Data Analytics learners with SQL and Power BI, drawing on his experience across research and business.

Gabija moved into programming after more than 15 years in purchasing and logistics, where she analysed prices, managed suppliers and helped develop software for business needs. She studied data science at Turing College and became a Junior Team Lead during her studies. She brings a former learner’s perspective and experience connecting analytical work with business decisions to her support for Data Science learners.

Gediminas brings 12+ years of analytics and data science experience across difference industries including Market Research, Retail, Energy Markets, Online Marketing, FinTech, Startups and E-commerce. At Turing College he was one of the programme creators for Data Analytics programme. He also carries out project reviews and mock interviews for students, helping them connect theory with real-world practices and improve their chances of getting hired as data analysts.

Gedmantas brings over five years of experience working with data across logistics, oil and manufacturing. At Continental, he builds forecasting models and automates operational tasks. With a background in applied mathematics, he draws on his industry work to help Turing College learners approach data problems and put mathematical concepts into practice.

Gintautas brings over 20 years of experience across business, technology and leadership, including serving as CEO of Paysera and leading public sector digital services. At Sitezem lab, he advises organisations on using data and implementing AI. At Turing College, he teaches learners to apply data analytics and AI in business, drawing on his experience improving processes, evaluating technology investments and managing risk.

With 15 years of experience in analytics and data science, Indre now works as a Data Scientist at Euromonitor International, a global leader in market research. There, she develops custom AI solutions. At Turing College, Indre shares her expertise through project reviews, giving learners practical insights and helping shape the programme by actively listening to their feedback.

Jochen brings decades of experience in software engineering, architecture and leading development teams. At Agentic Works, he designs self-hosted AI agent systems. At Turing College, he helps learners understand what it takes to move from an AI demo to an agent workflow that works reliably, drawing on his experience building and maintaining software for business use.

Jokūbas brings over five years of data science experience at Vinted, alongside a background in product management and teaching SQL and Python. As a Data Science Senior Team Lead at Turing College, he supports learners with experience spanning business needs, product analytics and programming. His earlier work training customers and teaching beginners also informs how he explains technical concepts.

Jūratė brings over 15 years of experience in data and analytics, including work on image recognition and spam detection at Vinted. She holds a PhD in mathematics and previously taught statistics at Vilnius University. As an AI Engineering Senior Team Lead at Turing College, she reviews learner projects, drawing on her teaching experience and work implementing and monitoring machine learning models.

Justinas brings experience in software engineering and data science, with projects ranging from analysing cardiac ultrasound images to extracting information from documents and building intelligent search tools. He holds a master’s degree in applied mathematics. At Turing College, he supports learners drawing on his experience applying AI to specific business and public sector tasks, including work at Hyarchis, TeleSoftas and Auckland Council.

With a strong background in econometrics and a career spanning data roles in consultancy, gaming, and telecom, Kristijonas now leads AI initiatives at Telia. His recent work includes building generative AI tools and shaping the company’s long-term GenAI roadmap. At Turing College, he mentors learners on bridging theory with industry practice, drawing on experience that ranges from marketing analytics to cutting-edge AI development.

Kristina brings over five years of analytics experience across biotechnology, fintech and VPN infrastructure. At Turing College, she supports learners through live consultations, project reviews and mentoring, drawing on her industry experience to help them work through data problems and develop their projects.

Laura brings over five years of data analytics experience across marketing and energy. At ESO, she builds data pipelines and reports that support decisions about the electricity distribution network. At Turing College, she reviews learner projects and provides technical guidance, drawing on her experience translating business questions into analytical tools. Having moved from marketing into analytics herself, she also understands what it takes to learn a new field.

Laurynas brings over 12 years of experience in data, including leading a business and finance analytics team. At Vinted, he builds search and recommendation systems, taking them from prototype to production and testing their effectiveness through A/B experiments. At Turing College, he helps learners connect business questions to data science methods, drawing on his experience building and evaluating systems used across multiple markets.

With over 7 years of experience in analytics and data science, Lina has worked across retail, logistics, and public sector projects. At Centric, she progressed from Data Scientist to Team Lead, where she now manages the Data & AI team, supports project delivery, and drives OKR-based planning. She has also expanded her expertise with AI Ethics studies at Turing College. Her experience ranges from theft prevention models to process mining and OCR automation, giving learners clear, practical insights into both technical solutions and effective teamwork.

Luca is a backend engineer specialising in cloud infrastructure and payments at Danske Bank, where he works with technologies like Kubernetes, Kafka, and Spring Boot to support critical banking services. Before moving into software engineering, he built his career in leadership and client-facing roles, experience that helps him bridge technical solutions with business needs. At Turing College, he mentors learners in software & AI engineering, drawing on both his technical expertise and his passion for helping others grow.

Having 5 years of experience in software engineering and AI, Lukas helps learners apply concepts directly to real-world challenges. At Spike Technologies, he builds voice agents, the same type of systems explored in the AI Engineering programme. Holding a master’s in machine learning from the University of Cambridge, Lukas brings together cutting-edge research and hands-on industry experience to mentoring at Turing College.

With over 8 years of experience in the field, Mantas has been working with a wide variety of data science problems and is currently leading data science projects at Cast AI. At Turing College, he guides learners through stand-ups and project reviews, helping them connect theory with real-world practice.

Marius brings experience building AI agents and predictive models at OBDeleven and Surfshark. His work includes a customer support AI agent with automated testing and tools for monitoring its behaviour. At Turing College, he mentors AI Engineering learners and develops learning content, drawing on these projects and his experience teaching Python and data science.

With over a decade of experience in analytics and data science, Marius has worked across retail, real estate, consultancy, and banking. At Turing College, he guides learners through stand-ups and project reviews, helping them connect theory with real-world practice.

With experience spanning molecular biology research and data science, Matas brings a unique mix of scientific rigour and technical expertise to his role. At Nord Security, he works on building data pipelines with Airflow and DBT and automating processes with Python. He started his own journey in data at Turing College, and now mentors learners by providing practical, detailed feedback rooted in real-world industry work.

Nadia brings experience in data science and AI across healthcare, biotechnology and research. Her work includes analysing clinical data and building models to predict healthcare outcomes. She holds a master’s degree in data science and bioinformatics from the University of Southern California and has advised Turing College on data analytics and AI projects.

Oleg brings over 20 years of software development experience, including roles at Apple and Salesforce.org. His work spans web applications, machine learning deployment and AI agents. As an AI Engineering Senior Team Lead at Turing College, he supports learners with a perspective shaped by building, testing and maintaining software, as well as mentoring engineers on experimental machine learning projects.

Ovidijus brings over five years of machine learning engineering experience, including roles at Granta Autonomy, Leya AI and Oxus.AI. Before moving into the field, he served for over a decade in the Lithuanian Armed Forces and studied data science at Turing College. Now an AI Engineering Senior Team Lead, he supports learners with experience of both changing careers and working in machine learning teams.

Paulina brings over three years of analytics experience to helping learners develop their SQL and data visualisation skills. At CyberCare, she also uses AI in her work. At Turing College, she draws on that experience to connect mentoring with the analytical tasks learners will encounter at work.

Raminta brings over six years of machine learning engineering experience and has mentored Turing College learners since 2020. With degrees in computer science and philosophy, she combines a technical background with experience supporting people as they learn. Outside work, she practises flow arts and has taught historical European martial arts.

Stefano builds AI systems at SEB, including tools that route emails, generate credit risk reports and explain suspicious transaction alerts. He holds a PhD in mathematics from the University of Tartu. At Turing College, he supports experienced developers moving into data science and AI engineering through one-to-one project reviews, drawing on his experience taking AI projects from pilot to production.

Tahreem is an Applied AI Architect and Tech Lead with around eight years of experience building AI products across healthcare, workplace safety and mineral royalties. She turns business needs into AI systems and leads their design, development and code reviews. A Google Developer Expert in AI, she helps Turing College learners build and evaluate AI systems through live sessions, project reviews and mentoring.

Tomas is a Data Analytics Specialist at Continental with 3 years of hands-on experience in data analysis, plus a background in QA and IoT systems. Known for his unorthodox problem-solving and system design skills, he helps learners at Turing College by translating complex technical concepts into clear, practical insights. His goal is to make data approachable while encouraging learners to dive deeper into the field.

Tomas holds a double MSc in Data Science and has built his career across fintech, e-commerce, and consulting. Now leading data science and analytics at Vinted Go, he focuses on decision science and applied machine learning. Earlier in his career, he co-founded a web development agency and contributed to open-source tools, experience that keeps him close to the engineering side of data science. At Turing College, he helps learners strengthen both their technical foundations and their ability to apply data science to real-world problems.

Vaiva has 5 years of experience in data science and leads a team of quantitative analysts at Danske Bank. Her work spans market data, risk evaluation, and portfolio pricing. Having hired multiple Turing College graduates herself, she shows learners how data science opens diverse career paths, including becoming a quant, and provides feedback that focuses on the improvements that matter most in industry.

Vytautas is a Senior Data Scientist at IBM with 8+ years of experience in data science and analytics. His expertise spans GenAI, multi-agent systems, statistics, and automation, and his work has supported international clients in the UAE, Switzerland, and the UK. Holding a PhD in Urban Engineering, he has published scientific research and even a US patent in machine learning. At Turing College, Vytautas brings this blend of academic rigour and real-world impact to mentoring, helping learners turn complex ideas into practical skills.

With several years of experience in software engineering and data, Vytautas develops internal tools, data pipelines, and APIs that power Nord Security’s marketing and growth teams. He brings this hands-on expertise to Turing College, where learners receive detailed project feedback and guidance rooted in real industry practice.

Žygimantas has over 11 years of web development experience, including six years in AI engineering. He helps start-ups build with computer vision, classification models and large language models, which he has worked with since GPT-2. As an agency co-founder, he has built products across finance, solar energy, blockchain and healthcare.