- Oversaw all AI initiatives and led the AI Team.- Engaged in entire sales cycles, from initial contact through building AI roadmaps and conceptualizing AI solutions to closing deals.- Provided business-focused AI consulting across various domains, including generative AI, LLMs, computer vision, and NLP projects.- Built and optimized processes in a software house environment, encompassing recruitment, project and knowledge management, resource allocation, team leadership, and delivery of solutions to end clients.

At Alfred, we are disrupting the way in which Sales Reps are making notes and logging information by capturing all their calls and emails, finding relevant insights, and automatically syncing them with their CRM.Alfred is for your CRM what Alfred is for Batman.

- Started Inspectra to fight with inefficiencies within the food safety and quality using advanced imaging techniques and machine learning.

- Joined the world’s leading talent investor to set up my own company. This is where Inspectra was started. More info: joinef.com

- Contributed to designing, implementing, and optimizing deep learning models and pipelines for new AI features in the TCL gallery app (from the idea stage to, MVP, and commercialization phase).- Successfully used generative adversarial networks, custom architectures, and loss functions to produce the state of the art results in inpainting task and remove artifacts of previous approaches. The solution is now globally deployed on TCL smartphones.- Led small research project and conceptualized product roadmap for new TCL gallery app feature. The combination of standard computer vision algorithms (e.g. optical flow) and deep learning was used to build an MVP and ensure memory, accuracy, and near to real-time latency requirements. - Created technical and UX product roadmap taking into account both technical limitations and end-user experience.

- Leading R&D project (10-13 people)- Improved data annotation processes by introducing custom annotation tools and rule-based annotation which led to a significant reduction in annotation time 40% and costs by at least 20%.- Awarded internally for patent application.- Managed timelines, roadmaps, budget and milestones of subprojects- Cooperated closely with HQ stakeholders

- Leading part of NLP R&D project.- Designing and developing deep learning models. - Implementing NLP pipelines.- Implementing data processing and analysis in cloud computing environments.- Mentoring and recruitment