Gilad Armon Email & Phone Number

Tel Aviv-Yafo, Tel Aviv District, Israel

• Lead several teams to advance capabilities in computer vision and natural language processing (NLP).
• My role includes overseeing efforts in recognizing products from images and text, enabling the detection of similar products, and providing AI-based recommendations based on user behavior.
• Key achievements encompass transitioning from Caffe to PyTorch, streamlining model development processes, optimizing business operations, and introducing Generative AI technologies.
• My work involves driving innovation, enhancing efficiency, and achieving measurable improvements to maintain Syte's position at the forefront of technological advancements.

• Established a group of data professionals in Data Science, Data analysis, BI, and Data Engineering.
• Leveraging AI (NLP, Regression, and Classification) to completely automate account and prospect research by creating a data-driven, autonomous process.
• Evaluate and integrate with multiple data sources and infrastructure providers

• built Data Science Guild for all the data scientists out of 3 different teams. Migrated the group from using Java to Python and from on-premise infrastructure to AWS-Sagemaker
• Introduced and implemented algorithms which use ​ deep learning ​ and ​ gradient boosting ​ into the production environment
• Managed the data scientists group, recruited additional data scientists (extended the group from 6 to 17 data scientists), retained the team and help individuals to grow and develop their careerpath

• lead the ‘research social team’ including development and ​ data science​ (Java)
• built a new novel algorithm for optimizing our customer’s activities by setting the right bid and budget for each part of the activity in Facebook
• Built a generic optimizer for marginal revenue problems

• built a real-time (RTB) algorithm for optimizing our customers’ profit
• built a dynamic multi-touch attribution model for marketing purpose

• built, maintained and improved the company’s algorithms.
• built from scratch an in-house classifier/regression (patent issued) which is still being used in production and manages ~$6 billion advertising spend on an annualized basis

• ​ AI Researcher within the AI team (C++).
• Developed AI technologies which were integrated into defense products.
• Integrated novel technologies from multiple external companies
• Main topics: autonomous robots/agents, multi-agent systems, decision making, teamwork,optimization problems, machine learning)

collaboration research between industry and academy - build a virtual albumapplication in a shared activity of multi-agents (C++, Python)

develop a combat drone as a university final first-degree project (C++)

Master Of Science - Ms, Computer Science

Specialization in AI, Thesis (“Supporting Collaborative Activity”) in the field of Multi-agents System Advisor: Prof. Gal Kaminka, Prof..

Bachelor Of Science - Bs, Computer Science, 95 (Magna Cum)