Robert Torres

Robert Torres Innovative AI Engineer with a proven track record of delivering impactful solutions at Microsoft. Skilled in machine learning, deep learning, and product management. EXPERIENCE 117 Alverson RD San Diego, CA, 92173 -- SKILLS ​ Microsoft, Redmond, WA — AI Engineer Machine Learning: TensorFlow, PyTorch, September 2020 - PRESENT Scikit-learn Developed and deployed advanced AI models for [specific Microsoft ​ products or services, e.g., Bing Search, Azure Cognitive Services]. Deep Learning: Neural Networks, Collaborated with cross-functional teams to identify opportunities for Computer Vision, AI-driven solutions. Natural Language Processing Optimized model performance and ensured scalability and reliability. ​ Conducted rigorous experimentation and A/B testing to validate model Programming Languages: Python, effectiveness. C++, SQL Stayed up-to-date with the latest advancements in AI research and ​ industry trends. Cloud Platforms: Azure ​ MLOps: MLflow, Kubeflow Microsoft, Redmond, WA — AI product Manager ​ September 2017- August 2020 Data Engineering: ETL pipelines, data Led the development and launch of innovative AI products, such as warehousing [specific product names]. ​ Defined product vision, strategy, and roadmap. Product Management: Agile Collaborated with engineering teams to translate product requirements methodologies, user into technical specifications. research, product roadmaps Conducted user research and market analysis to inform product decisions. Managed product lifecycle, including feature prioritization, release ​ planning, and post-launch analysis. AWARDS High GPA in computer EDUCATION science courses (e.g., 3.8/4.0) Developed a recommendation University of california, San Diego — Doctor of Philosophy (PhD) in Computer Science system using collaborative September 2020- December 2023 factorization techniques Dissertation: Advancing the State-of-the-Art in [Specific Research Area, Implemented a computer filtering and matrix e.g., Natural Language Understanding, Computer Vision] through vision application for object [Innovative Technique or Approach] detection using deep learning Research Areas: Machine Learning, Deep Learning, [Specific Subfields] Academic Achievements: ● Published papers in top-tier conferences (e.g., NeurIPS, ICML, CVPR) ● Received [Specific Awards or Fellowships, e.g., Microsoft Research models like YOLOv8 Interned at Google and Meta, where I gained experience in: ● implementing Fellowship, Google PhD Fellowship] ● Designing and large-scale machine Presented research work at international workshops and seminars learning pipelines ● Conducting research in natural language University of california, San Diego — Bachelor of Science in Computer Science September 2016- May 2020 Relevant Coursework: Machine Learning, Artificial Intelligence, Data Structures and Algorithms, Computer Vision, Natural Language Processing processing and reinforcement learning ● Deploying AI models to production environments