Faraz Waseem
Backend EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Machine learning Leader, Educator and Visionary
Results-driven Senior Data Science and Machine Learning Manager with over 22+ years of experience in machine learning platform architecture, deep learning, and big data analytics. Proven track record in leading teams of data scientists and machine learning engineers to develop innovative solutions across various domains. Expertise in generative A.I, LLM, feature engineering, predictive modeling, explainable AI, and ML lifecycle management. Passionate about building scalable machine learning systems with a focus on explainability and ML Ops architecture. Specialties: Machine learning architecture, GPT and generative A.I, Auto ML and feature engineering, Explainable A.I , distributed systems, pytorch, Python, Scala, big data(spark), noSQL databases(Cassandra), kafka, Kubernetes, micro-services, computer vision and machine learning models.
Stanford University
post graduate studies., Artificial Intelligence and machine learning
January 1, 2018 – Present
University of Washington
post graduate studies, Natural language processing
January 1, 2012 – Present
Boston University
MS, Computer science
January 1, 2003 – January 1, 2005
Hamdard University
Masters in information technology
N/A – Present
NED University of Engineering and Technology
Electrical Engineering
N/A – Present
United Airlines
Principal Gen AI Architect
February 1, 2025 – Present
San Francisco Bay Area · Remote
Edgio/Yahoo
Senior manager data science and machine learning
June 1, 2022 – December 1, 2024
Santa Monica, California, United States · Remote
Yahoo
Senior principal data scientist
June 1, 2018 – June 1, 2022
Sunnyvale Ca
Verizon Big Data & A.I Labs
Distinguished Machine learning Engineer
December 1, 2015 – May 1, 2018
Palo Alto Ca
Intuit
Integration team lead /Big Data engineer
January 1, 2011 – December 1, 2015
Medtronic
Principal Software Engineer
January 1, 2009 – December 1, 2010
Pitney Bowes
Senior Software Engineer
August 1, 2008 – January 1, 2009
IBM
Advisory Software Engineer
January 1, 2007 – August 1, 2008
Putnam Investment
Senior Consultant
January 1, 2006 – January 1, 2007
Verizon
Software engineer
March 1, 2003 – December 1, 2005
Sequence Models
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across various industries (airlines, ad-tech, finance, healthcare) and roles (engineer, architect, data scientist, manager) demonstrates adaptability and a broad perspective. Their continuous pursuit of education in cutting-edge AI/ML fields indicates a strong commitment to learning and staying current with industry trends, which aligns well with a culture of innovation. The focus on building robust, scalable, and secure systems suggests a pragmatic and quality-conscious approach.
Soft Skills & Operational Fit
The candidate's extensive experience in leading teams and architecting complex systems suggests strong leadership, problem-solving, and strategic thinking abilities. Their work on enterprise-level AI initiatives indicates a capacity for driving innovation and managing large-scale projects. The descriptions imply a results-oriented approach, focusing on performance improvements and cost reductions.