Aayush Mudgal

Lead ML Engineer

San Francisco, CA, United States13 yrs 5 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Over 10 years of experience in machine learning.
Co-authored publications in prestigious conferences.
Active angel investor and startup mentor.

Stackforce AI infers this person is a Machine Learning Engineer specializing in AdTech and Computer Vision.

Contact

aayush.mudgal@gmail.com LinkedIn

Skills

Core Skills

Machine LearningRecommender SystemsData AnalysisComputer Vision

Other Skills

AlgorithmsAnalyticsApache PigApache SparkArtificial IntelligenceBashC++Cascading Style Sheets (CSS)DjangoGNU OctaveGitHTMLHTML5HadoopJava

About

As a Staff Machine Learning Engineer at Pinterest, I lead the efforts on Privacy Aware Conversion Modeling, developing state-of-the-art solutions for measuring and optimizing the impact of ads on user behavior. I also have extensive experience in building and scaling recommender systems, video ads ranking, and landing page optimization for one of the world's largest visual discovery platforms. With over 10 years of combined research and industry experience in machine learning, computer vision, and natural language processing, I am passionate about solving challenging problems at the intersection of these fields. I have co-authored multiple publications in prestigious conferences, such as AAAI and SIGCSE, and received awards and fellowships for my academic excellence and outstanding performance. I am also an active angel investor and startup mentor, focusing on adtech and edtech domains.

Experience

13 yrs 5 mos

Total Experience

3 yrs 5 mos

Average Tenure

8 yrs 3 mos

Current Experience

Staff Machine Learning Engineer

Mar 2018 – Present · 8 yrs 3 mos · Palo Alto, California, United States

Spearheaded multiple product-driven, moonshot initiatives to advance personalization and recommendation systems in Ads Ranking in a Privacy Safe way.
Led several 0-to-1 and foundational projects, including large-scale recsys models, integrating VLLM/LLMs in recommendations, cross-domain learning, uncertainty quantification, privacy aware modeling and clean rooms.
Founding engineer for major efforts such as Conversion Optimization, Video Ads Ranking, Landing Page Optimization, and LLM-based Ranking.
Passionate about delivering measurable business impact through innovative machine learning architectures and fast, pragmatic execution.

TensorFlowRecommender SystemsC++PythonMachine LearningPrivacy Aware Modeling+2

Netflix

Computer Vision Research Assistant

May 2017 – Aug 2017 · 3 mos · San Francisco Bay Area

I led and started a project from scratch on automating quality checks using Computer Vision techniques.

Columbia university in the city of new york

Graduate Student Researcher

Aug 2016 – Dec 2017 · 1 yr 4 mos · Greater New York City Area

Graduate Researcher in Machine Learning and Natural Language Processing
CA for COMS W4111 Introduction to Databases - 2017 Spring
CA for COMS W4111 Introduction to Databases - 2016 Fall
Hold weekly office hours for lecture content explanation and assignment consultation
Grade course assignments and exams
Awarded CA Fellowship for exceptional work. Comes with a tuition waiver.

Carnegie mellon university

Summer Research Intern

May 2015 – Jul 2015 · 2 mos · Pittsburgh, Pennsylvania

Research Project under Prof. Ken Koedinger (Human Computer Interaction Institute) at Carnegie Mellon University, USA (May 2015 – July 2015 )
Helped in modifying the CloudCoder IDE. Worked along with the supervisors to improve their existing hint-generation system and contributed in parallelization of the space path construction.
Devised a novel algorithm to provide syntax hints for code that do not compile and thus covering all the more number of cases which were earlier uncovered by the system
Helped in broadening the system and making it suitable for the planned study in the fall semester at Carnegie Mellon University.

Indian institute of technology, kanpur

Undergraduate Student Researcher

Jul 2012 – May 2016 · 3 yrs 10 mos · Indian Institute of Technology Kanpur

Undergraduate Researcher in Machine Learning and Artificial Intelligence
Student Instructor for the course Fundamentals of Computing (ESC101), Fall 2015 and Spring 2016 offerings, at IIT Kanpur
Responsible for organizing weekly tutorials and problem-solving sessions.
Managing a class of over 35 students. and Assisting the Faculty Instructor (Prof. Nitin Saxena and Prof. Sunil Simon) in designing the course content as well as problems for labs and exams
As Academic Mentor (Counselling Service) Helped new students in adapting to the environment of the Institute. Mentored the assigned academically deficient students and provided them academic tutoring for various courses on individual basis