Sunny Dhamnani

Software Engineer

Menlo Park, California, United States6 yrs 7 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in machine learning frameworks and optimization.
Published multiple research papers and filed patents.
Strong background in data science and anomaly detection.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in Social Media and Software industries.

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Skills

Core Skills

Machine LearningSoftware EngineeringData ScienceResearch

Other Skills

Framework DevelopmentAds RankingPerformance OptimizationSelf-Supervised LearningMultimodal FrameworkVideo RecommendationsUnsupervised LearningAnomaly DetectionTime Series AnalysisMachine Learning ResearchCausal InferenceInterpretable ModelsAlgorithmsDeep LearningArtificial Intelligence (AI)

About

Hi :), I'm currenlty a Software Engineer at Meta. I am passionate about creating technologies and creating impact. I love solving puzzles. I enjoy answering questions and questioning answers :)

Experience

6 yrs 7 mos

Total Experience

2 yrs 2 mos

Average Tenure

4 yrs 2 mos

Current Experience

Facebook

2 roles

Software Engineer Intern

May 2021 – Aug 2021 · 3 mos · Seattle, Washington, United States

Member of Facebook NewsFeed ML team.
Built self supervised learning framework for Facebook video recommendations system.
Developed multimodal training and inference framework for using signals from audio, video and text modalities.

Self-Supervised LearningMultimodal FrameworkVideo RecommendationsMachine LearningSoftware Engineering

Research Intern

May 2020 – Aug 2020 · 3 mos · Menlo Park, California, United States

Member of the Core Data Science team.
Created an unsupervised learning framework to identify anomalies in time series.
The framework was applied to detect compromised accounts and identify topic shifts in pages.

Unsupervised LearningAnomaly DetectionTime Series AnalysisData ScienceMachine Learning

Adobe

Machine Learning Research Engineer

Jun 2017 – Aug 2019 · 2 yrs 2 mos · Bengaluru Area, India

Member of Adobe Research.
Published 4 research papers and filed 6 patents with USPTO.
Created a one-class learning framework for non-human traffic identification on Adobe Analytics Cloud and Adobe Advertising Cloud.
Worked on applications of causal inference to estimate the effect of marketing strategies.
Experience in creating interpretable machine learning models.

Machine Learning ResearchCausal InferenceInterpretable ModelsMachine LearningResearch