Hey there! My name is Sana, and I'm an ML Engineer at Meta AI Solutions and Automation. I earned my MS in Machine Learning from Carnegie Mellon University, where I also graduated with my BS Statistics and Machine Learning. My skills include proficiency in R, SQL, and Python with a focus on graph-based machine learning and generative AI.
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Research ScientistMetaSan Francisco, Ca, Us
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Machine Learning EngineerMetaSan Francisco, Ca, Us
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Software Engineer, Machine LearningMeta Sep 2022 - PresentMenlo Park, Ca, UsIntegrity Generation @ AI Solutions and Automation Engineering team (October 2024-present)GenAI Defend @ AI Integrity Engineering team (May 2023-October 2024)Entity Understanding @ AI Integrity Engineering team (October 2022-June 2023)
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Ml Research AssistantCmu Auton Lab Aug 2019 - Aug 2022Pittsburgh, Pa, UsTime Series Anomaly Detection/Predictive Maintenance (August 2021- August 2022)- Built an anomaly detection pipeline using stacked multilayer perceptrons to capture contextual anomalies in 17 sensors on a Mars Rover (Curiosity)Data Programming/Predictive Maintenance (August 2020- May 2021)- Built a weakly supervised data labeling pipeline for fault detection on the International Space Station’s activity and maintenance blog (about 12,000 posts)- Presented fault detection results for the ISS Environment Control and Life Support System (ECLSS) in a report to NASADeep Learning/Predictive Maintenance (August 2019- May 2020)- Incorporated LSTM, ARIMA, and Gaussian Mixture Models in an experimental pipeline to forecast remaining useful life and detect engine failures for Army helicopters -
Teaching AssistantCarnegie Mellon University Jan 2018 - Aug 2022Pittsburgh, Pa, Us- Led regular recitation sessions, office hours, and review sessions (20-500 students). Topics include basic data analysis, programming in R and Python, machine learning, and advanced statistical network analysis.- Courses include Statistical Analysis of Networks (36-311), Introduction to Machine Learning (10-601), Statistical Computing (36-350) and Reasoning with Data (36-200)- Head TA for Introduction to Machine Learning (10-601) -
Research AssistantCarnegie Mellon University Sep 2017 - May 2019Pittsburgh, Pa, Us- Produced clean, usable data (30,000 observations) on employee sales incentive programs from Fortune 500 firms- Built regression discontinuity models using R to measure effects of professional superiors on employee sales targets
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Research Scientist InternAdventium Labs Jun 2021 - Aug 2021Minneapolis, Minnesota, Us- Designed improvements for a faulty aircraft mission system prototype to a new model that passes 100% of MILS (Multiple Independent Levels of Security) standards- Built AADL (Architecture Analysis and Design Language) models to reflect iterative model improvements and test MILS compliance- Presented new models, software prototypes and test results to other engineers and project leaders for future use -
Software Engineer InternCapital One Jun 2020 - Aug 2020Mclean, Va, Us- Developed an internal Agile task management tool using Angular and Spring/Java for 27 teams in Card Tech Fraud group- Led the design process and the full-stack build of the main user interface, security, and alerting system -
Software Engineer InternLockheed Martin May 2019 - Aug 2019Bethesda, Md, Us- Cleaned, normalized, and analyzed human-generated data for process and systems engineering purposes- Analyzed impacts of various strategies on aircraft delivery and performance using clustering, NLP, t-SNE- Contributed an iterative agglomerative clustering implementation to Lockheed Martin’s internal code base
Sana Lakdawala Education Details
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Carnegie Mellon UniversityMachine Learning -
Carnegie Mellon UniversityStatistics And Machine Learning
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Walton High SchoolHigh School
Frequently Asked Questions about Sana Lakdawala
What company does Sana Lakdawala work for?
Sana Lakdawala works for Meta
What is Sana Lakdawala's role at the current company?
Sana Lakdawala's current role is Research Scientist.
What schools did Sana Lakdawala attend?
Sana Lakdawala attended Carnegie Mellon University, Carnegie Mellon University, Walton High School.
Who are Sana Lakdawala's colleagues?
Sana Lakdawala's colleagues are Kristy Jost, Ph.d., Clayton Andrews, Akshya Pradhan, مهدی علیزاده, Meral Taş, Maayan Sarig, Catherine Feightner.
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