Mahak Goindani

Machine Learning Engineer

San Francisco, California, United States9 yrs 10 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

PhD in Reinforcement Learning from Purdue University.
Led high-impact ML features at Apple.
Named inventor on multiple U.S. patents.

Stackforce AI infers this person is a Machine Learning and AI expert with a focus on product strategy and user experience.

Contact

mahakgoindani@gmail.com LinkedIn

Skills

Core Skills

Machine LearningProduct StrategyDeep LearningNatural Language ProcessingSoftware EngineeringRecommender Systems

Other Skills

A/B TestingAlgorithmsArtificial IntelligenceBig DataCC++CSSCascading Style Sheets (CSS)Causal InferenceCodeBlocksCollaborative FilteringCommunicationComputer ScienceContent Management Systems (CMS)Data Analysis

About

Hi, I’m Mahak — GenAI & RL Leader with a PhD in Reinforcement Learning (Purdue CS). - Design learning systems that generalize (RL, multi-agent) and take them from prototype to production with rigorous evaluation, calibration, and observability. - Lead LLM post-training (SFT, LoRA, RLHF) and large-scale training/eval across cloud and edge/on-device. - Skilled at defining and launching user-facing ML features with LLMs and Generative AI, driving model behavior evaluation and safety across platforms. - Expertise in shaping product strategy, leading cross-functional projects, and delivering measurable impact. - Named inventor on multiple U.S. patents.

Experience

9 yrs 10 mos

Total Experience

2 yrs 8 mos

Average Tenure

6 yrs

Current Experience

Apple

2 roles

Sr. Machine Learning Scientist, Tech Lead

Dec 2020 – Present · 5 yrs 6 mos · Cupertino, California, United States

→ Product & ML Lead for features powered by LLMs and on-device intelligence across iOS, visionOS, and watchOS.
Led the HoldAssist feature end-to-end from development to WWDC25 launch, a flagship iOS 26 feature that allows iPhone to wait on hold on behalf of users.
Defined and drove product roadmap for ML-powered user experiences — aligning model capabilities with user needs, privacy goals, and hardware constraints.
Shipped multiple high-impact features leveraging LLMs, RAG, and personalized ML models; reduced latency & power drain, and increased user engagement across platforms.
Developed model behavior evaluation strategies to ensure safety, usability, and consistency under diverse inputs and environments.
Designed A/B experiments and custom metrics to evaluate model alignment with real-world usage patterns; directly influenced feature launch decisions.
Collaborated cross-functionally with product managers, designers, and researchers to translate product vision into scalable, ML-backed features.
Co-authored various patents in context-aware ML systems, model behavior tuning, and personalized private networking — demonstrating innovation with product impact.

Machine LearningArtificial IntelligenceSoftware EngineeringProject ManagementTechnical LeadershipProduct Strategy

Machine Learning Intern, Ph.D.

Jan 2020 – Jul 2020 · 6 mos · Cupertino, California, United States

End-to-end development & deployment of predictive models to optimize performance of Apple products
Thermal pressure prediction and mitigation [U.S. Patent: US11656664B2]
Throughput prediction for optimized selection of audio/video streaming content for users

Machine LearningData MiningSoftware EngineeringDeep LearningArtificial Intelligence

Microsoft

Data Scientist Intern, Ph.D.

May 2018 – Aug 2018 · 3 mos · Greater Seattle Area

Microsoft Knowledge and Growth, Universal Store Group (Cloud + AI).
Designed Generative Adversarial Nets (GAN) to facilitate unbiased assessment of the Causal Impact of Microsoft Rewards program on the Revenue.

Deep LearningArtificial IntelligenceCausal InferencePyTorchSQL

Careerbuilder

Data Scientist Intern, Ph.D.

May 2017 – Aug 2017 · 3 mos · Greater Atlanta Area

Built a classification system to predict the industry of an employer by leveraging relationships between job postings, employer names and employer industry.
Used Machine Learning Techniques to automatically detect inconsistencies, and normalize entities in the huge employer knowledge base of the company.
Defined new utility metrics to measure the usefulness of the ML systems.
Published in 2017 IEEE International Conference on Data Mining Workshops (ICDMW).

Machine LearningNatural Language ProcessingInformation RetrievalData MiningPython

Purdue computer science

2 roles

Graduate Research And Teaching Assistant

Aug 2016 – Dec 2020 · 4 yrs 4 mos · West Lafayette, Indiana, United States

Research: Social Reinforcement Learning
Teaching: Graduate Data Mining, Data Science, Data Mining & Machine Learning, Data Engineering, Foundations of Decision Making, Web Information Search and Management
My Experience featured at Purdue CS: https://www.cs.purdue.edu/stories/mahal_goindoni.html

Graduate Research Intern

Jun 2015 – Jul 2015 · 1 mo · West Lafayette, Indiana, United States

Worked with the Natural Language Processing Group in the Department of Computer Science.

Natural Language ProcessingResearch SkillsPresentation SkillsCommunicationPython

Microsoft

Software Engineer Intern

May 2014 – Jul 2014 · 2 mos · Hyderabad Area, India

Designed AI Algorithm for BattleShip Game, and deployed on Microsoft's Gesture Recognition Device.
Developed tools to facilitate Power BI (Business Intelligence)

Software EngineeringData MiningC++Visual StudioPresentation Skills

Impetus

Intern

Jun 2013 – Jul 2013 · 1 mo · Indore Area, India

Designed and customized a Content Management System (CMS) using MOODLE (Modular Object Oriented Dynamic Learning Environment) framework.

Content Management Systems (CMS)Information TechnologySoftware EngineeringDesignPresentation Skills

Retailreco

Intern

May 2013 – May 2013 · 0 mo · Indore Area, India

Studied different recommender systems. Used MongoDB sharded clusters architecture for highly scalable BigData deployment. Also worked on Mobile application for the project for both Android as well as iOS based platforms.

Recommender SystemsCollaborative FilteringPythonCommunicationPresentation Skills