Ganesh Palanikumar

CTO

Sunnyvale, California, United States8 yrs 9 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in AI/ML and data engineering.
Proven track record in scalable solution development.
Strong background in teaching and mentorship.

Stackforce AI infers this person is a Data Engineering and AI/ML specialist in the Tech industry.

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Skills

Core Skills

Data EngineeringAi/mlTeaching

Other Skills

Data ModelingCommunicationPython (Programming Language)PySparkPandas (Software)Extract, Transform, Load (ETL)DashboardObjective-CObject-Oriented Programming (OOP)Operating SystemsMachine LearningCoreMLiOS DevelopmentSearch EnginesUniversity Teaching

About

I am an engineer with a keen product sense. I have experience working in large organizations as well as startups, and this has honed my skill of identifying scalable solutions with market potential. My expertise spans API Development, data modeling, data engineering and AI/ML. At Omneky, my focus is on building and maintaining our data pipelines to ensure the insights we provide our customers are rooted and can be tracked back to real data. Reflecting on my journey from Apple's AI/ML team, the transition has been marked by the development of smart, scalable solutions. This experience honed my expertise in driving large-scale data initiatives, ultimately enhancing our product offerings and customer satisfaction at Omneky. Whether you are hosting an event and looking for a judge/speaker or just want to catch up over a cup of coffee, feel free to drop me a message!

Experience

8 yrs 9 mos

Total Experience

Average Tenure

3 yrs 3 mos

Current Experience

Omneky

2 roles

Lead Engineer

Promoted

May 2025 – Present · 11 mos

Data ModelingData Engineering

Data Engineering Lead

Jan 2023 – May 2025 · 2 yrs 4 mos

Communication

Apple

4 roles

Data Engineer - AI/ML

Promoted

Jun 2021 – Oct 2022 · 1 yr 4 mos

Worked on Analytics component of internal team at Apple to enable A/B testing of models on large (public) populations and deployment of models/assets to public. Involved design and maintanence of ETL Pipeline and dashboard.

Python (Programming Language)PySparkCommunicationPandas (Software)Extract, Transform, Load (ETL)Dashboard+2

OS Engineer - AI/ML

Jan 2020 – Jun 2021 · 1 yr 5 mos

Worked on device component of internal team at Apple to enable A/B testing of models on large (public) populations and deployment of models/assets to public.

Objective-CCommunicationObject-Oriented Programming (OOP)Operating SystemsAI/ML

Machine Learning Engineer - CoreML

Feb 2019 – Dec 2019 · 10 mos

Worked with small team of experienced engineers to develop version of CoreML capable of exploiting multiple cores to speed up training of models. Worked with Privacy Preserving ML team to train a model for doodle recognition using privacy preserving methods like differential privacy and demo the same to execs. Develop an app to demo this in NeurIPS 2019.

Machine LearningCoreMLiOS DevelopmentAI/ML

Data Engineering Intern

May 2018 – Aug 2018 · 3 mos · Cupertino, California

Carnegie mellon university - school of computer science - language technologies institute

2 roles

Graduate Teaching Assistant

Aug 2018 – Dec 2018 · 4 mos · Greater Pittsburgh Area

Graduate teaching assistant for 11-642: Search Engines under Prof Jamie Callan.

Search EnginesUniversity TeachingTeaching

Graduate Teaching Assistant

Jan 2018 – May 2018 · 4 mos · Greater Pittsburgh Area

Graduate Teaching Assistant for 11-611: Natural Language Processing under Prof Alan Black

Natural Language Processing (NLP)University TeachingTeaching

Samsung electronics

2 roles

Senior Software Engineer

Apr 2017 – May 2017 · 1 mo

CommunicationSQL

Software Engineer

Jul 2015 – Mar 2017 · 1 yr 8 mos

Developed REST APIs required by Trusted Service Managers (TSMs) for Samsung Pay - Spain. Designed and developed the 'Value Added Services' modules for Samsung Pay India.

Samsung research

Intern

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

Worked on a upcoming project. Work was based on concurrency and parallelisation of an existing algorithm. Was able to achieve ~600% speedup by exploiting inherent parallelism in the algorithm.

Teravault

Intern

Jun 2013 – Jul 2013 · 1 mo

A small project that involved interfacing and porting a PN532 NFC reader on a Nitrogen6x board running Android OS, using libnfc, the open-source NFC library. The work involved modifying the code of the existing libnfc library to get a basic NFC app running.