Prabh Simran Baweja

AI Researcher

Cupertino, California, United States9 yrs 2 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Machine Learning and Computer Vision.
Proven track record in developing innovative AI solutions.
Strong background in Quantum Computing research.

Stackforce AI infers this person is a Machine Learning and Computer Vision expert with a focus on Quantum Computing.

Contact

prabhsimransingh.baweja@gmail.com LinkedIn

Skills

Core Skills

Machine LearningDeep LearningText RecognitionQuantum ComputingComputer VisionNatural Language Processing

Other Skills

AlgorithmsArtificial IntelligenceAutomationC++ChatbotsCloud ComputingCode AnalysisComputer ScienceData AnalysisData ScienceData StructuresDiscrete MathematicsGame DevelopmentImage ProcessingJava

About

Research Interests: Text Recognition, Computer Vision, Generative AI, Quantum Computing, Quantum Machine Learning.

Experience

9 yrs 2 mos

Total Experience

1 yr 7 mos

Average Tenure

4 yrs 4 mos

Current Experience

Apple

2 roles

Senior Machine Learning Research Engineer

Promoted

Oct 2023 – Present · 2 yrs 8 mos · Cupertino, California, United States · On-site

Working in an R&D team:
To innovate and deliver high-impact features that interact with state-of-the-art machine learning technologies.
Develop and deploy deep learning solutions or framework at scale.

Machine LearningDeep LearningComputer Vision

Machine Learning Research Engineer

Jan 2022 – Sep 2023 · 1 yr 8 mos · Cupertino, California, United States · On-site

Working in an R&D team working in the area of text recognition and understanding:
To innovate and deliver high-impact features that interact with state-of-the-art machine learning technologies.
Develop and deploy deep learning solutions or framework at scale.

Machine LearningDeep LearningText Recognition

Carnegie mellon university

2 roles

Research Assistant

Jun 2021 – Dec 2021 · 6 mos · Pittsburgh, Pennsylvania, United States

Research on developing quantum algorithms for classical machine learning algorithms on NISQ devices and beyond

Quantum ComputingQuantum AlgorithmsMachine Learning

Research Assistant

May 2020 – Aug 2021 · 1 yr 3 mos · Pittsburgh, Pennsylvania, United States

We introduce a realistic synthetic dataset generation technique that combines the physical constraints of the scene in real-world deployments, drastically reducing the need for human labeling.
Developed models based on FasterRCNN architecture for pallet detection, a
tracker using 3D Cross View Tracking, and a model to count the pallets using
geofencing at each warehouse.
Achieved 90% daily accuracy at three warehouses. The system is currently
being deployed at 20 warehouses.

Computer VisionDeep LearningSynthetic Dataset Generation

Aifi inc.

Computer Vision Algorithm Engineer

Aug 2020 – Dec 2020 · 4 mos · Santa Clara, California, United States · Remote

Improved the performance of the vision model in terms of accuracy and training speed.
Automated end-to-end vision product recognition workflows for rapid and reliable experimentation along with resource utilization.
The Machine Learning Pipeline led to a 55% monthly reduction in the resource utilization cost.

Computer VisionMachine LearningAutomation

Booking.com

Software Developer

Jun 2017 – Aug 2019 · 2 yrs 2 mos · Amsterdam, North Holland, Netherlands · On-site

Explored customer experiences while interacting with Chatbots to book a travel option.
Worked on the Natural Language Processing Engine of the Chatbot.
Analyzed customer behaviour on the services provided by the Chatbot.
Worked on the platform to provide insights to Account Managers using Machine Learning and Collaborative Filtering.
Gave technical talks on Chatbots in the Travel Industry at Pycon, Poland and Fullstack Fest, Barcelona.

Natural Language ProcessingMachine LearningChatbots

Codenation

Software Developer

Jul 2016 – Apr 2017 · 9 mos · Dubai, UAE | Bangalore, India · On-site

Research on various methods to automatically remove cloned code from Java classes.

JavaCode Analysis

Practo

Software Development Intern

May 2015 – Jul 2015 · 2 mos · Bengaluru Area, India

Built RESTful API to enable upload of various Patient Record documents, integrable with Mobile and Web platforms.
Designed a tag system that would help patients keep their records in order.
Simplified Account Verification for practitioners.

RESTful APIWeb Development

Virtual labs, mhrd, govt. of india initiative

Research Assistant

Aug 2014 – Dec 2014 · 4 mos · IIIT Hyderabad, India

Designed and developed virtual experiments to aid undergraduate coursework for core Computer Science subjects.

Virtual Experiment DesignComputer Science

Codecombat

Open Source Developer

Aug 2014 – Dec 2014 · 4 mos · Remote

Developed interactive games to enable students learn programming basics.
Collaborated with other developers and came up with techniques to develop games for famous CS algorithms.
Actively solved bugs and suggested improvements to the community.
The games developed have been played by over a million users.

Game DevelopmentProgramming