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Arashpreet Singh Mor

Machine Learning Engineer

Sunnyvale, California, United States10 yrs 9 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Expertise in Generative AI and Large Language Models.
  • Proven track record in enhancing search functionalities.
  • Strong foundation in machine learning and data analysis.
Stackforce AI infers this person is a Machine Learning Engineer with a focus on AI-driven solutions in the SaaS industry.

Contact

Skills

Core Skills

Machine LearningGenerative AiArtificial Intelligence (ai)

Other Skills

Large Language Models (LLM)Fine TuningSearch Engine RankingNeural NetworksDeep LearningLinuxWeb AnalyticsStrategyData AnalysisProject ManagementScalaHadoopPythonJavaSQL

About

Experienced Machine Learning Engineer with a demonstrated history of working in the internet industry. Strong engineering professional with degrees from Indian Institute of Technology Delhi and the University of Florida.

Experience

10 yrs 9 mos
Total Experience
2 yrs 1 mo
Average Tenure
7 yrs 5 mos
Current Experience

Linkedin

4 roles

Staff Machine Learning Engineer

Promoted

Mar 2024Present · 2 yrs 3 mos

Generative AILarge Language Models (LLM)Fine TuningMachine Learning

Senior Machine Learning Engineer

Mar 2021Present · 5 yrs 3 mos

Generative AIMachine Learning

Machine Learning Engineer

Mar 2019Feb 2021 · 1 yr 11 mos

Machine LearningSearch Engine RankingArtificial Intelligence (AI)Neural NetworksDeep Learning

Machine Learning Intern

May 2018Aug 2018 · 3 mos · Sunnyvale, California

  • Making LinkedIn Recruiter Search Smarter
Linux

Coding ninjas india

Software Engineer

May 2016Aug 2017 · 1 yr 3 mos · New Delhi Area, India

  • Envisioning and Development of Code Judge for testing student code submissions in C++ and Java.
  • Development of internal tools to smoothen business transactions, manage leads, admissions, receipts.
Linux

Brain rider technologies

Co-Founder

Sep 2015May 2016 · 8 mos · New Delhi Area, India

  • A lot of people find hindrance to order food and beverages at cinemas during interval, primarily because of the following reasons:
  • One needs to stand in long queues.
  • There is always a chance of missing the movie.
  • Often the choice is between going to the washroom and ordering food.
  • Cinemas lose a lot of potential customers because of the above.
  • Our Solution :-
  • Released on-premise food ordering application using signal processing, Bluetooth beacons for presence detection. Our app AtCouch allowed a user to order food any time during the movie. As soon as a user places an order, it would show up on the manager app provided to cinemas. Users had a variety of payment options, like debit/credit cards, net banking, different wallets like Paytm, Mobikwik and Cash On Delivery. Native iOS and Android apps of the final product transferred to a leading cinema chain in India.

American express

Analyst

Jul 2014Sep 2015 · 1 yr 2 mos

  • Loyalty Analytics, Business Intelligence & Insights for Amex's 20+ International markets supporting Digital Capabilities, Web Analytics and Marketing Strategies.
  • Driving measurement pieces on Amex Proprietary digital owned channels ( Membership Rewards Websites, mobile sites) across multiple markets.

Inria

Research Intern

May 2013Aug 2013 · 3 mos · Lyon Area, France

  • Researched on Semi-supervised learning for Graph to Signal Mapping.

Sas institute india pvt. ltd.

Intern

May 2012Jul 2012 · 2 mos

Education

Indian Institute of Technology, Delhi

Dual Degree in Electrical Engineering — Electrical Engineering

Jan 2009Jan 2014

University of Florida

Master's degree — Computer Science

Jan 2017Jan 2018

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