Gurvinder Singh

Gurvinder Singh Email and Phone Number

Lead ML Engineer @ Salesforce
Atlanta, GA, US
Gurvinder Singh's Location
Atlanta, Georgia, United States, United States
Gurvinder Singh's Contact Details

Gurvinder Singh work email

Gurvinder Singh personal email

n/a
About Gurvinder Singh

9+ years of experience as a Machine Learning and software engineer professional, have Designed & developed scalable software, as well as end-to-end Machine learning pipelines including NLP and LLM based Systems.I played a key role in the entire ML pipeline from initial business problem setup to cleaning & processing Massive amounts of Structured or unstructured data to Model Building, deployment, and monitoring in production.I worked with teams across the company to develop best practices around the preferred technology stacks, as well as implementing Machine Learning applications and proof of conceptsI am currently looking for roles with titles: Senior Machine Learning Engineer, Senior Data Scientist, Senior NLP Engineer, and ML Researcher.SKILLSET Tools: Tensorflow, PyTorch, HuggingFace, Keras, pytorch_geometric, Networkx, Kubernetes, Pyspark, AirflowDatabase platforms: Oracle, MongoDb, SnowflakeLanguages: Python, Java, R

Gurvinder Singh's Current Company Details
Salesforce

Salesforce

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Lead ML Engineer
Atlanta, GA, US
Website:
salesforce.com
Employees:
83776
Gurvinder Singh Work Experience Details
  • Salesforce
    Lead Ml Engineer
    Salesforce
    Atlanta, Ga, Us
  • Salesforce
    Lead Data Scientist
    Salesforce Apr 2024 - Present
    San Francisco, California, Us
    • Created the Insight Framework with LLM, uncovering deal-winning patterns and shaping a new Sales Play Strategy.• Crafted tailored coaching briefs with performance data, enhancing over 10,000 coaching sessions.
  • Lowe'S Companies, Inc.
    Machine Learning Engineer
    Lowe'S Companies, Inc. Mar 2023 - Mar 2024
    Mooresville, Nc, Us
    • Responsible for developing and scaling the On-Prem Retrieval-Augmented Generation (RAG) based Large Language Model (LLM) for the Q&A system on company contractual documents.• Implemented Natural Language Processing (NLP) techniques for clustering customer feedback, enabling the identification of critical priorities for each store, significantly improving the 'Likelihood to Recommend' metric.
  • University At Buffalo
    Research Assistant
    University At Buffalo Aug 2022 - Mar 2023
    Buffalo, Ny, Us
    • Working on a novel Graph Machine Learning method to do Malware classification on Android Function call graph
  • University At Buffalo
    Graduate Teaching Assistant
    University At Buffalo Jan 2022 - Dec 2022
    Buffalo, Ny, Us
    Graduate Teaching Assistant for Intro to Machine Learning (Spring 22) and Intro to Pattern Recognition (Fall 22)• Assisting the Professor with coursework and project implementation• Working with students on best practices and courseworkData Engineer Intern for Delaware North (Summer 22)• Developed new features and data quality tools which results in Improved Data platforms and Dashboards.• Supported in architecture design of transactional data flow migration from Fiorano to airflow.
  • Athenahealth
    Senior Machine Learning Engineer
    Athenahealth Mar 2021 - Aug 2021
    Boston, Massachusetts, Us
    • Designed and Implemented ML retraining pipeline in Kubernetes to streamline processes, cut costs, and save time.• Improved the coverage of the ML Pipeline by using tensorflow Cnn-Attention model for document Classification and Entity Extraction.
  • Charmboard
    Senior Machine Learning Engineer
    Charmboard May 2019 - Jul 2020
    Bangalore, Karnataka, In
    Worked to build the world's first shoppable video discovery tool by using the machine Learning to make streaming video respond to touch.• Improved visual search engine Recommendation by incorporating clothing Attributes detection model.• Designed, Developed and deployed a new end-to-end Object Detection model for clothes detection.• Led the developement of Faiss based image Indexer database to decreased model Inference time by 60-80 percent and save computation cost.• Increase the Accuracy of tagger system by using Pose estimation model to detect Best shot from videos.• Led the team for training and deployement of Automatic face recognition System to recognize celebrities in videos.
  • Sella
    Data Engineer
    Sella Apr 2017 - Dec 2018
    Biella, It
    • Created data pipeline to extract and process transactional data to improve accuracy of Loan default system.• Built a new Optical character recognition and text analysis tool for processing financial Forms and Documents.
  • Cognizant
    Programmer Analyst
    Cognizant Apr 2015 - Mar 2017
    Teaneck, New Jersey, Us
    • Implemented a new Message Queue System to communicate between Swift payment system and Interbank Apps.• Built a new Java based backend of core bill payment system for Tenet rent Payment.

Gurvinder Singh Skills

Amazon Web Services Linux Predictive Modeling Sentiment Analysis Reinforcement Learning Forecasting Data Analytics Representational State Transfer Deep Learning Oracle Natural Language Processing Html Google Cloud Platform Data Structures Java Opencv Microsoft Excel Computer Vision Pytorch Spring Framework Sql Python Software Development Machine Learning Statistics

Gurvinder Singh Education Details

  • University At Buffalo
    University At Buffalo
    Artificial Intelligence
  • Guru Nanak Dev Engineering College, Ludhiana
    Guru Nanak Dev Engineering College, Ludhiana
    Information Technology

Frequently Asked Questions about Gurvinder Singh

What company does Gurvinder Singh work for?

Gurvinder Singh works for Salesforce

What is Gurvinder Singh's role at the current company?

Gurvinder Singh's current role is Lead ML Engineer.

What is Gurvinder Singh's email address?

Gurvinder Singh's email address is gs****@****alo.edu

What schools did Gurvinder Singh attend?

Gurvinder Singh attended University At Buffalo, Guru Nanak Dev Engineering College, Ludhiana.

What skills is Gurvinder Singh known for?

Gurvinder Singh has skills like Amazon Web Services, Linux, Predictive Modeling, Sentiment Analysis, Reinforcement Learning, Forecasting, Data Analytics, Representational State Transfer, Deep Learning, Oracle, Natural Language Processing, Html.

Who are Gurvinder Singh's colleagues?

Gurvinder Singh's colleagues are Ali Hassan, Michael Beaugh, David Kirk Ii, Vinod Seshasayee, Will Frew, Mba, Emily Hampton, Nathalie Lobato De Faria.

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