Palak Gupta

Lead ML Engineer

United Kingdom6 yrs 3 mos experience
Highly Stable

Key Highlights

  • Expert in Machine Learning and Full Stack Development.
  • Achieved 95% accuracy in automated ticket categorization.
  • Developed AI personal assistant using Azure Bot Framework.
Stackforce AI infers this person is a Machine Learning Engineer with Full Stack Development expertise in SaaS.

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Skills

Core Skills

Machine LearningFull Stack Development

Other Skills

ETLAzure DatabricksMLFlowReact.NETC#TypescriptNeural NetworksAzure Bot FrameworkData AnalysisDeep LearningMicrosoft Azure Machine LearningAlgorithmsWeb ApplicationsAgile Methodologies

About

Detailed-oriented, enthusiastic and committed software craftsperson. Interested in Machine Learning, Deep Neural Networks and Distributed Computing. Currently working in Microsoft, in the domain of Machine Learning and Full stack development

Experience

6 yrs 3 mos
Total Experience
4 yrs 2 mos
Average Tenure
2 yrs 1 mo
Current Experience

Meta

Software Machine Learning Engineer

Apr 2024Present · 2 yrs 1 mo · London Area, United Kingdom · On-site

Microsoft

4 roles

Software Engineer II

Feb 2023Apr 2024 · 1 yr 2 mos · Hyderabad, Telangana, India

Software Engineer

Jul 2020Feb 2023 · 2 yrs 7 mos · Hyderabad, Telangana, India

  • Working on Machine Learning & Automation of processes, including complete ETL (Extraction,
  • Transformation & Loading) of data, model-training, feature-selection using Chi-square method,
  • and Pearson correlation coefficient, as well as deployment on Azure Databricks using MLFlow.
  • Also worked on creating UI dashboard using React and Typescript, implementing object-oriented
  • programming principles as well as unit testing.
  • Experience with microservice architecture, worked on system design problems, developing backend using .NET and C#.
Machine LearningETLAzure DatabricksMLFlowReact.NET+2

Intern at Microsoft

Jan 2020Jun 2020 · 5 mos · Hyderabad, Telangana, India

  • Automated the process of categorization of tickets at helpdesk based on their short description
  • using Neural Networks (Deep Learning). Handled end-to-end ML Lifecycle from data extraction
  • to model building, achieving accuracy of 95%. Automation of this process achieved faster
  • categorization of tickets raised as well as saving ~200 hours/day of human effort.
Neural NetworksMachine Learning

Summer Internship

Jun 2019Jul 2019 · 1 mo · Hyderabad Area, India

  • Developed an artificial personal assistant to interact with users to enable them report their issues
  • and create ticket at helpdesk for assistance, using Azure BOT Framework. It supported seamless
  • chit-chat and multi-language conversation.
Azure Bot FrameworkFull Stack Development

Numitech solutions - india

Web Development

Jun 2017Jul 2017 · 1 mo · Punjab,Ludhiana

Education

Thapar Institute of Engineering & Technology

B.E — Computer Science

Jan 2016Jan 2020

DAV Public School Ludhiana

Higher Secondary Education (12th)

Jan 2014Jan 2016

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