Aiswarya Sankar

Co-Founder

San Francisco, California, United States8 yrs 4 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Founder of multiple AI-focused startups
  • Expert in Machine Learning and NLP
  • Proven track record in building innovative AI solutions
Stackforce AI infers this person is a Machine Learning Engineer with a strong focus on AI-driven solutions in the logistics and media sectors.

Contact

Skills

Core Skills

Artificial IntelligenceNatural Language ProcessingMachine LearningSoftware EngineeringWeb Development

Other Skills

deep learningNLPAPI designreal-time speech translationScikit-learnTensorflowJavaTennisAndroidGitHTMLLinuxMicrosoft ExcelRESTSubversion

About

Building artificial engineering intelligence at entelligence.ai. Join us!

Experience

8 yrs 4 mos
Total Experience
1 yr 9 mos
Average Tenure
1 yr 11 mos
Current Experience

Entelligence.ai

Founder

May 2024Present · 1 yr 11 mos

  • Building artificial engineering intelligence
artificial intelligence

Dbrief.ai

Co-Founder and CEO

Jan 2022Jan 2023 · 1 yr · San Francisco Bay Area

  • Building the first contextual news search engine.
  • Currently in UC Berkeley's Skydeck Pad 13 Cohort 14 Incubator - 2022
  • https://dbrief.ai
Artificial Intelligence

Ml collective

NLP Lead

Apr 2021Present · 5 yrs

  • I co-lead the NLP Reading group as part of the ML Collective. We hold weekly meetings discussing papers ranging across the different sub fields in NLP. More information about our group can be found here at https://mlcollective.org/wiki/ig_nlp/.
Natural Language Processing

Uber freight

Machine Learning Engineer

Sep 2019Oct 2023 · 4 yrs 1 mo · San Francisco Bay Area

  • Built Freight's first deep learning nlp model for customer support
  • Set up Freight's staging environment
deep learningNLPMachine Learning

Google

Software Engineering Intern

May 2018Aug 2018 · 3 mos · Mountain View

  • Designed and implemented an API to convert a custom designed markup language into internal representation for the S3 Server
  • Designed a dialog flow and grammar to disassociate lights used with the feature through RPC calls
  • Worked to design a pipeline for real time speech translation

Intel corporation

Software Engineering Intern

May 2017Aug 2017 · 3 mos · Santa Clara

  • Optimized classification models using Scikit-learn and Tensorflow to predict delays given static timing analysis reports
  • Automated multiple design tasks to decrease design iteration turnaround time by 90% to identify and increase accuracy of flagging errors in design reports
  • Piloted new workflow to reduce design convergence time by 20% using machine learning
API designreal-time speech translationSoftware Engineering

Berkeley artificial intelligence research

Undergraduate Researcher

Jan 2017May 2019 · 2 yrs 4 mos

Intel corporation

Software Engineering Intern

May 2016Jul 2016 · 2 mos · Santa Clara

  • Built a full stack website using the Django framework to handle and display queries to the register file IP database
  • Used AJAX and JQuery to dynamically populate a query form with database results
Scikit-learnTensorflowMachine Learning

Peel

Software Engineering Intern

Jun 2014Aug 2014 · 2 mos · California,

  • Worked to integrate the Zendesk API with Peel’s WatchOn Android app to manage customer request forms efficiently.
  • Implemented design changes to customer feedback forms to improve user experience.

Education

UC Berkeley College of Engineering

Electrical Engineering and Computer Science — Computer Science

Jan 2015Jan 2019

Monta Vista High School

Jan 2011Jan 2015

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