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Arjun J. Email & Phone Number

Staff Machine Learning Engineer at Spotify
Location: New York, New York, United States 8 work roles 2 schools
1 work email found @spotify.com 1 phone found area 607 LinkedIn matched
4 data sources Profile completeness 100%

Contact Signals · 1 work email · 1 phone

Work email a****@spotify.com
Direct phone (607) ***-****
LinkedIn Profile matched
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Current company
Spotify
Role
Staff Machine Learning Engineer
Location
New York, New York, United States
Company size
17003 employees

Who is Arjun J.? Overview

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Quick answer

Arjun J. is listed as Staff Machine Learning Engineer at Spotify, a company with 17003 employees, based in New York, New York, United States. AeroLeads shows a work email signal at spotify.com, phone signal with area code 607, and a matched LinkedIn profile for Arjun J..

Arjun J. previously worked as Senior Machine Learning Engineer at Spotify and Software Development Engineer II - AWS Deep Learning at Amazon Web Services. Arjun J. holds Master Of Engineering (Meng), Electrical And Computer Engineering from Cornell University.

Company email context

Email format at Spotify

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{first}.{last}@spotify.com
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Profile bio

About Arjun J.

I graduated from Electrical and Computer Engineering department at Cornell University and currently work at Amazon Web Services.My interest lies in building scalable and production quality Natural Language Processing system utilizing state of the art Machine Learning and Deep Learning algorithms.I have worked on several NLP projects including chatbots, information retrieval, text analyzer, etc.I bring a healthy mix of research and engineering experience. Additionally, I have 3 patents filed plus 2 in process in the field of NLP. I also have published a paper in CVPR.

Listed skills include C, Matlab, Machine Learning, Computer Vision, and 22 others.

Current workplace

Arjun J.'s current company

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Spotify
Spotify
Staff Machine Learning Engineer
New York, NY, US
Website
spotify.com
Employees
17003
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Company profile
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8 roles

Arjun J. work experience

A career timeline built from the work history available for this profile.

Staff Machine Learning Engineer

Spotify

New York, NY, US

Senior Machine Learning Engineer

Current
Spotify

Stockholm, Stockholm County, SE

Jan 2020 - Present

Software Development Engineer Ii - Aws Deep Learning

Amazon Web Services

Seattle, WA, US

  • Member of Amazon Kendra team since its inception until launch.
  • Designed and successfully deployed an automatic framework for training machine learning models. This framework can support training any ML model and is currently being used by multiple AWS ML services in prod.
  • Developed an automatic model evaluation strategy to accompany the design of model training framework described above. It is used to catch any regression in model’s accuracy early in the cycle before any customer gets.
  • Led an Accuracy Troubleshoot Team to boost the performance of E2E Machine Learning system with multiple ML models. Closed the gap between online and offline system by improving the F1 score from 4.16 to 47.2 (1075%)
  • Secured 2nd place victory in an internal Amazon ML competition with F1 score of 64.9%. Challenge was to classify safe vs unsafe products based on text reviews and star ratings.
Sep 2018 - Jan 2020

Senior Machine Learning Engineer

Ibm

Armonk, New York, NY, US

Promoted to lead a team of Machine Learning Engineers to develop advance ML solutions for NLP problems.

Jun 2018 - Aug 2018

Machine Learning Software Engineer

Ibm

Armonk, New York, NY, US

  • Responsibilities:
  • Built and led team with Machine Learning expertise within Unified Messaging Experience(UMX) squad.
  • Identified areas where use of Machine Learning and Deep Learning can make digital sales channel (chat, message, email) efficient and smart.
  • Evaluated POCs and architected scalable design for successful POCs.Achievements:
  • Won IBM Impact Award for building production worthy Chat Bots which are live on high volume IBM offerings like SPSS, Blockchain etc.
  • Deployed Deep Learning based conversational agent for IBM sellers. It suggests automatic responses and act as their personal assistant.
Sep 2016 - Jun 2018

Graduate Teaching Research Specialist

Cornell University

Ithaca, NY, US

Publication: https://arxiv.org/abs/1802.01722

Jan 2016 - Aug 2016

Staff 1 Engineer-Systems Software Design

Broadcom

Palo Alto, California, US

  • Devised and implemented signal processing & wireless communication algorithms
  • Wrote device driver software using C, C++ to add new features and improve throughput of Broadcom's 802.11ac Wi-Fi chipsets.
  • Analyzed and resolved many connectivity and throughput issues due to device software during bring-up of SISO/MIMO Wireless LAN chipsets. Received Broadcom Spot Award for the outstanding effort.
  • Implemented RSSI(Receive Signal Strength Indicator) functionality in embedded software.
  • Implemented shared LNA(Low Noise Amplifier) algorithm in device driver software through which both Bluetooth and Wi-Fi can receive simultaneously. This work was incorporated in AGC(Automatic Gain Control) design and.
  • Implemented MCS-SQ (Modulation Coding Scheme-Signal Quality) metric to know the quality of decoded signal in Broadcom’s Wi-Fi connectivity chipset.
Jun 2011 - Jul 2015

Project Intern

Freescale Semiconductor

Austin, Texas, US

Project with Freescale Semiconductor at IISc

Jul 2010 - Oct 2010
Team & coworkers

Colleagues at Spotify

Other employees you can reach at spotify.com. View company contacts for 17003 employees →

VY Vikram Yadav Vikram Yadav Colleague at Spotify Pune, Maharashtra, India, India View → MH Marty Hopkins Marty Hopkins Colleague at Spotify Memphis Metropolitan Area, United States View → RZ Rohit Zion Rohit Zion Colleague at Spotify Lahore, Punjab, Pakistan, Pakistan View → DR Debbie Reading Debbie Reading Colleague at Spotify Los Angeles, California, United States, United States View → AG Alexandru Guzun Alexandru Guzun Colleague at Spotify Amsterdam, North Holland, Netherlands, Netherlands View → SA Samad Azeez Samad Azeez Colleague at Spotify Port Harcourt, Rivers State, Nigeria, Nigeria View → CK Ceyhun Kadir Ak Ceyhun Kadir Ak Colleague at Spotify Helsinki, Uusimaa, Finland, Finland View → BM Barry Mcguire Barry Mcguire Colleague at Spotify Drogheda, Ireland, Ireland View → SB Steve Burnett Steve Burnett Colleague at Spotify Chicago, Illinois, United States, United States View → AF Alexa Foote Alexa Foote Colleague at Spotify United States, United States View →
2 education records

Arjun J. education

Master Of Engineering (Meng), Electrical And Computer Engineering

Cornell University

B.Tech, Electronics And Communication Engineering

Amu
FAQ

Frequently asked questions about Arjun J.

Quick answers generated from the profile data available on this page.

What company does Arjun J. work for?

Arjun J. works for Spotify.

What is Arjun J.'s role at Spotify?

Arjun J. is listed as Staff Machine Learning Engineer at Spotify.

What is Arjun J.'s email address?

AeroLeads has found 1 work email signal at @spotify.com for Arjun J. at Spotify.

What is Arjun J.'s phone number?

AeroLeads has found 1 phone signal(s) with area code 607 for Arjun J. at Spotify.

Where is Arjun J. based?

Arjun J. is based in New York, New York, United States while working with Spotify.

What companies has Arjun J. worked for?

Arjun J. has worked for Spotify, Amazon Web Services, Ibm, Cornell University, and Broadcom.

Who are Arjun J.'s colleagues at Spotify?

Arjun J.'s colleagues at Spotify include Vikram Yadav, Marty Hopkins, Rohit Zion, Debbie Reading, and Alexandru Guzun.

How can I contact Arjun J.?

You can use AeroLeads to view verified contact signals for Arjun J. at Spotify, including work email, phone, and LinkedIn data when available.

What schools did Arjun J. attend?

Arjun J. holds Master Of Engineering (Meng), Electrical And Computer Engineering from Cornell University.

What skills is Arjun J. known for?

Arjun J. is listed with skills including C, Matlab, Machine Learning, Computer Vision, Java, Data Mining, Python, and Embedded Systems.

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