AeroLeads people directory · profile
Shashwath Krishna Email & Phone Number
Senior Machine Learning Engineer
at
EZee Assist
1 work email found
@dribbble.com
LinkedIn matched
✓ Verified Jul 2026
4 data sources
Profile completeness 100%
Who is Shashwath Krishna? Overview
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Quick answer
Shashwath Krishna is listed as Senior Machine Learning Engineer at EZee Assist, based in Calgary, Alberta, Canada. AeroLeads shows a work email signal at dribbble.com and a matched LinkedIn profile for Shashwath Krishna.
Shashwath Krishna previously worked as Senior Machine Learning Engineer at Dribbble and Machine Learning Engineer at Appdirect. Shashwath Krishna holds Master Of Science (M.S.), Computer Science from University Of Massachusetts Lowell.
Company email context
Email format at EZee Assist
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{first}@dribbble.com
86% confidence
AeroLeads found 1 current-domain work email signal for Shashwath Krishna. Compare company email patterns before reaching out.
Profile bio
About Shashwath Krishna
I'm a Machine Learning Engineer with experience in tackling problems in NLP/Computer vision with machine learning. I have experience in designing, building and deploying models/datasets for tasks like text classification, language modeling (LLMs), search, image recognition, summarization and text generation.I'm passionate about building intelligent systems that have a positive impact on the world and help solve complex problems in Artificial Intelligence through the use of novel and practical approaches.
Listed skills include Leadership, Artificial Neural Networks, Public Speaking, C, and 15 others.
Current workplace
Shashwath Krishna's current company
Company context helps verify the profile and gives searchers a useful next step.
8 roles
Shashwath Krishna work experience
A career timeline built from the work history available for this profile.
Senior Machine Learning Engineer
Current
Sep 2023 - Present
Senior Machine Learning Engineer
Oct 2022 - Sep 2023
Machine Learning Engineer
May 2022 - Sep 2022
Machine Learning Research Engineer
Jun 2018 - Apr 2022
Teaching Assistant
Create assignments and grade papers for the undergraduate Artificial Intelligence class
Sep 2017 - Dec 2017
Intern (Machine Learning)
- Developed programs to keep track of Cost Center and G/L Accounts mapping changes for BW data conversion to SAP S/4 HANA system- Developed an Unsupervised Anomaly Detection system using Kernel Density Estimation and a One class Support Vector Machine to detect anomalies in the company's expense data
May 2017 - Aug 2017
Research Assistant
Research on Deep Learning for Computer Vision and Medical image recognition
Jan 2017 - May 2017
2 education records
Shashwath Krishna education
Master Of Science (M.S.), Computer Science
University Of Massachusetts Lowell
Computer Science
Vidyavardhaka College Of Engineering
FAQ
Frequently asked questions about Shashwath Krishna
Quick answers generated from the profile data available on this page.
What company does Shashwath Krishna work for?
Shashwath Krishna works for EZee Assist.
What is Shashwath Krishna's role at EZee Assist?
Shashwath Krishna is listed as Senior Machine Learning Engineer at EZee Assist.
What is Shashwath Krishna's email address?
AeroLeads has found 1 work email signal at @dribbble.com for Shashwath Krishna at EZee Assist.
Where is Shashwath Krishna based?
Shashwath Krishna is based in Calgary, Alberta, Canada while working with EZee Assist.
What companies has Shashwath Krishna worked for?
Shashwath Krishna has worked for Ezee Assist, Dribbble, Appdirect, Marketmuse, and University Of Massachusetts Lowell.
How can I contact Shashwath Krishna?
You can use AeroLeads to view verified contact signals for Shashwath Krishna at EZee Assist, including work email, phone, and LinkedIn data when available.
What schools did Shashwath Krishna attend?
Shashwath Krishna holds Master Of Science (M.S.), Computer Science from University Of Massachusetts Lowell.
What skills is Shashwath Krishna known for?
Shashwath Krishna is listed with skills including Leadership, Artificial Neural Networks, Public Speaking, C, Tensorflow, Deep Learning, Natural Language Processing, and Microsoft Office.
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