AeroLeads people directory · profile
Akash Levy Email & Phone Number
Co-Founder and CTO
at
Silimate (YC S23)
2 work emails found
@synopsys.com
3 phones found area 646 and 858
LinkedIn matched
✓ Verified Jun 2026
4 data sources
Profile completeness 100%
Current company
Role
Co-Founder and CTO
Location
Mountain View, California, United States
Who is Akash Levy? Overview
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Quick answer
Akash Levy is listed as Co-Founder and CTO at Silimate (YC S23), based in Mountain View, California, United States. AeroLeads shows a work email signal at synopsys.com, phone signal with area code 646, 858, and a matched LinkedIn profile for Akash Levy.
Akash Levy previously worked as Co-Founder & CTO at Silimate (Yc S23) and Student Mentor at Polygence. Akash Levy holds Ph.D., Electrical Engineering from Stanford University.
Company email context
Email format at Silimate (YC S23)
This section adds company-level context without repeating Akash Levy's masked contact details.
{first}.{last}@synopsys.com
89% confidence
AeroLeads found 2 current-domain work email signals for Akash Levy. Compare company email patterns before reaching out.
Profile bio
About Akash Levy
I'm the co-founder & CTO of Silimate. I hold a Ph.D. from Stanford EE and have technical expertise spanning electronic design automation (EDA), AI, and cloud (Synopsys, NVIDIA, AWS). I've taped out 3 chips, published 14 peer-reviewed papers on circuit design, and have 2 pending patents in the EDA space.
Listed skills include Physics, C++, Teaching, Programming, and 19 others.
Current workplace
Akash Levy's current company
Company context helps verify the profile and gives searchers a useful next step.
Silimate (Yc S23)
Website
AeroLeads page
15 roles
Akash Levy work experience
A career timeline built from the work history available for this profile.
Student Mentor
Mentoring high school students in independent research projects across science/engineering disciplines
Nov 2021 - Oct 2023
Jun 2023 - Sep 2023
Research Assistant
Studying digital IC design using emerging nanotechnologies with "full-stack" focus, including simulation/modeling, architectural design, fabrication, and characterization techniquesTA for EE 309A: Semiconductor Memory Devices and Circuit Design, Fall 2021
Sep 2018 - Jun 2023
Research Intern
Internship for Summer 2022 in AI-Driven Design Solutions (DSO.ai team). Designed patent-pending Fast PPA Speculation Engine (FastPASE) to guide design space optimization. Received return offer
Jun 2022 - Nov 2022
Instructor
Taught 2-week interactive course on Artificial Intelligence to high school students, with an emphasis on applications for social good: summer and winter 2020 batches, winter 2021 batch.Also mentored in "Inspirit AI + X" program for summer of 2022, focused on guiding high school students in independent projects applying AI to some area of interest.
Jun 2020 - Nov 2022
Vlsi Cad Intern
Developed NVIDIA's first internal SAT-based resynthesis/remapping framework for improved chip design. Explored reinforcement learning for choosing among various circuit implementations. Received return offer
Jun 2020 - Sep 2020
Insite Fellow
Developed an investment thesis aimed at identifying high-potential early-stage companies implementing industrial process automation/IoT in various forms
Dec 2019 - May 2020
Software Engineering Intern
Worked on Kindle Whispernet (3G wireless service) infrastructure. Received return offer
Jun 2018 - Aug 2018
Head Undergrad Ta For Ele 206/Cos 306
Responsible for designing and organizing the labs for Princeton's undergraduate course on Contemporary Logic Design with Prof. Sharad Malik
Sep 2017 - Jan 2018
Software Engineering Intern
Developed tools to collect metrics on Virtual Machine import tasks in order to automatically fix certain classes of problems. Received return offer
Jun 2017 - Aug 2017
Engineering Intern
First-ever intern at the company. Performed data analytics collected on campaigns and donations made via GoFundMe's crowdsourced fundraising platform. Received return offer
Jun 2016 - Aug 2016
Summer Research Intern
Explored novel, data-driven approaches to petroleum reservoir modeling, leveraging technologies such as signal processing, data mining and artificial intelligence to ensure fast and robust integration of field data into modelsRepository: https://github.com/akashlevy/Deep-Learn-Oil
Jun 2015 - Aug 2015
Summer Research Intern
Used stochastic simulations to investigate certain structural and functional aspects of the mouse neuro-muscular junction
May 2014 - Aug 2014
5 education records
Akash Levy education
Ph.D., Electrical Engineering
Stanford University
B.S.E., Electrical Engineering
Princeton University
Mathematics
University Of Pittsburgh
Center For Advanced Studies, Engineering
Pittsburgh Allderdice High School
Education record
The International School Bangalore
FAQ
Frequently asked questions about Akash Levy
Quick answers generated from the profile data available on this page.
What company does Akash Levy work for?
Akash Levy works for Silimate (YC S23).
What is Akash Levy's role at Silimate (YC S23)?
Akash Levy is listed as Co-Founder and CTO at Silimate (YC S23).
What is Akash Levy's email address?
AeroLeads has found 2 work email signals at @synopsys.com for Akash Levy at Silimate (YC S23).
What is Akash Levy's phone number?
AeroLeads has found 3 phone signal(s) with area code 646, 858 for Akash Levy at Silimate (YC S23).
Where is Akash Levy based?
Akash Levy is based in Mountain View, California, United States while working with Silimate (YC S23).
What companies has Akash Levy worked for?
Akash Levy has worked for Silimate (Yc S23), Polygence, Y Combinator, Stanford University, and Synopsys Inc.
How can I contact Akash Levy?
You can use AeroLeads to view verified contact signals for Akash Levy at Silimate (YC S23), including work email, phone, and LinkedIn data when available.
What schools did Akash Levy attend?
Akash Levy holds Ph.D., Electrical Engineering from Stanford University.
What skills is Akash Levy known for?
Akash Levy is listed with skills including Physics, C++, Teaching, Programming, Leadership, Microsoft Excel, Labview, and Machine Learning.
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