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Vikas Chandra Email & Phone Number

Senior Director, AI @ Meta at Meta
Location: Los Altos, California, United States 9 work roles 3 schools
1 work email found @fb.com LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

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Current company
Role
Senior Director, AI @ Meta
Location
Los Altos, California, United States

Who is Vikas Chandra? Overview

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Quick answer

Vikas Chandra is listed as Senior Director, AI @ Meta at Meta, based in Los Altos, California, United States. AeroLeads shows a work email signal at fb.com and a matched LinkedIn profile for Vikas Chandra.

Vikas Chandra previously worked as Senior Director, AI at Meta and Angel Investor and Advisor at Various Startups. Vikas Chandra holds Ph.D., Computer Engineering from Carnegie Mellon University.

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Profile bio

About Vikas Chandra

I see myself as a technical leader and innovator. In my current incarnation, I am working in a senior leadership role at Meta Reality Labs. In my prior life, I was a director of applied machine learning at Arm where I led research effort on efficient AI inference at the edge. I was a visiting scholar (2011 - 2014) and later a visiting faculty (2016 - 2018) at Stanford University. I have authored 150+ research papers in top international Conferences/Journals and have given several keynotes, invited talks and tutorials. I am also an inventor on 40+ approved/pending Patents. In addition, I serve (or have served) on the program committees of several leading research conferences. My Erdős number is 3.Selected recent publications: https://v-chandra.github.io/publications/

Listed skills include Machine Learning, Deep Learning, Asic, Vlsi, and 23 others.

Current workplace

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Meta
Meta
Senior Director, AI @ Meta
AeroLeads page
9 roles · 7 years

Vikas Chandra work experience

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

Senior Director, Ai

Current

Menlo Park, Ca, Us

Leading an AI applied research and engineering organization at Meta Reality Labs responsible for developing multimodal AI technologies, generative AI as well as on-device LLM and vision-language models. This involves working with a large cross functional team of AI research scientist, SW engineers and product managers to enable the AI use cases in our products. Our work cuts across the full ML stack - algorithms, model architecture, model optimization and deployment. Work has resulted in several new product features as well as research publications in top-tier AI conferences (NeurIPS, ICLR, CVPR, ICML, ICCV, AAAI, Interspeech, ICASSP,...), and 30+ filed patents.We are hiring exceptional AI researchers and engineers - If you want to build the state-of-the-art AI technology stack for the metaverse, send me a note.Selected recent publications: https://v-chandra.github.io/publications/

May 2018 - Present

Angel Investor And Advisor

Current
Various Startups

Small angel investments in disruptive AI startups. I invest in early stage start-ups where I see status quo disruption. Recent investments include Yellow.ai (conversational AI platform), Veza (data security platform), Raga AI (edge AI observability platform), gradCapital (as LP).

2020 - Present ~6 yrs 6 mos

Director, Applied Ml

Arm

Cambridge, Cambs, Gb

Worked in a leadership role in the core ML technology team building efficient machine learning and deep learning solutions for a wide range of applications. I led research efforts on variety of topics ranging from optimized ML kernels to system aware optimized neural network architecture to energy efficient ML processor architecture. Authored 50+ research publications and 30+ US and international patents. I also served on the internal patent review committee at Arm.

Aug 2007 - May 2018

Visiting Faculty

Stanford, Ca, Us

Taught EE213 in the Spring quarters. EE213 is a fundamental class which teaches how to build efficient digital systems. This class has been taught by Prof. Mark Horowitz in the past and is typically taken by senior undergrads and grad students.

Mar 2016 - Feb 2018

Visiting Scholar

Stanford, Ca, Us

Visiting scholar at Stanford EE department. Responsibility includes mentoring Ph.D. students and collaborating on relevant research topics. Published multiple research papers in leading conferences.

Sep 2011 - Sep 2014

Senior Member Of Technical Staff

Santa Clara, Ca, Us

FPGA fabric design for space-time architecture.

Jul 2004 - Oct 2006

Research Intern

Santa Clara, California, Us

Asynchronous logic research and implementation for a communication centric product.

Mar 2004 - Jul 2004

Research Intern

Armonk, New York, Ny, Us

Research into design of low power SoC interconnect architecture based on voltage and frequency islands.

Jul 2002 - Dec 2002
3 education records

Vikas Chandra education

Ph.D., Computer Engineering

Carnegie Mellon University

Ms, Computer Engineering

Carnegie Mellon University

B.E. (Hons.), Instrumentation Engineering

Birla Institute Of Technology And Science, Pilani
FAQ

Frequently asked questions about Vikas Chandra

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

What company does Vikas Chandra work for?

Vikas Chandra works for Meta.

What is Vikas Chandra's role at Meta?

Vikas Chandra is listed as Senior Director, AI @ Meta at Meta.

What is Vikas Chandra's email address?

AeroLeads has found 1 work email signal at @fb.com for Vikas Chandra at Meta.

Where is Vikas Chandra based?

Vikas Chandra is based in Los Altos, California, United States while working with Meta.

What companies has Vikas Chandra worked for?

Vikas Chandra has worked for Meta, Various Startups, Arm, Stanford University, and Tabula.

How can I contact Vikas Chandra?

You can use AeroLeads to view verified contact signals for Vikas Chandra at Meta, including work email, phone, and LinkedIn data when available.

What schools did Vikas Chandra attend?

Vikas Chandra holds Ph.D., Computer Engineering from Carnegie Mellon University.

What skills is Vikas Chandra known for?

Vikas Chandra is listed with skills including Machine Learning, Deep Learning, Asic, Vlsi, Soc, Fpga, Eda, and Low Power Design.

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