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Hardik Bansal Email & Phone Number

Chief Technology Officer at GatherGov
Location: Bengaluru, Karnataka, India 6 work roles 2 schools
1 work email found @gathergov.com LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email h****@gathergov.com
LinkedIn Profile matched
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Current company
Role
Chief Technology Officer
Location
Bengaluru, Karnataka, India
Company size

Who is Hardik Bansal? Overview

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Quick answer

Hardik Bansal is listed as Chief Technology Officer at GatherGov, a company with 8 employees, based in Bengaluru, Karnataka, India. AeroLeads shows a work email signal at gathergov.com and a matched LinkedIn profile for Hardik Bansal.

Hardik Bansal previously worked as Co-Founder at Frnd and Senior Quantitative Researcher at Worldquant Llc. Hardik Bansal holds Bachelor’S Degree, Computer Science And Engineering from Indian Institute Of Technology, Kanpur.

Company email context

Email format at GatherGov

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{first}@gathergov.com
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AeroLeads found 1 current-domain work email signal for Hardik Bansal. Compare company email patterns before reaching out.

Profile bio

About Hardik Bansal

Hardik Bansal is a Chief Technology Officer at GatherGov. He possess expertise in quantum computing, quantum information, theoretical computer science, algorithms, convex optimization and 11 more skills.

Listed skills include Quantum Computing, Quantum Information, Theoretical Computer Science, Algorithms, and 12 others.

Current workplace

Hardik Bansal's current company

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GatherGov
Gathergov
Chief Technology Officer
Bengaluru, KA, IN
Website
Employees
8
AeroLeads page
6 roles

Hardik Bansal work experience

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

Chief Technology Officer

Bengaluru, KA, IN

Co-Founder

Bengaluru, Karnataka, India

Apr 2019 - Dec 2023

Senior Quantitative Researcher

Mumbai, Maharashtra, India

Jan 2018 - Sep 2018

Summer Research Intern

College Park, Maryland

1.) We worked on to find best(maximum success probability) LOCC protocol to distinguish a set of states given an extra shared resource state.2.) We conjectured that teleportation based protocol is indeed the best SEP protocol and hence the best LOCC protocol. We have numerical evidence for it are currently working to prove it analytically using convex.

May 2015 - Jul 2015

Research Intern

Singapore

1.) Studied and implemented C++ code to calculate different Classical complexity measures (like Parity Bound, Block Sensitivity, Randomized Complexity etc.) of all 4-bit boolean functions.2.) Studied Query complexity of important functions like Distributivity, Associativity testing etc. We were successful in giving tight bound of \theta(n^{1.5}) for query.

May 2014 - Jul 2014
2 education records

Hardik Bansal education

High School

D.A.V. Public School.Kota
FAQ

Frequently asked questions about Hardik Bansal

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

What company does Hardik Bansal work for?

Hardik Bansal works for GatherGov.

What is Hardik Bansal's role at GatherGov?

Hardik Bansal is listed as Chief Technology Officer at GatherGov.

What is Hardik Bansal's email address?

AeroLeads has found 1 work email signal at @gathergov.com for Hardik Bansal at GatherGov.

Where is Hardik Bansal based?

Hardik Bansal is based in Bengaluru, Karnataka, India while working with GatherGov.

What companies has Hardik Bansal worked for?

Hardik Bansal has worked for Gathergov, Frnd, Worldquant Llc, University Of Maryland, and National University Of Singapore.

How can I contact Hardik Bansal?

You can use AeroLeads to view verified contact signals for Hardik Bansal at GatherGov, including work email, phone, and LinkedIn data when available.

What schools did Hardik Bansal attend?

Hardik Bansal holds Bachelor’S Degree, Computer Science And Engineering from Indian Institute Of Technology, Kanpur.

What skills is Hardik Bansal known for?

Hardik Bansal is listed with skills including Quantum Computing, Quantum Information, Theoretical Computer Science, Algorithms, Convex Optimization, Applied Mathematics, Observational Astronomy, and Machine Learning.

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