AeroLeads people directory · profile
Prasenjit Sengupta Email & Phone Number
Engineering
at
SandboxAQ
1 work email found
@reliable.co
LinkedIn matched
✓ Verified May 2026
4 data sources
Profile completeness 100%
Current company
Role
Engineering
Location
San Francisco Bay Area, United States, United States
Company size
Who is Prasenjit Sengupta? Overview
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Quick answer
Prasenjit Sengupta is listed as Engineering at SandboxAQ, a company with 330 employees, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at reliable.co and a matched LinkedIn profile for Prasenjit Sengupta.
Prasenjit Sengupta previously worked as Engineer at Sandboxaq and Engineer at Reliable Robotics Corporation. Prasenjit Sengupta holds Doctor Of Philosophy (Ph.D.), Aerospace Engineering from Texas A&M University.
Company email context
Email format at SandboxAQ
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{first}@reliable.co
86% confidence
AeroLeads found 1 current-domain work email signal for Prasenjit Sengupta. Compare company email patterns before reaching out.
Profile bio
About Prasenjit Sengupta
I specialize in sensor fusion, navigation, and perception solutions across different domains (autonomous driving and aviation were two that I worked in most recently).Start-ups / small companies make up the bulk of my experience. I build systems / architecture, write software, plan deliverables and schedules, and manage high-performing teams. I am an Associate Fellow of the AIAA and Senior Member of the IEEE.
Listed skills include Simulations, Aerospace, Mathematical Modeling, Numerical Analysis, and 25 others.
Current workplace
Prasenjit Sengupta's current company
Company context helps verify the profile and gives searchers a useful next step.
Sandboxaq
6 roles · 18 years
Prasenjit Sengupta work experience
A career timeline built from the work history available for this profile.
2023 - Present
~3 yrs 4 mos
Engineer
Developed safety-critical Navigation and Perception technology for a remotely-commanded, autonomous, 8,000lb aircraft.
2019 - 2023
~4 yrs
Manager
Built and managed the team which developed algorithms, production code, and analysis tools for multiple-target tracking and state estimation (vehicles, pedestrians, etc.) using vision+lidar+radar sensing.
2017 - 2019
~2 yrs
Engineer
Developed high-accuracy positioning systems for safer and more reliable autonomous vehicles and UAVs.
2016 - 2017
~1 yr
Scientist
Obtained and managed approximately $2 million in funding from NASA and DoD for work in diverse areas, including but not limited to: ballistic missile tracking, air traffic flow optimization, and high-performance computing applications to both.
2008 - 2015
~7 yrs
2 education records
Prasenjit Sengupta education
Doctor Of Philosophy (Ph.D.), Aerospace Engineering
Texas A&M University
Bachelor'S Degree, Aerospace Engineering
Indian Institute Of Technology, Kharagpur
FAQ
Frequently asked questions about Prasenjit Sengupta
Quick answers generated from the profile data available on this page.
What company does Prasenjit Sengupta work for?
Prasenjit Sengupta works for SandboxAQ.
What is Prasenjit Sengupta's role at SandboxAQ?
Prasenjit Sengupta is listed as Engineering at SandboxAQ.
What is Prasenjit Sengupta's email address?
AeroLeads has found 1 work email signal at @reliable.co for Prasenjit Sengupta at SandboxAQ.
Where is Prasenjit Sengupta based?
Prasenjit Sengupta is based in San Francisco Bay Area, United States, United States while working with SandboxAQ.
What companies has Prasenjit Sengupta worked for?
Prasenjit Sengupta has worked for Sandboxaq, Reliable Robotics Corporation, Nio, Swift Navigation, and Optimal Synthesis Inc..
How can I contact Prasenjit Sengupta?
You can use AeroLeads to view verified contact signals for Prasenjit Sengupta at SandboxAQ, including work email, phone, and LinkedIn data when available.
What schools did Prasenjit Sengupta attend?
Prasenjit Sengupta holds Doctor Of Philosophy (Ph.D.), Aerospace Engineering from Texas A&M University.
What skills is Prasenjit Sengupta known for?
Prasenjit Sengupta is listed with skills including Simulations, Aerospace, Mathematical Modeling, Numerical Analysis, Optimization, Machine Learning, Matlab, and Algorithms.
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