Vaibhav Agasti

Software Engineer

Bengaluru, Karnataka, India6 yrs experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in high-performance database development.
Proven experience in AI-driven data processing.
Strong foundation in software engineering principles.

Stackforce AI infers this person is a Software Engineer specializing in database management and AI-driven solutions.

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Skills

Core Skills

Database ManagementSoftware Development

Other Skills

CC++JavaPythonLinuxAlgorithmsQT frameworkHTMLLeadership

About

I am a Software Engineer at Google, working on AlloyDB, a high-performance, PostgreSQL-compatible database. I specialize in building the Columnar Engine and enhancing AlloyDB’s AI capabilities to optimize query performance and enable intelligent data processing at scale. Let's connect to discuss Databases, AI in Data Systems and Performance Optimizations!

Experience

6 yrs

Total Experience

2 yrs

Average Tenure

3 yrs 9 mos

Current Experience

Google

Software Engineer

Aug 2022 – Present · 3 yrs 9 mos · Bengaluru, Karnataka, India

CC++JavaPythonLinuxAlgorithms+2

Tata research development and design centre (trddc)

System Engineer

Sep 2020 – Jul 2022 · 1 yr 10 mos · Pune, Maharashtra, India

Nuclear power corporation of india limited

Software Development Intern

Jul 2019 – Dec 2019 · 5 mos · Anushakti Nagar, Mumbai

Built a drag-and-drop tool to create status trees for the organization’s safety and event handling system using QT framework/C++.
Using the tool, users can create status trees that take in real-time data to display current status of the reactors.
The tool is currently in use by NPCIL to create status trees that monitor the safety status of nuclear reactors at TAPS.

C++QT frameworkSoftware Development

University of south florida

Research Intern

May 2019 – Jun 2019 · 1 mo · Tampa

Designed an algorithm to identify smart-devices belonging to same household, that correctly classified 66.06% of the devices by considering their IP address and location.
Performed data-analysis on smart-device data to optimize the in-app ad-placement strategies.