Ankit Agarwal

Software Engineer

Seattle, Washington, United States16 yrs 9 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Experienced in building user-centric solutions at Airbnb.
Strong background in product engineering and software development.
Proficient in multiple programming languages and technologies.

Stackforce AI infers this person is a Software Engineer with expertise in SaaS and product engineering.

Contact

Skills

Core Skills

Product Engineering

Other Skills

CC++AlgorithmsData StructuresLinuxCloud ComputingGoogle App EngineDistributed SystemsConcurrent ProgrammingHadoopFlumeJavaGWTMachine LearningArtificial Intelligence

About

Software Engineer

Experience

16 yrs 9 mos

Total Experience

3 yrs 6 mos

Average Tenure

6 yrs 11 mos

Current Experience

First round fast track

Mentor

Aug 2021 – Present · 4 yrs 9 mos

Software Engineer

Sep 2020 – Present · 5 yrs 8 mos · Seattle, Washington, United States

Product Engineering

Seachange fund

Investor

Jun 2019 – Present · 6 yrs 11 mos · Greater Seattle Area

As a member of fund V & VI, I participate on the screening committee and due diligence process of some of the companies.

Airbnb

Software Engineer

Feb 2016 – Sep 2020 · 4 yrs 7 mos · San Francisco Bay Area

I am an engineer on the Search - Decide team at Airbnb. We work on building stuff to help our guests "decide" which listing is best for their unique trip.
Sounds interesting? Send me a DM to know more.

Product Engineering

Palantir technologies

Software Engineering Intern

May 2015 – Aug 2015 · 3 mos · Palo Alto, California

Product Engineering

Carnegie mellon university

Teaching Assistant

Jan 2015 – May 2015 · 4 mos · Greater Pittsburgh Region

Teaching Assistant for Distributed Systems (15440/640) with Mahadev Satyanarayanan and Babu Pillai

Google

2 roles

Software Engineer

Jul 2012 – Jul 2014 · 2 yrs · Bengaluru, Karnataka, India

Software Engineering Intern

Jan 2011 – Jan 2011 · 0 mo · Bangalore, India

Static call path analysis of google3 java codebase where the design and implementation of a module for pre-processing the codebase to build a call graph was taken up.