Shashank Dabriwal

CTO

San Francisco, California, United States13 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building fraud detection systems.
Strong background in machine learning infrastructure.
Proven track record in e-commerce payment systems.

Stackforce AI infers this person is a Backend-focused engineer with expertise in SaaS and E-commerce fraud detection.

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Skills

Core Skills

Machine LearningFraud DetectionBackend DevelopmentPayment SystemsE-commerce

Other Skills

JavaScalaRubyHiveHadoopMachine Learning infrastructurePythonGolangPHPJavaScriptWeb DevelopmentData StructuresAlgorithmsSoftware DevelopmentSoftware Engineering

About

I like working on building simple, scalable, robust infrastructure for various components of a software product. I can sense bugs when I look at code. Execution end to end is key. Code means more when it is in production serving a purpose.

Experience

13 yrs 9 mos

Total Experience

4 yrs 7 mos

Average Tenure

10 yrs 1 mo

Current Experience

Airbnb

Tech Lead

Apr 2016 – Present · 10 yrs 1 mo · San Francisco

Ask me about how to fight fraud.
One of the initial members of the Risk/ Trust team.
Owned fake listing detection and removal, content moderation.
Owned detection and mitigation of account take overs.
Setup bot detection infrastructure from scratch and contributed to anti scraping defense. Mitigated several large scale fraud/ bot attacks.
Setup configurable defenses for offline risk and safety
Contributed to Airbnb's machine learning infrastructure and risk rules engine.
Built risk intelligence tooling for proactive detection and mitigation
I work as a lead engineer on the Risk team to improve trust and safety in the Airbnb community.
We detect, mitigate, and prevent fraudulent and malicious behavior on the platform using machine learning and other techniques.
Java, Scala, Ruby, Hive, Hadoop, Machine Learning infrastructure

JavaScalaRubyHiveHadoopMachine Learning infrastructure+2

Mylikes

Software Engineer, Tech Lead

Oct 2013 – Mar 2016 · 2 yrs 5 mos · San Francisco

Built a ranking engine to determine potential virality of web content and recommend it to publishers.
Built ML infrastructure and deployed ML models to increase engagement of users on a social network
Built backend infrastructure for messaging, feed and matching people for a livestreaming platform
Designed and built several independent services in GO
Built and developed video chat on Android using WebRTC
Python, Golang

PythonGolangMachine LearningBackend Development