Dinakar G.

CTO

Bengaluru, Karnataka, India16 yrs 11 mos experience

Highly StableAI Enabled

Key Highlights

Proven track record in leading large-scale engineering teams.
Expertise in AI-driven customer support automation.
Successful in scaling startups to billion-dollar businesses.

Stackforce AI infers this person is a seasoned leader in E-commerce and Transportation technology sectors.

Contact

Skills

Core Skills

MicroservicesArtificial Intelligence (ai)Agile MethodologiesCore Java

Other Skills

AndroidAndroid DevelopmentAndroid SDKGenerative AIGo (Programming Language)Java Enterprise EditionJavaScriptOraclePL/SQLPhoneGapRequirements AnalysisSDLCScrum

About

Seasoned IT leader with great success driving strategy, digital transformations, design and execution of software solutions at a high scale

Experience

16 yrs 11 mos

Total Experience

3 yrs 8 mos

Average Tenure

2 yrs 1 mo

Current Experience

Uber

Engineering Leader

Apr 2024 – Present · 2 yrs 1 mo · Bengaluru, Karnataka, India · Hybrid

Engineering leader responsible for leading the Eligibility life cycle of all the drivers at global Uber scale. Responsible for the following charter 1) Continuous Background checks/monitoring of drivers 2) process all the documents of drivers at Uber scale 3) Build internal tooling for operators to adjudicate the drivers documents and also drivers' background check reports. 4) Build Agentic AI agents for automating driver's customer support experience 5) Build tooling for Regulatory governance of Uber for highly regulated markets- this includes ultra low latency detection and actionability at Uber trip scale.

MicroservicesArtificial Intelligence (AI)Generative AIAgile MethodologiesJavaScript

Amazon

Engineering Leader

Oct 2019 – Jan 2024 · 4 yrs 3 mos · Seattle, Washington, United States · Hybrid

At Amazon was primarily part of two teams across entire tenure:
1- Amazon Freight: Engineering leader for leading the shopping experience charter of amazon freight, which included leading front ending shopping experience(https://freight.amazon.com/), backend engineering teams to a) get service offerings across the amazon freight's transportation network b) Core order management systems c) Core Amazon freight planning/routing systems d) Internal operator tools . Have seen through the journey of being a small sized start up to scaling this to a $XB business
2- Ship with Amazon(SWA) Responsible for leading core backend engineering teams for managing the small parcel delivery business of amazon

Agile MethodologiesCore JavaJava Enterprise EditionRequirements Analysis