ARUNABH PRIYADARSHI

ARUNABH PRIYADARSHI

Mentor
Rising Codementor
US$20.00
For every 15 mins
ABOUT ME
Lead full-stack developer at Curl Analytics
Lead full-stack developer at Curl Analytics

Developer, coder, and hacker passionate about learning and building stuff that impacts and improves the way we do things for good.

English
New Delhi (+05:30)
Joined May 2021
EXPERTISE
5 years experience
3 years experience
5 years experience
5 years experience
8 years experience
5 years experience

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EMPLOYMENTS
Senior software developer
Gartner
2023-02-01-Present

As a senior member of Gartner's Innovation Tools team, I develop and deliver multiple software products under our umbrella. I def...

As a senior member of Gartner's Innovation Tools team, I develop and deliver multiple software products under our umbrella. I define and contribute to best practices for efficient development and manage a shared code library used across multiple products.Collaborating closely with our excellent Ops team enhances our learning through their regular sessions, promoting an environment of comprehensive learning and contribution.

Implementation
Software Development
Library Development
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Implementation
Software Development
Library Development
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Lead Full-Stack developer
Upland software
2021-11-01-2022-12-01

Led development and enhancement efforts for the company's flagship product, focusing on delivering high-quality solutions to cust...

Led development and enhancement efforts for the company's flagship product, focusing on delivering high-quality solutions to customer needs. Played a key role in the "Run the Business" team, resolving real-time bugs and issues to ensure seamless customer experience and operational stability.Independent contractor

Full Stack
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Full Stack
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Lead Full-Stack developer
Curl Tech
2019-02-01-2021-08-01

Designed and architected a microservices-based application interacting with deep learning (AI) models, converting a project into a sca...

Designed and architected a microservices-based application interacting with deep learning (AI) models, converting a project into a scalable product by applying comprehensive architectural principles. Implemented key microservices concepts like network discovery, message brokers, naming servers, multithreading, and Redis caching to optimize resource efficiency and scalability. Successfully handed over the well-structured product to the newly hired CTO, who was highly impressed with the work.

Redis
Message Queue
Network
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Redis
Message Queue
Network
Deep Learning
Microservices
Java Multithreading
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