Chirag Gupta

CTO

Delhi, India11 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Over a decade of experience in scaling distributed systems.
Expert in handling multi-million QPS and petabytes of data.
Proven leadership in developing high-performance tech solutions.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in AdTech and E-commerce.

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Skills

Core Skills

LeadershipCore JavaGo (programming Language)Python (programming Language)

Other Skills

CC++CSSChronicle MapClickHouseEclipseFlaskGolangGoogle App EngineHQLHTMLHibernateHiringHybrisJava

About

Tech Lead with more than a decade of experience in scaling distributed systems. I know how to deal with multi million QPS and peta bytes of data. Tech Stack: Java, Golang, Python MySQL, Aerospike, Clickhouse, Kafka, Chronicle Map

Experience

Kayzen

Tech Lead

Jan 2019 – Present · 7 yrs 2 mos · India · Remote

Bidder, Worked on real time bidding server based on Netty to handle 2.7M requests/s keeping p99 latency under 50 ms
Attribution Store, Developed in house key value store based on Chronicle map to store impressions for last six months and scaled it to store and serve ~100 billion entries (~50 TB of compressed data)
Reporting, Scaled end to end reporting pipeline from handling 500M daily entries to 10 billion daily entries in the last 4 years
User Profile, Designed, developed and delivered user profile table pipeline, which process ~1 billion unique user's data every day from various different data sources

Core JavaGo (Programming Language)HiringLeadershipClickHouse

Applift

Senior Software Engineer

Jul 2016 – Dec 2018 · 2 yrs 5 mos · Bengaluru, Karnataka, India

Event Server, Rewrote event server in Golang and further optimized it using Golang's inbuilt performance measurement tools
Budget Pipeline, Redesigned and implemented real time budget pipeline, and was able to reduce time to give feedback to bidder from ~12 seconds to ~2 second. This helped in reducing the frequency of budget over delivery instances.

Go (Programming Language)Core JavaHiringClickHouseLeadership

Loancircle

Software Engineer

Feb 2016 – Jul 2016 · 5 mos · Bengaluru, Karnataka, India

Developed and implemented the algorithm based on Levenshtein distance to match similar addresses in a large data set of loan applications
Analysed a dataset of loan applications for identifying features to classify loan applicants into "fraud", "defaulter" and "honest" categories.

Python (Programming Language)