Kshitij Aggarwal
@kshitijaggarwal
Software Development Engineer who builds scalable APIs and GenAI tools to accelerate deployment and reduce latency.
IndiaWhat I'm looking for
I’m a Software Development Engineer at Amazon, where I’ve designed and implemented crucial APIs for seller export readiness on a Tier-1 customer-facing service handling ~2.5k/hr traffic with 99.9% availability. I also built a GenAI-powered tool integrated with internal deployment pipelines, reducing engineer effort by 3 days and accelerating deployment cycles by 2 weeks.
Before that, I delivered full-featured solutions at Goldman Sachs—from an AWS-backed E2E source-of-truth dashboard integrated via GraphQL to performance-focused backend improvements that cut batch-job latency from 5 minutes to 6 milliseconds. In my internships, I developed high-throughput data-stream processing for millions of events per second and built FIX message fingerprinting logic to meet real business goals, consistently optimizing reliability, latency, and system throughput.
Experience
Work history, roles, and key accomplishments
Software Development Engineer
Amazon
Oct 2022 - Oct 2022 (0 months)
Strong backend API experience in Java at Amazon — built REST APIs on a Tier-1 service at 2.5k req/hr, 99.9% availability, with PostgreSQL and MySQL. Integrated AWS services via GraphQL APIs and optimised batch job latency from 5 mins to 6ms. Solid Python experience through GenAI tooling.
• Version-upgraded a 2010-created dashboard using CRA that is responsible for
displaying the detailed fees & commissions generated every second by the firm,
and is available to the observing authorities 24/7.
• Tech stack - Tech stack - Slang, ReactJs, and Javascript.
• Developed a high-throughput framework to process 24/7 data streams at ~5M
events/sec, reducing end-to-end latency by ~40 seconds in collaboration with
senior engineers
• Maintained ~100M/sec data stream-flow from multi-lingual sources to target
sinks across an 6-member team.
• Tech stack - Java, Kafka, Flink, ReactJs, MySQL, and Typescript.
• Created an application to fingerprint the FIX messages received at ~100M/day
that assembles to ~50k orders obtained from clients by figuring out the
interesting flow to meet the business goals.
• Analyzed the flow in the end-to-end testing that helped to reduce the latency
from the order of milliseconds to a few microseconds.
• Tech stack - FIX protocol, Java, MongoDB, NoSQL, Gradle, and Groovy.
Education
Degrees, certifications, and relevant coursework
Jaypee Institute of Information Technology
Bachelors of Technology, Computer Science and Engineering
2018 - 2022
Grade: 8.2
• Data Structures (DSA) • Algorithms and
Problem Solving • Object Oriented
Programming (OOPs) • Database
Management Systems (DBMS) •
Operating Systems (OS) • Software
Engineering • Engineering Mathematics •
Psychology
Availability
Location
IndiaAuthorized to work in
Salary expectations
Job categories
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