Naveen Kumar Singh

CEO

Bengaluru, Karnataka, India6 yrs 9 mos experience

Highly Stable

Key Highlights

Engineered scalable architecture saving $2 million annually.
Led development of automated code conversion tool.
Designed API services improving application reliability.

Stackforce AI infers this person is a Fintech Backend Engineer with expertise in AWS and scalable architecture.

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Skills

Core Skills

AwsMicroservicesPythonMigration FrameworkWeb DevelopmentDjango

Other Skills

DockerRedisFastAPIDefect and Change ManagementApache KafkaData StructuresSoftware DevelopmentNoSQLSQLScalable System ImplementationsCost-Efficient Architecture DesignWeb Development TechnologiesRisk ManagementObject-Oriented Programming (OOP)AWS-EKS

About

Our team at JPMorgan Chase & Co. has leveraged my expertise in AWS and software development, notably engineering a scalable, robust architecture that's poised to save $2 million annually. Recognizing the importance of efficient processes, I led the development of an automated code conversion tool, streamlining transitions and ensuring compliance with the latest standards. This forward-thinking approach, combined with a strategic eye for cost-effective infrastructures, is how I contribute to our team’s success and drive industry progress.

Experience

6 yrs 9 mos

Total Experience

5 yrs 11 mos

Average Tenure

9 mos

Current Experience

The d. e. shaw group

Technical Lead

Jul 2025 – Present · 9 mos · Bengaluru, Karnataka, India · Hybrid

Tech Lead- Software Engineering at DJS Python Team in D.E. Shaw

Jpmorgan chase & co.

3 roles

Associate Software Engineer II

Jan 2023 – Jun 2025 · 2 yrs 5 mos

Developed and deployed a cost-effective, microservices-based AWS application for
performing Risk Calculation, eliminating the need for fixed infrastructure investments
for compute resources.
● Engineered a scalable and robust architecture on AWS using Elastic Kubernetes Service
(EKS), Redis, and AWS Lambda, resulting in projected annual cost savings of $2 million
compared to on-premises infrastructure.
● Designed and implemented API services using FastAPI to manage risk calculation
requests, integrating monitoring and retry mechanisms to improve application reliability.
● Adapted and conducted thorough unit testing on the existing workflow, ensuring
seamless integration of the enhanced P&L Calculation framework into production.

DockerRedisAWSFastAPIMicroservices

Associate Software Engineer

Promoted

Jan 2021 – Jan 2023 · 2 yrs

Implemented a robust migration framework for transitioning from Python 2 to Python 3;
facilitated the successful transformation of more than 3,700 scripts utilized by seven LOB
teams within set deadlines.
● Directed and executed thorough cross-compatibility tests between Python 2 and Python 3
for the risk calculation workflow, identifying and resolving potential issues to ensure
uninterrupted functionality across both versions.
● Developed and deployed a tool to scan databases for objects incompatible between Python
2 and Python 3 thereby reducing the risk of production failures during code migration and
facilitating a seamless transition to Python 3.

Defect and Change ManagementApache KafkaPythonMigration Framework

Software Engineer

Jul 2019 – Jan 2021 · 1 yr 6 mos

Developed a web application using Django, Python and React to monitor infrastructure
health metrics.
● Designed and deployed an intelligent notification mechanism using Django for real-time
alerts about infrastructure health; achieved detection accuracy rate exceeding 95%,
allowing immediate intervention before potential disruptions occurred.

Data StructuresSoftware DevelopmentWeb DevelopmentDjango