Arpit S

Software Engineer

Bengaluru, Karnataka, India4 yrs 1 mo experience

Key Highlights

Expert in Python and scalable system design.
Proven track record in optimizing resource utilization.
Strong background in Fintech and backend development.

Stackforce AI infers this person is a Backend-focused Software Engineer in the Fintech industry.

Contact

Skills

Core Skills

PythonPostgresqlAndroid Development

Other Skills

Amazon EKSAndroid JetpackC (Programming Language)C++Critical ThinkingData StructuresDockerEnglishFunctional ProgrammingHaskellJavaKarpenterKotlinPrometheusPublic Speaking

About

🚀 Software Engineer experienced in shipping Process Schedulers and Framework Tools 🚀 I am a learner with a keen interest in solving problems, small and big. Dabbling in the world of functional programming. Please scroll down to explore the details but before that Let's Connect! 🔗

Experience

Postman

Software Engineer II

Oct 2024 – Present · 1 yr 5 mos · Bengaluru, Karnataka, India · Hybrid

Juspay

3 roles

SDE-1

Jan 2024 – Oct 2024 · 9 mos

ASDE

Feb 2022 – Jan 2024 · 1 yr 11 mos

Collaboratively designed the Core Orchestration Layer framework to enable versatile scoring for any upstream service, whether internal or external to the system.
Co-designed and developed the Transient Schedulers, eliminating the persistent storage layer to enhance efficiency and scalability.
Addressed and rectified memory leaks in the schedulers, effectively reducing memory consumption by 75%.
Developed multiple scripts in the initial phases for aggregating data from various sources such as Grafana and Kubernetes and recommended the right-sizing of resources.
Successfully right-sized applications across various environments to optimize resource utilization.
Performed AWS Node Group modifications, aligning node group configurations based on application requirements localized to specific namespaces. This strategic adjustment, combined with additional optimizations resulted in substantial cost savings in EC2 expenditures.
Conducted a POC for Karpenter Node Autoscaler, demonstrating its effectiveness in managing node groups for cost optimization without significantly impacting availability.
Performed a POC for a custom Pod De-Scheduler intending to increase the efficacy of Cluster Autoscaler.

PythonPrometheus

SDE Intern

May 2021 – Feb 2022 · 9 mos

Backend / Euler
Elevated system reliability for merchants by enhancing error responses within our backend systems.
Conducted a comprehensive evaluation and resolution of issues in the Process Scheduler legacy flow.
Performed an overhaul of the Process Scheduler flow architecture, transitioning from a monolithic to a distributed design. Employed streams, distributed locking and more to optimize performance and scalability.
Significantly enhanced the reliability, scalability, and overall efficiency of the Process Scheduler. Successfully reduced schedule-to-execution delays from hours to mere seconds through continuous feedback and iterative improvements.
Payment Page / SDK
Conducted analysis of UI performance for Juspay's SDK and provided actionable recommendations for enhancements.
Developed proof-of-concepts (POCs) to ensure seamless screen transitions and implemented a shimmer effect for Payment Page merchants, enhancing the overall user experience.

PostgreSQLRedis