Pratyush Goel

Software Engineer

India4 yrs 2 mos experience

Key Highlights

Expert in Java and Kubernetes with hands-on experience.
Proven ability to reduce deployment speed by implementing caching.
Strong background in data visualization and graph databases.

Stackforce AI infers this person is a Software Engineer with expertise in SaaS and Fintech domains.

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Skills

Core Skills

JavaKubernetesRedisNeo4jFace Recognition

Other Skills

Attendance System DevelopmentBack-End Web DevelopmentCContinuous DeliveryConvolutional Neural Networks (CNN)Data EngineeringData StructuresData VisualizationDjangoFlaskGitGitOpsMicrosoft AzureMicrosoft SQL ServerNumPy

About

I am a hardworking, sincere and self-motivated individual who loves to take up challenges and go the extra mile to complete them. I believe in making work my passion, focusing on the learning outcomes along with the results. I strongly value the combined effort of a team and strive for effective communication among the members and the stakeholders. I also like to socialize and organize trips with friends.

Experience

Goldcast

Software Engineer 2

May 2024 – Present · 1 yr 10 mos · Bengaluru, Karnataka, India · On-site

Harness

Software Engineer 1

Jan 2022 – May 2024 · 2 yrs 4 mos · Bengaluru, Karnataka, India · Hybrid

Gained tons of domain experience working on multiple open source features with Product, Frontend, Designers and QA team to understand and deliver customer-focused features. Most recent projects include -
Played a crucial role in updating the JDK version by migrating from Fabric8 to Kubernetes Java Client library.
Revamped the Kubernetes authentication mechanism to support the deprecation of in-built auth-provider for version >=1.22.
Implemented Caching to reduce the API calls and increase average deployment speed by ~12% using Redis.
Continuous Delivery and GitOps Developer Certified by Harness.

JavaKubernetesRedisContinuous DeliveryGitOps

Standard chartered bank

Summer Intern

May 2021 – Jul 2021 · 2 mos · Chennai, Tamil Nadu, India

Developed an application to perform Impact Analysis of Attributes on a System-level.
Visualized Data Lineage by migrating the existing relational Data Governance platform to a non-relational Graph Database (Neo4j).
Significantly reduced the query time from 3 hours to 8 minutes to provide valuable insights.

Neo4jData Visualization