Siddharth Sree Ram R

Software Engineer

Bengaluru, Karnataka, India4 yrs 3 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Reduced onboarding time by 70% with migration tool.
Improved debugging efficiency by 40% with automation reports.
Enhanced performance for 10,000+ daily sessions in Visual Builder.

Stackforce AI infers this person is a Fullstack Developer specializing in SaaS solutions with expertise in cloud-native systems.

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Skills

Core Skills

JavaKafkaJavascriptPythonDocker

Other Skills

BootstrapCC++Cascading Style Sheets (CSS)Cloud ComputingDevOpsFlaskGaussian Kernel RegressionHTMLHTML5HelidonJava multithreadingKubernetesMicrosoft OfficeNeural Networks

About

Member of Technical Staff at Oracle India with expertise in full-stack development, cloud-native systems, and test automation.Worked on Oracle STAP, developing a migration tool (reduced onboarding by ~70%), multi-page automation reports (improved debugging by ~40%), and enabling parallel execution with Java multithreading (2–3x throughput gain).Also built a Kafka automation plugin to enable end-to-end message-driven testing and event validation within STAP. Also Contributed to Oracle Visual Builder, improving performance for 10,000+ daily sessions, building Action Chains & Tester (cutting testing time by ~50%), and modernizing libraries (+45% performance/security). Skilled in Java, Javascript, Spring Boot, Redis, Docker, Kubernetes, microservices, API design.

Experience

4 yrs 3 mos

Total Experience

2 yrs 1 mo

Average Tenure

3 yrs 11 mos

Current Experience

Oracle

Member Of Technical Staff

Jun 2022 – Present · 3 yrs 11 mos · Bengaluru, Karnataka, India

Oracle STAP :
Kafka Integration Plugin — Built a modular Kafka plugin that extends the platform with publish/subscribe capabilities for event-driven workflows, enabling end-to-end message-based system validation across customer environments.
Parallel Execution Engine — Engineered a thread-based Java execution framework using concurrency primitives to parallelize workflow execution, improving platform throughput 2–3× and reducing total execution time by ~50%.
Selenium Migration Utility — Architected and implemented a scalable Java-based migration utility to modernize STAP’s UI automation framework, cutting customer onboarding and migration effort by ~70% and improving developer productivity.
Reporting & Insights Dashboard — Designed and developed a dynamic multi-page reporting system (HTML/Bootstrap + JS) for execution analytics and root-cause visibility, reducing debugging/triage time by ~40%.
Oracle Visual Builder :
Contributed to a low-code platform used by ~150 companies, enabling rapid web & mobile app development through a visual drag-and-drop interface with seamless enterprise extension.
Performance API Enhancements: Integrated Web Performance APIs (Navigation Timing, PerformanceObserver), enabling 100+ customer teams to
analyze and optimize performance of websites built on our platform.
Action Chains & Tester: Contributed Action Chains to help user-triggered sequences (REST calls, notifications) and developed the Action Chain Tester, reducing testing time by ~50%.
Library Upgrade: Replaced a legacy third-party library with a modern diffing solution, improving functionality, security, and performance by approximately 45%, and implemented a custom wrapper to ensure backward compatibility.

KafkaJavaJava multithreadingSeleniumHTMLBootstrap+1

National institute of technology, tiruchirappalli

Undergraduate Research Assistant

Jan 2022 – May 2022 · 4 mos

Optimized engine characteristic monitoring by minimizing sensor usage, reducing the number from 12 to only the essential sensors.
Implemented Median Filtering to eliminate noise from sensor data, enhancing data accuracy.
Developed two regression models—Gaussian Kernel Regression and Neural Networks—using the sensor data correlation matrix.
Assessed model performance through Mean Squared Error to ensure reliable predictions.
Created a web-based GUI for visualizing models, training with new input data, and enabling predictions with trained models.
Emphasized noise reduction, regression modeling, and a user-friendly interface to improve engine monitoring efficiency.

Regression ModelsNeural NetworksGaussian Kernel RegressionPython

Oracle

Back End Developer Intern

Jun 2021 – Jul 2021 · 1 mo · Hyderabad, Telangana, India

Conducted an in-depth analysis of 50+ team libraries, categorized them based on dependencies, and built Docker images for each layer to enhance organizational efficiency and promote component reuse across multiple projects.
Developed three sample Docker images for Helidon-based microservices using the layered images, and successfully deployed them to a Kubernetes cluster on Oracle Cloud Infrastructure (OCI).
Achieved an 11% reduction in disk usage for the sample microservices, reduced downtime, enabled isolated patching, and improved overall system efficiency and maintainability.

DockerKubernetesHelidonOCI