Sai Harsha Vadde

CTO

Bengaluru, Karnataka, India4 yrs 11 mos experience

Highly Stable

Key Highlights

Developed innovative backend solutions for vehicle feature validation.
Automated multiple processes, significantly improving team efficiency.
Expertise in Java, Python, and modern web development technologies.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in SaaS solutions.

Contact

svadde1@jaguarlandrover.com LinkedIn

Skills

Core Skills

JavaC++PythonJavascriptData VisualizationDeep Learning

Other Skills

API DevelopmentAlgorithmsApplication Programming Interfaces (API)AutomationBack-End Web DevelopmentBigQueryCloud FunctionsComputer ScienceContinuous Integration (CI)Continuous Integration and Continuous Delivery (CI/CD)Core JavaData StructuresDatabasesDesign PatternsFull-Stack Development

About

As a Software Engineer at Jaguar Land Rover since July 2021, my role revolves around creating innovative solutions to enhance efficiency of vehicle feature validation. I've successfully developed multiple backend solutions to reduce manual efforts in the validations. These contributions have improved the efficiency of our team's workflows. My expertise also extends to Java, C++, design patterns, system design, DSA and web development.

Experience

4 yrs 11 mos

Total Experience

4 yrs 4 mos

Average Tenure

7 mos

Current Experience

Oracle

Senior Member of Technical Staff

Nov 2025 – Present · 7 mos · Hyderabad, Telangana, India

MicroservicesDatabasesRESTful WebServicesContinuous Integration (CI)Core JavaFull-Stack Development+18

Jaguar land rover

Software Engineer

Jul 2021 – Nov 2025 · 4 yrs 4 mos · Bengaluru, Karnataka, India

Figma Plugin Development: Developed a Figma plugin using Typescript to extract HMI Screen data, enhancing the efficiency of screen validation. Designed end-to-end automated process to extract and store the data by implementing a backend Nodejs server.
Gherkin Script Automation: Developed python scripts to automate the conversion of gherkin testcases into executable sequences using BDD. Maintained automated Gitlab CI/CD pipelines for seamless data integration.
JLR Metrics Dashboards: Developed interactive Tableau dashboards showcasing metrics to track the usage of JLR Systems. Managed data extraction from multiple sources and ensured seamless data flow by leveraging GCP services like BigQuery and Cloud Functions.
Speech Validation API: Developed a Python-based speech validation API to automate Alexa output testing in JLR HMI.

MicroservicesDatabasesRESTful WebServicesContinuous Integration (CI)Core JavaFull-Stack Development+21

Samsung r&d institute india - noida

SDE Intern

May 2020 – Jun 2020 · 1 mo · Noida · Remote

Cross-Lingual Text Classification:
Built a Transfer learning model for sentiment classification in low resource target language using Amazon reviews dataset. Leveraged Neural networks to train and evaluate the model using Tensorflow-Keras framework.

Deep LearningNatural Language Processing (NLP)TensorFlowTransfer LearningPandas (Software)