
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
SWE III @Google | Formerly at Oracle & ISRO
💻 Software Engineer | Tech Enthusiast | Enhancing Backend Efficiency and User Experience As an Applications Engineer at Oracle, I focus on driving software efficiency and optimizing backend systems. I’ve contributed to enhancing SQL processes, improving scalability with Docker, and streamlining CI/CD workflows to ensure our applications perform reliably. My work in Fusion Apps HCM and SCM has helped deliver more stable releases, while my experience spans both backend engineering and machine learning—ranging from refining satellite image classification techniques with ISRO to advancing backend resilience at Oracle. 🔹 Passionate about simplifying the complex in tech 🔹 Hands-on with Spring Boot, RESTful APIs, Kafka, and CI/CD 🔹 Published author, featured in the Springer book chapter I’m all about tech—whether it’s backend architecture, the latest in AI, or trends in cloud innovation. Let's connect and dive into the tech world together!
Dhirubhai Ambani University
Master of Technology - MTech (ICT), Machine Learning
N/A – Present
Government Engineering College,Gandhinagar
BE - Bachelor of Engineering, Computer Engineering
N/A – Present
Software Engineer
April 1, 2025 – Present
Hyderabad, Telangana, India
Oracle
Applications Engineer
June 1, 2022 – February 1, 2025
ISRO - Indian Space Research Organization
Junior Research Fellow
August 1, 2021 – June 1, 2022
Spring and Spring Boot
O'Reilly
June 23, 2026 – Present
Kafka Fundamentals
O'Reilly
June 23, 2026 – Present
1Z0-1127-24 - Oracle Cloud Infrastructure 2024 Generative AI Professional
Oracle
June 23, 2026 – Present
Cultural Fit Analysis
The candidate has experience in diverse organizations (Google, Oracle, ISRO) which suggests adaptability. However, the project section is empty, making it difficult to assess the breadth of practical application and collaboration styles. The target role is ML Engineer, and while education aligns, the listed skills in previous roles are limited, making a strong cultural fit assessment challenging without more project details.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insight.