Shradha Makhija

ML Engineer

Key Strengths

Master's degree in Machine Learning, directly relevant to the ML Engineer role.
Experience at reputable technology companies (Oracle, Google).
Certifications in Generative AI and Kafka indicate interest in modern ML/data technologies.

Cultural & Operational Fit

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.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

💻 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!

Top Skills

Use CasesPaymentsSpring MvcDependency InjectionCore JavaAgile Developmentlanguage modelingGenerative AiRetrieval Augmented Generation (Rag)Spring FrameworkSpring BootreliabilityCommunication ProtocolsRest ApisBusiness RequirementsPyTorchSoftware ArchitectureMultithreadingFront End DevelopmentResponsive Web DesignAnalytical SkillsData ModelingWritten CommunicationCode ReviewUnsupervised LearningNumpymathematicsCommunicationPerformance AnalysisSystems DesignProblem SolvingDeep LearningObject-Oriented Programming (OOP)Information RetrievalAlgorithmsMachine LearningContent DevelopmentImage ProcessingWeb DevelopmentGame DevelopmentData StructuresPHPNatural Language Processing (NLP)

Skills

Education

Government Engineering College,Gandhinagar

BE - Bachelor of Engineering, Computer Engineering

N/A – Present

Dhirubhai Ambani University

Master of Technology - MTech (ICT), Machine Learning

N/A – Present

Experience

Google

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

Certifications

Kafka Fundamentals

O'Reilly

June 23, 2026 – Present

1Z0-1127-24 - Oracle Cloud Infrastructure 2024 Generative AI Professional

Oracle

June 23, 2026 – Present

Spring and Spring Boot

O'Reilly

June 23, 2026 – Present

Key Strengths

Master's degree in Machine Learning, directly relevant to the ML Engineer role.
Experience at reputable technology companies (Oracle, Google).
Certifications in Generative AI and Kafka indicate interest in modern ML/data technologies.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insight.