Aditya Dhanekula

Software Engineer

Bengaluru, Karnataka, India2 yrs 5 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building scalable applications.
Strong background in machine learning and recommender systems.
Passionate about innovation and collaborative problem-solving.

Stackforce AI infers this person is a Software Engineer specializing in scalable application development and machine learning solutions.

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Skills

Core Skills

JavaSpring BootRecommender SystemsKnowledge Graphs

Other Skills

Neo4jAmazon Web Services (AWS)C++JavaScriptSQLMachine LearningPython (Programming Language)React.jsWeb DevelopmentGraph DatabasesMERN StackFull-Stack DevelopmentData StructuresDatabase Management System (DBMS)Data Science

About

Software Development Engineer | Innovative Problem Solver | Continuous Learner I’m a software engineer with expertise in building scalable and high-performance applications. Proficient in Java, Python, and JavaScript, I excel at turning complex challenges into streamlined, user-friendly solutions. At Apple, I’ve contributed to projects that enhance efficiency and elevate user experience, with a focus on clean code and cutting-edge technologies. Passionate about innovation and collaborative problem-solving. Always open to connecting with like-minded professionals and working on impactful tech projects—let’s connect!"

Experience

2 yrs 5 mos

Total Experience

2 yrs 5 mos

Average Tenure

2 yrs 5 mos

Current Experience

Apple

Software Engineer

Jan 2024 – Present · 2 yrs 5 mos · Bengaluru, Karnataka, India · On-site

As a Software Development Engineer at Apple, I contribute to enhancing iPhone product operations by designing and building robust, scalable applications that drive insights and optimize performance in the manufacturing process. I collaborate with cross-functional teams to streamline back-end functionality, improving overall efficiency. My responsibilities include implementing and managing scalable data processing pipelines, ensuring seamless integration and accessibility that enhance the analytical capabilities of our internal tools. I ensure consistent delivery of high-quality solutions that significantly impact iPhone manufacturing and operations.

JavaSpring Boot

Persistent systems

Machine Learning Intern

May 2021 – Jul 2021 · 2 mos · Verna, Goa, India · Remote

During my internship at Persistent Systems, I enhanced recommender systems using knowledge graphs and graph databases like Neo4j. Collaborating with a skilled team, I improved recommendation accuracy and personalization by modeling relationships and capturing semantic connections between entities. I gained hands-on experience with graph-based data structures, applying advanced algorithms such as personalised PageRank and graph embeddings to optimize recommendations. This experience sharpened my skills in collaborative filtering, content-based filtering, and hybrid approaches, while deepening my understanding of real-world recommendation algorithms.

Recommender SystemsKnowledge Graphs