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Hi, I'm Arsal Azam. With several years of experience as a software engineer, I've honed my skills in building responsive, scalable, and robust applications across the full stack. I love tackling complex problems, from optimizing backend systems with Django and Java to creating dynamic user experiences with React and TypeScript. I'm passionate about continuous learning and innovation, especially in AI and machine learning, which has led me to work on projects ranging from recommender systems to legal AI applications. Collaboration and translating business needs into effective technical solutions drive my approach to software development.…Hi, I'm Arsal Azam. With several years of experience as a software engineer, I've honed my skills in building responsive, scalable, and robust applications across the full stack. I love tackling complex problems, from optimizing backend systems with Django and Java to creating dynamic user experiences with React and TypeScript. I'm passionate about continuous learning and innovation, especially in AI and machine learning, which has led me to work on projects ranging from recommender systems to legal AI applications. Collaboration and translating business needs into effective technical solutions drive my approach to software development.

Arsal Azam

Developer, Full Stack Developer, AI Engineer, +1

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Hi, I'm Arsal Azam. With several years of experience as a software engineer, I've honed my skills in building responsive, scalable, and robust applications across the full stack. I love tackling complex problems, from optimizing backend systems with Django and Java to creating dynamic user experiences with React and TypeScript. I'm passionate about continuous learning and innovation, especially in AI and machine learning, which has led me to work on projects ranging from recommender systems to legal AI applications. Collaboration and translating business needs into effective technical solutions drive my approach to software development.…Hi, I'm Arsal Azam. With several years of experience as a software engineer, I've honed my skills in building responsive, scalable, and robust applications across the full stack. I love tackling complex problems, from optimizing backend systems with Django and Java to creating dynamic user experiences with React and TypeScript. I'm passionate about continuous learning and innovation, especially in AI and machine learning, which has led me to work on projects ranging from recommender systems to legal AI applications. Collaboration and translating business needs into effective technical solutions drive my approach to software development.

Available to hire

Hi, I’m Arsal Azam. With several years of experience as a software engineer, I’ve honed my skills in building responsive, scalable, and robust applications across the full stack. I love tackling complex problems, from optimizing backend systems with Django and Java to creating dynamic user experiences with React and TypeScript.

I’m passionate about continuous learning and innovation, especially in AI and machine learning, which has led me to work on projects ranging from recommender systems to legal AI applications. Collaboration and translating business needs into effective technical solutions drive my approach to software development.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

German

Advanced

Work Experience

Software Engineer at Valeo Siemens Erlangen

August 1, 2023 - June 1, 2024

Engineered and maintained robust Java applications to integrate critical data infrastructure and backend systems, focusing on signal synchronization for AI model training and real-time manufacturing operations. Leveraged Polarion & ADD tools for signal data management and automated AI-driven data workflows. Developed rigorous unit and integration tests ensuring superior code quality and system reliability. Improved data fidelity by 30% with a synchronization solution enhancing AI model performance. Optimized Java code to boost data retrieval speeds by 20%. Led integration of robotic systems with Java applications, raising signal accuracy by 25%. Supported legacy system migration to modern platforms, improving performance measurably.

Software Engineer at Educative

February 1, 2021 - October 31, 2022

Developed responsive, mobile-first front-end components using React and TypeScript, improving UI/UX. Implemented Redis for efficient data retrieval. Utilized Python for backend logic and complex data processing including ML and AI model lifecycle management. Automated test suites with Selenium, ensuring high-quality applications. Containerized Django backend with Docker to streamline deployment and ML pipeline scalability. Owned the personalization recommender system feature from ideation to deployment. Designed scalable, maintainable backends with Django and deployed serverless apps with Azure Functions integrated with Logic Apps. Managed scalable infrastructure on AWS services, reducing costs by 30% by optimizing cloud resource usage. Worked full-stack delivering end-to-end features.

Software Engineer at I2C

July 1, 2020 - February 28, 2021

Led a strategic project using Java, Spring Boot, and Docker to increase system performance by 40% and reduce deployment time by 50%. Directed integration of AI-driven analytics into enterprise applications, improving data processing speed by 25%. Designed efficient microservices architecture with RESTful APIs replacing monolithic structures. Implemented unit tests and participated in code reviews to ensure software quality. Used Spring Data JPA for optimized database interaction supporting AI training data and inference result storage. Enhanced infrastructure stability and deployment efficiency with Jenkins and Docker leading to a 30% improvement in system resilience. Improved the CI/CD pipeline to speed and reliability of software delivery.

Software Engineer at Educative

August 31, 2023 - July 11, 2025

Developed intuitive, responsive front-end components with React and TypeScript to enhance UI/UX for flagship products. Implemented Redis for optimized data retrieval and storage, and utilized Python for backend logic including complex SQL queries. Designed and automated test suites using Selenium, containerized backend services with Docker for scalable ML pipelines, and built a recommender system managing the full ML data lifecycle. Architected scalable backend systems with Django, deployed serverless applications with Azure Functions integrated with Logic Apps, and managed scalable infrastructure on AWS. Worked in a full-stack capacity to deliver complete features from concept to deployment and achieved cost reductions by 30% by managing multi-cloud services.

Software Engineer at Valeo Siemens

May 31, 2025 - July 11, 2025

Engineered and maintained Java and .NET applications for critical data integration supporting AI model training. Utilized Polarion & ADD tools for managing high-volume signal data and automated AI-driven data workflows using Bash scripting. Authored unit and integration tests for robust backend functionality and optimized Java code to reduce processing time by 20%. Successfully solved data fidelity challenges by implementing synchronization solutions, improving accuracy by 30%. Participated in legacy system migration ensuring minimal downtime and enhanced performance.

Software Engineer at I2C

February 28, 2021 - July 11, 2025

Led a strategic project using Java, Spring Boot, and Docker resulting in a 40% performance increase and 50% faster deployment. Integrated AI-driven analytics into enterprise applications, achieving a 25% enhancement in data processing speed. Designed microservices architecture with secure RESTful APIs to replace monolithic systems for enhanced scalability and security in banking processes. Implemented unit tests and performed code reviews, improved database interactions with Spring Data JPA, and enhanced system stability by 30% using Jenkins and Docker. Contributed to improving CI/CD pipelines for faster and more reliable software delivery.

Research Assistant and Software Engineer at AI in Legal Linguistics: Knowledge Representation and Reasoning

March 31, 2025 - July 11, 2025

Applied Legal Linguistic Templates (LLTs) to formalize complex legal texts for automated reasoning and development of rule-based AI systems. Utilized LegAi editor for detailed annotation, contributed to reverse translation methodology ensuring accuracy of legal formalizations, and analyzed legal texts to extract critical vocabulary and templates for AI processing. Gained experience with legal informatics principles including advanced knowledge representation and Domain-Specific Language development.