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I am a passionate software engineer specializing in AI training and code quality with hands-on experience in AI model fine-tuning, CI/CD pipelines, and microservices development. I enjoy building scalable software systems and improving development processes using cutting-edge technologies. Currently, I work remotely at ScaleAI, where I focus on training code generation models and managing annotation teams to elevate software quality. Throughout my internships, I have contributed to several projects involving containerization, cloud orchestration, ETL pipelines, and React-based web applications, improving performance and deployment times significantly. I'm proficient in multiple programming languages and frameworks and continuously eager to learn and apply new technologies in real-world scenarios.…I am a passionate software engineer specializing in AI training and code quality with hands-on experience in AI model fine-tuning, CI/CD pipelines, and microservices development. I enjoy building scalable software systems and improving development processes using cutting-edge technologies. Currently, I work remotely at ScaleAI, where I focus on training code generation models and managing annotation teams to elevate software quality. Throughout my internships, I have contributed to several projects involving containerization, cloud orchestration, ETL pipelines, and React-based web applications, improving performance and deployment times significantly. I'm proficient in multiple programming languages and frameworks and continuously eager to learn and apply new technologies in real-world scenarios.

Parth K

Developer, AI Engineer, Full Stack Developer, +1

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I am a passionate software engineer specializing in AI training and code quality with hands-on experience in AI model fine-tuning, CI/CD pipelines, and microservices development. I enjoy building scalable software systems and improving development processes using cutting-edge technologies. Currently, I work remotely at ScaleAI, where I focus on training code generation models and managing annotation teams to elevate software quality. Throughout my internships, I have contributed to several projects involving containerization, cloud orchestration, ETL pipelines, and React-based web applications, improving performance and deployment times significantly. I'm proficient in multiple programming languages and frameworks and continuously eager to learn and apply new technologies in real-world scenarios.…I am a passionate software engineer specializing in AI training and code quality with hands-on experience in AI model fine-tuning, CI/CD pipelines, and microservices development. I enjoy building scalable software systems and improving development processes using cutting-edge technologies. Currently, I work remotely at ScaleAI, where I focus on training code generation models and managing annotation teams to elevate software quality. Throughout my internships, I have contributed to several projects involving containerization, cloud orchestration, ETL pipelines, and React-based web applications, improving performance and deployment times significantly. I'm proficient in multiple programming languages and frameworks and continuously eager to learn and apply new technologies in real-world scenarios.

Available to hire

I am a passionate software engineer specializing in AI training and code quality with hands-on experience in AI model fine-tuning, CI/CD pipelines, and microservices development. I enjoy building scalable software systems and improving development processes using cutting-edge technologies. Currently, I work remotely at ScaleAI, where I focus on training code generation models and managing annotation teams to elevate software quality.

Throughout my internships, I have contributed to several projects involving containerization, cloud orchestration, ETL pipelines, and React-based web applications, improving performance and deployment times significantly. I’m proficient in multiple programming languages and frameworks and continuously eager to learn and apply new technologies in real-world scenarios.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

Javanese

Advanced

Work Experience

Software AI Trainer & Code Quality Specialist at ScaleAI

September 1, 2024 - Present

Analyzed and annotated software code datasets to support RLHF training, evaluated code quality and debugging patterns across languages like HTML/CSS, Python, JavaScript, and Java. Trained and fine-tuned code generation models such as GPT-2 and CodeT5 to enhance software development assistance, focusing on code completion, bug detection, and automated refactoring suggestions. Managed annotation teams and established coding standards, documentation guidelines, and software architecture evaluation criteria. Developed prompt engineering strategies to optimize model performance for programming challenges and technical documentation. Curated software development datasets and validated quality metrics, documenting model performance on benchmarks like HumanEval and CodeBLEU.

Software Engineering Intern at YoungBrainz Infotech

February 29, 2024 - August 23, 2025

Contributed to a CI/CD pipeline with Jenkins, reducing deployment times significantly. Designed and deployed core microservices handling OAuth2 user authentication and payments gateway. Containerized services with Docker and orchestrated them on AWS EKS using Kubernetes under DevOps guidance. Built event-driven workflows using RabbitMQ for asynchronous communication. Achieved 65% test coverage using Python unittest framework across 70+ unit and integration tests. Improved frontend performance by implementing React SPA and PWA features, reducing page load times by approximately 0.6s. Added offline capabilities and background sync using Service Worker and IndexedDB.

Software Engineering Intern at UTC Ltd.

August 31, 2023 - August 23, 2025

Designed a PySpark ETL pipeline enhancing data workflow efficiency by 2× using partitions and caching. Developed a prototype for time-series data aggregation handling approximately 200k daily events with Python/Flask and Cassandra, containerized via Docker. Optimized SQL queries through indices and caching to reduce latency from 200ms to 180ms. Automated data extraction, transformation, and loading into MySQL from various sources, cutting manual processing time by 3 hours weekly.