Software Engineer, Software Development Engineer, Software Developer, Backend Engineer candidate in Patna, Bihar, India

Summary

I am a software engineer with a strong foundation in backend development, data-driven systems, and real-world AI evaluation, with experience spanning traditional software engineering and large language model (LLM) evaluation projects. I have worked across multiple stages of the software development lifecycle, including system design, development, testing, deployment, and performance optimization, while maintaining a strong focus on code quality and real-world usability.

In my recent role at Turing, I worked as a Python Engineer and Pod Lead on large-scale LLM evaluation and RLHF projects for enterprise clients. My work focused on improving model robustness and reliability by designing, analyzing, and reviewing high-quality evaluation datasets derived from realistic software and user scenarios. I contributed to the creation of hundreds of adversarial and real-world prompts, helping identify edge cases, reduce hallucinations, and improve alignment with practical use cases. In addition to hands-on evaluation work, I led and coordinated a small cross-functional team, ensuring consistent quality standards, efficient workflows, and timely delivery across multiple project streams.

Alongside my AI-focused work, I bring solid software engineering experience. During my internship at Spurzee Technologies, I built and deployed backend services using Flask and RESTful APIs for a production-grade trading education platform. I worked on cloud-based deployments, database design, and query optimization, improving system performance and achieving high reliability in a live environment. This experience strengthened my ability to understand, modify, and scale real-world codebases while collaborating closely with other engineers to design maintainable and extensible systems.

My technical skill set spans Python, JavaScript, SQL, and modern development tooling, including Git, Docker, and cloud platforms. I am comfortable navigating complex repositories, setting up local development environments, and evaluating test coverage and software quality. I also have experience working with data pipelines, machine learning workflows, and performance debugging, which allows me to approach engineering problems with both analytical depth and practical execution.

What distinguishes my background is the combination of hands-on software engineering and applied LLM evaluation experience. I understand both how production systems are built and how AI models interact with real code, developer tools, and software workflows. This intersection enables me to contribute effectively to projects that require deep code understanding, thoughtful evaluation, and high-quality dataset creation for next-generation AI systems.

Expectations

I am looking for a role where I can work on meaningful engineering problems, collaborate with strong technical teams, and contribute to building reliable, high-quality systems. I value opportunities to grow through challenging work, real-world impact, and continuous learning.