Developed a Q&A system for Supreme Court judgments, enabling rapid access to case-specific information and reducing research time by an estimated 70%.• Boosted retrieval accuracy by implementing a reranking algorithm and cosine similarity matching, which made the retrieval more precise and also helped maintain semantic meaning within the text.• Benchmarked performance of various LLMs on a custom RAG system and wrote comprehensive documentation to help optimize model selection and improved system efficiency.

• Developed a Nomad job in a Docker container to automate data aggregation from multiple AWS S3 buckets using Python and Terraform for secure AWS IAM access.• Implemented data preprocessing and aggregation, then integrated with internal APIs for reinforcement learning enhancements in machine learning models.• Created detailed documentation to guide the use and maintenance of Nomad jobs for future projects.• Collaborated with teams to integrate the data pipeline, enhancing system performance and project success.

• Developed a full-stack enterprise application using Microsoft .NET MAUI from the ground up which is being deployed internationally.• Worked in a team of three compromised of another software engineer and a user interface major.• Worked directly with field engineers to tailor the front end as their liking.• Implemented extensive file and password encryption.• Used Beckhoff ADS as a comminution protocol between the machine and the software.