Anirudh S

• Built a predictive analytics POC to identify and forecast terminal gate congestion, supporting operational efficiency initiatives.
• Led QA testing efforts for the team's core application, improving software quality and validating critical business workflows.
• Delivered end-to-end full-stack solutions for internal web applications, from system design to deployment.
• Leveraged the company's AI

• Led the full-stack development of Math Commons, a learning platform built to support students with undergraduate math, from initial backend architecture to final deployment.
• Deployed backend services on Google Cloud Platform (GCP), strengthening cloud computing skills and ensuring a reliable, production-ready environment.
• Integrated backend services with the frontend to deliver a seamless an

• Built core backend features for Sisyphus, the company’s flagship platform—focusing on the Writer Tool, a key feature that helps users draft research papers more effectively.
• Designed and developed scalable RESTful APIs with FastAPI, ensuring smooth and reliable performance across the system.
• Improved database performance by optimizing schemas and queries using PostgreSQL and Prisma ORM, redu

• Actively contributed to various open-source projects spanning domains such as computer vision, data structures and algorithms, machine learning, and data visualization.
• Successfully merged 5 pull requests (PRs), demonstrating ongoing commitment and impactful contributions to the community.

• Gained expertise in developing and optimizing RESTful APIs using Django Rest Framework (DRF).
• Documented and integrated APIs effectively with Swagger.
• Learned to containerize applications and streamline development workflows using Docker.
• Utilized AWS S3 to manage and store static and media files efficiently.

Fine-tuned Meta Llama 3B-Instruct for domain-specific UPF code generation and integrated RAG techniques. Worked with Hugging Face, LangChain, and Transformers, and developed a Gradio interface.

• Fine-tuned the Meta Llama 3B-Instruct model for domain-specific UPF code generation.
• Integrated RAG techniques to enhance accuracy and relevance in the code generation process.
• Worked extensively with Hugging Face, LangChain, and Transformers to streamline workflows.
• Developed a Gradio interface for real-time query handling and UPF code generation.

Pursuing a Bachelor of Engineering in Information Science, expected to graduate in 2026.