Saravan Pathapati Email & Phone Number

United States

• Developed Python connectors and integrated databases using RESTful APIs in FastAPI, enabling seamless data exchange betweeninternal and external systems.
• Designed and implemented webhooks for real-time notifications, integrating with third-party services to automate event-drivenupdates and enhance system monitoring.
• Utilized Swagger for API design and documentation, streamlining integration processes and improving service communication.
• Optimized database queries and API performance, ensuring enhanced scalability and reliability of the overall system.
• Applied Test-Driven Development (TDD) to ensure code quality and robustness, writing unit tests for backend features.Technologies Used: Python, FastAPI, Swagger, RESTful APIs, Webhooks, SQL, NoSQL, Git, Test-Driven.

Baltimore, Maryland, United States

• Developed an intelligent tutoring system using Rust and LLMs, leveraging OpenAI embeddings and RAG for adaptive learning.
• Fine-tuned LLMs to deliver accurate, context-aware tutoring responses, enhancing the user experience with real-time engagement.
• Architected the system with a focus on performance and scalability, utilizing Vertex AI and cloud-based data management solutions.
• Integrated advanced Rust techniques and ML algorithms to dynamically generate tutoring content for individual user.
• Optimized database queries and inference pipelines for improved content delivery using Vertex Database and Chroma.
• Collaborated with cross-functional teams to refine the learning system’s performance and enhance the delivery of tutoring content.Technologies Used: Rust, LLMs, OpenAI Embeddings, RAG, Vertex Database, SQL, Chroma.

India

• Developed and deployed machine learning models for predictive maintenance on IoT vending machines, improving optimization.
• Analyzed large-scale sensor data using anomaly detection and supervised learning algorithms to mitigate risks.
• Preprocessed and transformed raw data, extracting key features for model training and evaluation to improve model accuracy.
• Collaborated with teams to deploy solutions in production, contributing to improved system reliability and uptime.
• Utilized predictive analytics to identify critical faults, ensuring proactive maintenance and reducing machine downtime.Technologies Used: Python, Machine Learning, IoT, Anomaly Detection, Supervised Learning, Data.

Master'S Degree, Computer Science, 3.3

Master Of Science - Ms, Computer Science

Bachelor Of Technology - Btech, Computer Science