Samar Pratap Singh

Master of Science in Computer Science and Engineering

August 2022 - January 2024

University at Buffalo, The State University of New York, NY

Coursework: Analysis of Algorithms, Modern Network Concepts, Data Intensive Computing, Computer Vision and Image Processing, Machine Learning.

Bachelor of Technology in Computer Science and Engineering

July 2018 - May 2022

Vellore Institute of Technology, Vellore, India

Coursework: Problem Solving and Programming, Object Oriented Programming, Data Structures and Algorithms, Operating Systems, Computer Architecture, Database Management Systems, Data Visualization.

Machine Learning Engineer

Feb 2025 - Present

The Research Foundation for SUNY - Buffalo, NY

• Led development of a Large Language Model (LLM) platform with RAG pipelines, enabling context-aware responses for UB’s academic ecosystem.
• Built scalable ingestion pipelines for 100k+ documents, cutting query latency by 40% and boosting retrieval accuracy by 30%.
• Deployed containerized solutions with Docker, Kubernetes, and CI/CD, supporting 1,000+ concurrent academic queries.
• Partnering with researchers on cutting-edge AI projects, translating research into scalable, cloud-native applications.

Software Developer

Dec 2023 - Feb 2025

The Research Foundation for SUNY - Buffalo, NY

• Designed scalable web applications using Flask, NodeJS, ReactJS, and AWS, improving system reliability by 30% and handling 500+ weekly requests with efficient load balancing and monitoring.
• Optimized backend performance with Python and SQL, reducing data retrieval time by 40% and enhancing indexing/query optimization; integrated Okta for authentication.
• Enhanced front-end design with ReactJS, achieving a 25% increase in mobile traffic and 20% better user engagement.
• Integrated CI/CD pipelines and Agile workflows with Docker, Kubernetes, and system-level optimizations for efficient deployment.

Full Stack Developer

Dec 2024 - July 2025

Owting - Los Angeles, CA

• Developed and maintained backend and mobile applications, ensuring seamless integration between mobile apps and backend services, improving app responsiveness by 40%.
• Enhanced backend architecture using Node.js, NestJS, Firebase, and Express, cutting API response times by 30% and reducing server load by 20%.
• Managed MongoDB and GCP infrastructure, improving query performance by 35%.

Software Engineer

Feb 2022 - July 2022

Honeywell - Pune, India

• Developed ML model on Arduino for real-time CCTV object identification (20+ categories), with a web interface built in Angular, HTML, CSS, and JavaScript for live feeds and alerts.
• Used Python, TensorFlow, YOLO-v3, and MS-COCO dataset; integrated backend with Java Spring Boot and RestAPI for real-time management, improving safety compliance by 20%.