Nagarjunan Saravanan

About Nagarjunan Saravanan

I’m a Master’s student in Computer Science at SUNY Binghamton (graduating May 2026) specializing in Computer Vision, Perception, and Machine Learning systems. My focus is on building real-world perception pipelines that bridge research and deployment spanning visual understanding, multimodal fusion, and production-grade ML.Currently, I’m an AI/ML Intern at Uplifty AI, where I design end-to-end image moderation and safety pipelines, integrating perceptual hashing, NSFW classification, OCR signals, and rule-based decision systems. My work emphasizes low-latency inference, scalable deployment, and measurable evaluation, supporting real-world content safety workflows.I’m also a Research Assistant at the Marine Robotics Lab, working on sonar–vision fusion using BlueBoat USV datasets to advance underwater perception and mapping. My research interests include open-vocabulary detection, multimodal perception, and robust sensing in unstructured environments.Before my master’s, I spent ~6 years as a software engineer at State Street and TCS, building large-scale enterprise systems. This background gives me a strong engineering foundation that I now apply to ML and perception focusing on system reliability, data pipelines, deployment discipline, and reproducibility, not just model performance.I’m actively seeking entry-level / new-grad, Associate Level roles in Computer Vision, Perception, Machine Learning, and Applied AI, where I can contribute to real-world intelligent systems in robotics, autonomy, and visual AI. Interests: Computer Vision • Perception Systems • Open-Vocabulary Detection • Multimodal Fusion • Applied ML • Robotics & Autonomous Systems

Experience

1. Research Assistant

   Thomas J. Watson College Of Engineering And Applied Science, Binghamton University

   Aug 2025 — Present · Binghamton, NY, US

   Conducted field deployments using BlueBoat USV, collecting real-world sonar data from side-scan sonar and single-beam echosounder (SBE) to support bathymetric mapping and marine perception research.• Installed, configured, and operated ROS Noetic for robotic perception workflows, enabling synchronized sensor data acquisition and processing.• Researching and prototyping multi-sensor fusion algorithms integrating heterogeneous sonar modalities to improve underwater mapping accuracy and robustness.• Working at the intersection of robot perception, marine robotics, and applied computer vision, with emphasis on real-world deployment constraints.

Education

• Madras Institute of Technology Campus

  Bachelor of Engineering, Electronics and Communications Engineering

  2014 — 2018

• CEOA Matriculation Higher Secondary School

  HSC, Mathematics and Computer Science

• Thomas J. Watson College of Engineering and Applied Science, Binghamton University

  Master of Science - MS, Computer Science