Nithish Kumar Senthil Kumar
Senior Software Engineer (AI/ML, Data Science) @Johnson and Johnson | Virtusa | Master’s in Applied Data Science @Syracuse University | Experienced in AI, LLMs, MLOps, Big Data Analytics and Automating Workflows
- Role
- Senior Software Engineer - Ai Ml & Data Science at Johnson & Johnson
- Location
- Austin, TX, US
- LinkedIn followers
- 500 followers
About Nithish Kumar Senthil Kumar
I am a Senior Software Engineer with experience building data-driven applications, automation systems, and AI/NLP solutions for enterprise workflows. My work focuses on solving real-world problems by combining software engineering, data engineering, and intelligent automation.Over the past year, I have worked on developing document processing and critical information verification systems, automated executive summary generation tools, image processing applications, and data validation pipelines. These solutions have helped reduce manual effort, improve data accuracy, and streamline reporting and operational workflows.I have strong experience working with Databricks, where I build and maintain data pipelines, refactor legacy systems, and manage production workflows. I also work on workflow automation, internal tools, and UI applications that enable teams to interact with data and automation systems more efficiently.More recently, I have been working on Agentic AI systems and knowledge-driven workflows, focusing on building intelligent automation pipelines that can process user input, extract structured information, and drive decision-making processes.I enjoy building scalable systems, simplifying complex processes, and continuously learning new technologies to improve how systems and workflows operate.
Experience
Senior Software Engineer - Ai Ml & Data Science
Dec 2025 — Present · Raritan, NJ, US
Critical Information Verification Pipeline: Developed document processing and verification pipelines to extract critical information from technical and operational documents, validate extracted data against reference sources, and identify discrepancies or missing information. Designed automated workflows for document parsing, information extraction, validation, and reporting, significantly reducing manual document review effort and improving data accuracy and consistency across reports and systems.Foreign Matter Detection – Image Processing Tool: Developed an image processing application to detect foreign material in images using edge detection, contrast enhancement, contour detection, and bounding box identification, along with a UI tool to process and visualize detection results.Executive Summary & Report Automation: Built automated executive summary generation tools to extract root causes, actions, and key findings from reports and consolidate them into structured executive-level summaries.Databricks Pipelines, Migration & Maintenance: Worked on Databricks workspaces, jobs, and pipelines including legacy code refactoring, workflow migration, pipeline maintenance, scheduling, and debugging production workflows.Data Validation & Error Detection Pipelines: Developed automated pipelines for data validation and dosing error detection to improve data quality and reduce manual review effort.Tracer Project – Data Tracking & Workflow Automation: Currently working on data tracking and traceability workflows, building automation pipelines and monitoring tools for workflow tracking and reporting.
Education
Sagar International School
12th grade, CBSE
Syracuse University School of Information Studies
Master of Science - MS, Applied Data Science
Sagar International School
10th Grade
SRM IST Chennai
Bachelor of Technology - BTech, Computer Science
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