Available to hire
Hi there, I’m Nikhil Thomas John, an AI Research Scientist specializing in LLMs, RAG systems, and production ML deployment. I love turning complex data problems into practical, measurable business outcomes across enterprise and startup environments. I also hold Australian Permanent Residency.
I earned my MSc in Data Science with Distinction from the University of Bath and have 3+ years of hands-on experience building generative AI solutions, live dashboards, and scalable ML pipelines. I’m currently based in Bath, UK, and open to opportunities across international teams.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Language
English
Fluent
Work Experience
Research AI Engineer at In Cyan
October 1, 2025 - October 1, 2025Developed a robust end-to-end video watermarking system using spatial frequency modulation, optimized for resilience to distribution distortions while preserving video quality (PSNR/SSIM). Engineered advanced agentic AI workflows and a private LLM + RAG system, automating complex processes and enabling secure, localized data interaction via a chat interface. Redesigned the classification pipeline using Naive Bayes and augmented data with Llama3, achieving 7.2x faster inference on 3M+ articles while maintaining 94% accuracy and reducing AWS costs by 45%. Built a live client-facing dashboard to translate model statistics into actionable insights for stakeholders.
Data Designer (Contract) at Method
March 1, 2024 - March 1, 2024Drove measurable uplift in operational efficiency by automating team workflows and developing an LLM-powered Slack bot to streamline communication and boost project productivity. Partnered with product and design teams to identify platform enhancements through quantitative analysis, presenting AI-driven insights that informed Q1 2024 road map decisions.
Data Scientist (Placement) at Analog Devices
September 1, 2023 - September 1, 2023Led the integration of a Large Language Model with a Neo4j Knowledge Graph, enabling natural language querying of complex structured data while ensuring data integrity. Architected and deployed a dynamic Knowledge Graph from large, complex data sets using Python and Neo4j, leveraging custom ontologies for enhanced semantic clarity. Automated competitive intelligence by engineering a specialized Python web scraper, delivering real-time monitoring and stakeholder notifications.
Associate Data Scientist (Intern) at Discover Dollar
January 1, 2021 - July 31, 2021Contributed to building systems implementing Topic Modeling, Relationship Extraction, and Knowledge Graphs to analyze unstructured data and derive business insights. Developed an optimized algorithm for duplicate payment detection, tackling complex scenarios to identify and recover potential financial losses.
Associate Data Scientist (Intern) at Discover Dollar
July 1, 2021 - July 1, 2021Contributed to building systems implementing Topic Modelling, Relationship Extraction, and Knowledge Graphs to analyse unstructured data and derive business insights. Developed an optimized algorithm for duplicate payment detection, tackling complex scenarios to identify and recover potential financial losses.
Education
Master of Science in Data Science (Distinction) at University of Bath
January 1, 2021 - January 1, 2023B.Tech in Electronics and Communications at VIT Chennai
January 1, 2017 - January 1, 2021MSc in Data Science (Distinction) at University of Bath
January 1, 2021 - January 1, 2023B.Tech in Electronics and Communications at VIT Chennai, India
January 1, 2017 - January 1, 2021Qualifications
Industry Experience
Software & Internet, Media & Entertainment, Professional Services, Education, Other
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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