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Paul JamesPJ
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Paul James

@pauljames2001

AI Engineer building production-ready Generative AI systems—RAG pipelines, diffusion video generation, and modular agentic workflows.

India
Message

What I'm looking for

I’m looking to build deployable Generative AI products end-to-end—RAG, agentic workflows, and low-latency APIs—where I can design modular systems, ensure reliability in real environments, and keep pushing research into production.

I’m an AI Engineer focused on production-grade Generative AI systems, from retrieval-augmented (RAG) pipelines to diffusion-transformer video generation and multi-agent frameworks. At Talrop, I’m architecting a real-time AI Avatar chatbot, designing it as a modular RAG plugin system and building a low-latency FastAPI pipeline for retrieval and streaming delivery.

Earlier, I led system validation for a global pharmaceutical client at Tata Consultancy Services, strengthening my ability to deliver trustworthy AI in regulated environments through CAPA and rigorous QA. I also bring full-stack experience from React/Django work and have shipped projects like a WebRTC + chunked TTS avatar pipeline, neural-ODE forecasting with planner–executor agents, and medical CT→PET synthesis with CycleGAN—bridging research ideas into deployable solutions.

Experience

Work history, roles, and key accomplishments

TA
Current

AI Engineer (Intern)

Talrop

Dec 2025 - Present (6 months)

Architected a real-time AI Avatar chatbot using a modular Retrieval-Augmented Generation (RAG) plugin approach for context-aware, accurate organisational responses. Built an end-to-end FastAPI pipeline coordinating LLM inference, vector retrieval, and low-latency response delivery, collaborating with engineering and product leads on AI integration standards.

TS

Validation Lead

Dec 2022 - Jul 2024 (1 year 7 months)

- Led system validation for client projects, ensuring regulatory compliance in development and production.
- Conducted risk analysis to classify systems, utilizing risk levels to determine the requisite depth of testing,
documentation, and periodic reviews.
- Managed CAPA (Corrective and Preventive Action) to address deviations and maintain high quality
standards.

Education

Degrees, certifications, and relevant coursework

Cochin University of Science and Technology (CUSAT) logoCC

Cochin University of Science and Technology (CUSAT)

Master of Science (M.Sc.), Artificial Intelligence

2024 - 2026

Grade: CGPA: 8.5

M.Sc. in Computer Science with a specialization in Artificial Intelligence at CUSAT, with a CGPA of 8.5.

NT

Naipunnya Institute of Management and Information Technology

Bachelor of Science (B.Sc.), Computer Science

2019 - 2022

Grade: CGPA: 7.21

B.Sc. in Computer Science from Naipunnya Institute of Management and Information Technology, with a CGPA of 7.21.

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