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I'm Pradeep Varma, an AI Architect and Data Scientist with 10+ years of experience designing scalable AI systems and production ML pipelines. I have led cross-functional teams across healthcare, finance, education, and enterprise technology, specializing in multi-agent architectures and context-rich retrieval-augmented generation. I design solutions that are secure, compliant, and production-ready, with a focus on Azure, AWS, and GCP deployments. I enjoy turning complex problems into repeatable, auditable workflows that empower researchers and business stakeholders alike, ensuring model outputs are grounded in approved sources and aligned with research objectives.…I'm Pradeep Varma, an AI Architect and Data Scientist with 10+ years of experience designing scalable AI systems and production ML pipelines. I have led cross-functional teams across healthcare, finance, education, and enterprise technology, specializing in multi-agent architectures and context-rich retrieval-augmented generation. I design solutions that are secure, compliant, and production-ready, with a focus on Azure, AWS, and GCP deployments. I enjoy turning complex problems into repeatable, auditable workflows that empower researchers and business stakeholders alike, ensuring model outputs are grounded in approved sources and aligned with research objectives.

Pradeep Varma

Data Scientist, AI Engineer, Developer, +2

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I'm Pradeep Varma, an AI Architect and Data Scientist with 10+ years of experience designing scalable AI systems and production ML pipelines. I have led cross-functional teams across healthcare, finance, education, and enterprise technology, specializing in multi-agent architectures and context-rich retrieval-augmented generation. I design solutions that are secure, compliant, and production-ready, with a focus on Azure, AWS, and GCP deployments. I enjoy turning complex problems into repeatable, auditable workflows that empower researchers and business stakeholders alike, ensuring model outputs are grounded in approved sources and aligned with research objectives.…I'm Pradeep Varma, an AI Architect and Data Scientist with 10+ years of experience designing scalable AI systems and production ML pipelines. I have led cross-functional teams across healthcare, finance, education, and enterprise technology, specializing in multi-agent architectures and context-rich retrieval-augmented generation. I design solutions that are secure, compliant, and production-ready, with a focus on Azure, AWS, and GCP deployments. I enjoy turning complex problems into repeatable, auditable workflows that empower researchers and business stakeholders alike, ensuring model outputs are grounded in approved sources and aligned with research objectives.

Available to hire

I’m Pradeep Varma, an AI Architect and Data Scientist with 10+ years of experience designing scalable AI systems and production ML pipelines. I have led cross-functional teams across healthcare, finance, education, and enterprise technology, specializing in multi-agent architectures and context-rich retrieval-augmented generation. I design solutions that are secure, compliant, and production-ready, with a focus on Azure, AWS, and GCP deployments.

I enjoy turning complex problems into repeatable, auditable workflows that empower researchers and business stakeholders alike, ensuring model outputs are grounded in approved sources and aligned with research objectives.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

AI Context Engineer at Oxford Nanopore

June 1, 2025 - Present

Built a context-aware multi-agent AI lab assistant to support sequencing operations and protocol discovery, applying agentic RAG to ground responses in approved sources. Implemented manager–subagent architecture with Azure OpenAI and AI Agent SDK; deployed on Kubernetes; integrated secure data pipelines and middleware to enable scalable, compliant workflows.

AI Context Engineer at Luminance

February 1, 2024 - June 1, 2025

Engineered context assembly for taxonomy extraction of long contracts, preserving legal meaning through chunking and token controls. Implemented citation-led prompting to anchor clause characterizations to retrieved evidence and built agentic workflows combining RAG with tooling for taxonomy labeling. Automated evaluation and standardized interfaces for tool use; productionized reusable context patterns.

Generative AI Specialist at NatWest

November 1, 2022 - January 1, 2024

Built a RAG-powered sales-assist chatbot to answer product and process questions with grounded, consistent responses; designed ingestion pipelines for internal collateral; deployed on AWS Bedrock and OpenSearch with hybrid retrieval and reranking; implemented automated evaluation (RAGAS, G-Eval) to track faithfulness and relevance.

ML-Ops Engineer (Azure) at Tesco

July 1, 2021 - November 1, 2022

Supported model generation and deployment using ML-Ops best practices; built training and inference pipelines, maintained model registry and retraining procedures; designed CI/CD pipelines and containerized deployments on AKS; provided performance tuning and cost-efficiency improvements.

Senior Data Scientist at UK Health Security Agency

April 1, 2020 - June 1, 2021

Delivered demand forecasting and optimization for national Covid-19 testing operations; integrated laboratory capacity, test arrivals and kit usage into planning data; formulated ARIMA forecasts and rolling backtests; designed optimisation models balancing service levels and cost under capacity constraints; produced decision-ready analyses for stakeholders.

Data Quality Engineer at Ruskin Mill Trust

January 1, 2019 - March 1, 2020

Supported rollout of a new access control system by assessing legacy data, defining migration mappings, deduplicating records, and performing reconciliations; produced admin guides and improved data architecture to stabilise reporting.

Data Scientist at Capgemini

June 1, 2017 - December 1, 2018

Automated validation of model/code changes against a shared basemodel; developed Python test scripts, containerised tests with Docker, and provisioned environments with Ansible; integrated checks into Bamboo and drove improvements in test coverage; collaborated with engineers to surface edge cases.

Systems Engineer- Python Developer at TCSI

December 1, 2014 - May 1, 2017

Wrote Python parsers to validate XML feeds, mapped fields to SQL Server tables, and used NumPy/Pandas to cleanse data; automated secure SFTP transfers with retries; implemented reconciliation checks and runbooks to support reliable data loading and deployments.