# Bharath Natarajan > AI and ML Engineer | Tech Catalyst | Data and AI | PwC UK Location: London, England, United Kingdom Profile: https://flows.cv/bharathnatarajan I am an AI and Cloud engineer with over 13 years of experience in designing and delivering production-scale AI and Generative AI platforms. I lead initiatives and co-develop technologies like Retrieval-Augmented Generation (RAG), Agentic AI, and Azure ML to enhance productivity, compliance, and decision-making across industries such as insurance, financial services, and risk management. I have contributed to developing agentic AI assistants and RAG microservices that have accelerated underwriting, improved claims handling, and automated regulatory reviews, achieving measurable productivity gains of over 50% in several workflows. I am passionate about applied AI, multimodal GenAI, and the evolving intersection of machine learning and enterprise transformation, especially in how intelligent systems can augment human expertise responsibly and at scale. ## Work Experience ### Specialist Engineer | Tech Catalyst | Data and AI | PwC UK @ PwC UK Jan 2023 – Present | London, England, United Kingdom Driving GenAI-Powered Transformation in Insurance & Regulatory Tech I lead the design and deployment of GenAI and RAG microservices that transform underwriting, claims, and compliance workflows for insurers, delivering measurable gains in productivity, accuracy, and turnaround. 🔹 Underwriting & Legal Automation Led the build of a Python-based, microservice Retrieval-Augmented Generation (RAG) platform, accelerating contract renewal reviews by 50%. Introduced a LangGraph-based ingestion pipeline using Pydantic, Docker, and GitHub Actions, cutting manual data errors by 20%. Streamlined legal wording reviews from 5 to 2 days through GenAI-powered workflow optimization. 🔹 Claims Handler AI Copilot Pioneered an agentic RAG assistant using GPT-4o, LangGraph agents, and vector search—boosting document review efficiency by over 50%. Delivered AI-generated evidence summaries and next-best-actions via custom entity extraction, saving up to 63% investigation time. 🔹 Regulatory Compliance AI Engineered GenAI microservices to automate extraction and validation of FCA/PRA obligations, enhancing compliance team efficiency by 40%. Aligned AI-driven rules with PRA/FCA Handbook using RAG and GPT-4o, and enabled real-time GRC monitoring with Kafka integrations. 🔹 Policy Summarisation Platform Delivered a greenfield solution using Vertex AI, Cloud Vector Search, and hybrid retrieval to reduce 100+ page insurance policies to digestible 1-page briefs. Achieved a 0.88 F1 score against SME gold standards using Deep Eval. 🔹 Indemnity Evidence Pipeline Built a GenAI + Pydantic NLP system to extract key facts from claimant documents—reducing investigation time per claim by 50% and improving triage speed via custom entity recognition. ### Senior Specialist @ HCLTech Jan 2022 – Jan 2023 | Liverpool Street, England, United Kingdom Statistical Modelling | Predictive Analytics | ML Model Integration Led end-to-end development of advanced statistical models and analytics tools to extract insights, segment customers, and operationalize data science solutions across cloud environments. 🔹 Customer Segmentation & Sentiment Analysis • Developed K-Means clustering models to segment users by income, spending patterns, and credit behavior • Built and deployed a sentiment analysis system to classify and score hotel reviews, enhancing customer experience analytics 🔹 Predictive Modeling & Validation • Designed, validated, and deployed regression-based analytical tools including decision trees, random forests, and ensemble models • Applied bagging and boosting techniques to optimize model performance and ensure robustness across diverse datasets 🔹 Dimensionality Reduction & Bayesian Modeling • Used Principal Component Analysis (PCA) to address multicollinearity and simplify complex datasets • Integrated Bayesian Model Averaging (BMA) to combine and calibrate keyword-level prediction models, improving forecasting accuracy ### Senior Specialist @ HCLTech Jan 2018 – Jan 2022 | Chennai Area, India ⚙️ DevOps & DataOps Enablement | CI/CD Automation | Cloud Optimization Drove enterprise-wide DevOps transformation by leading automation, cloud integration, and CI/CD pipeline initiatives—accelerating deployment cycles, reducing manual overhead, and cutting infrastructure costs. 🔹 DataOps & Cloud Integration • Designed and managed data pipelines to support ML microservices across AWS and GCP • Deployed scalable, containerized model delivery workflows with automated testing, enabling continuous delivery for data science teams 🔹 DevOps Tooling & Automation • Oversaw end-to-end setup, Dockerization, and maintenance of core DevOps tools across the organization • Automated provisioning of TeamCity servers, build agents, and Apache services using Ansible, reducing manual tasks by 90% • Upgraded TeamCity from v9.1.7 to v2019.2.1 seamlessly, boosting CI/CD performance by 65% 🔹 Application Development • Delivered zero-defect features for the in-house Enterprise Deployment Tool (EDT), enhancing deployment reliability • Developed a single-click onboarding solution to automate DevOps setup for new teams, improving time-to-readiness 🔹 Cloud Enablement & Cost Optimization • Led secure adoption of public cloud infrastructure, cutting infrastructure spend by 45% through efficient provisioning and usage strategies ### Analyst System Development @ Verizon Jan 2016 – Jan 2018 | Chennai Area, India 🤖 ML Engineering | MLOps | DevOps Automation | Cloud-Native Architecture Delivered scalable machine learning solutions and automated DevOps workflows across cloud infrastructure, accelerating model lifecycle, reducing costs, and enhancing security and developer onboarding. 🔹 Machine Learning Operations (MLOps) • Built and maintained end-to-end pipelines for training, validation, and deployment of ML models • Implemented production-grade monitoring to track model performance, drift, and degradation over time 🔹 Predictive Modeling & Analytics • Developed a telecom churn prediction engine using KNN and logistic regression for customer retention initiatives • Directed full-cycle development and evaluation of predictive models including decision trees, random forests, and ensemble techniques (bagging & boosting) 🔹 DevOps Automation & Cloud Architecture • Architected CI/CD pipelines for Java applications and hosted core DevOps tooling in AWS, streamlining onboarding and release workflows • Re-architected Java apps using AWS Lambda, API Gateway, and RDS—achieving 30% infrastructure cost savings • Enhanced application availability and security through WAF, GuardDuty, AWS Config, ELB, auto-scaling, and CloudWatch 🔹 Key Achievements • Built a web app to auto-generate AWS CloudFormation templates and Ansible playbooks, reducing manual setup time by 80% • Integrated ServiceNow and Jira into in-house solutions, eliminating third-party integration costs and saving $1,140 in licensing fees ### Senior Software Engineer @ Accenture Jan 2013 – Jan 2016 | Bengaluru Area, India 💻 Full-Stack Java Development | Application Modernization | DevOps Integration Contributed to the development and optimization of enterprise applications using Java, Spring, Struts, and Hibernate, enhancing system performance and automating core business processes. 🔹 Application Development & Support • Revamped the IRIS enterprise application using Spring, Struts, and Hibernate, resulting in a 60% improvement in performance • Designed and implemented DevOps pipelines to automate Java web app deployments, improving release efficiency by 40% 🔹 Enterprise Automation & Process Optimization • Developed a highly efficient ERP application to manage employee lifecycle processes including payroll, hiring, and resource management • Engineered automation in Documentum-based research management tools, reducing manual document handling by over 90% 🔹 Key Technologies Java · Spring MVC · Hibernate · Struts · DevOps · Documentum ### Trainee Software Engineer, Java Development @ Gowdanar Technologies Pvt Ltd. Jan 2012 – Jan 2013 | Bengaluru Area, India Built highly optimal ERP application using Java, Spring and Hibernate to manage company data and streamline employee management tasks like payroll, hiring, and other duties. ## Education ### PG Diploma in Artificial Intelligence and Machine Learning International Institute of Information Technology Bangalore ### Bachelor of Engineering (B.E.) in Electronics and Communications Engineering Shri Balaji Chockalingam Engineering College(Affiliated to Anna University, Chennai) ### Diploma in Electrical, Electronics and Communications Engineering Sri Venkateshwara Polytechnic ## Contact & Social - LinkedIn: https://linkedin.com/in/bharathnatarajanuk - Website: https://www.pwc.co.uk --- Source: https://flows.cv/bharathnatarajan JSON Resume: https://flows.cv/bharathnatarajan/resume.json Last updated: 2026-04-05