Headline

Prompt Engineer | AI Workflow Automation | LLM Evaluation | Open to Netherlands Roles (HSM Visa Eligible)

About

I build AI-powered systems that bridge efficiency and automation — applying enterprise rigor from my work at HCL Technologies to innovative personal projects. Professional Impact: At HCL (USAA Insurance Project), I architected a multi-model LLM pipeline that automated crash report extraction from unstructured police reports, feeding structured data directly into Guidewire Claims. This initiative reduced manual processing time by 40% and reduced rework errors by 25% across the analyst team through systematic prompt evaluation (GPT-4, Claude, Gemini). Independent Innovation: I am currently building Luxembourg Job Hunter AI, a tool leveraging the Claude API and prompt engineering to automate CV-job matching, identify keyword gaps, and generate tailored application materials — demonstrating end-to-end AI workflow integration and structured JSON output parsing. Technical Focus: Prompt Engineering | LLM Evaluation | AI Workflow Automation | React | Google Cloud Platform | API Integration (Claude, OpenAI) Relocation & Sponsorship: Authorized to work in India. Actively seeking employment in Luxembourg 🇱🇺, the Netherlands 🇳🇱, or Ireland 🇮🇪 with full visa sponsorship under the EU Blue Card, Highly Skilled Migrant (Kennismigrant), or Critical Skills programs. Education: MBA (HR & Marketing) | B.Com (Finance) Let's connect if you're scaling AI-driven automation in Insurance, FinTech, or HR Tech across Europe. 📩 prswaminathan001@gmail.com | github.com/pkswaminathan001

Location

Chennai

Work experience

Business Process Service Analyst at HCLTech, Aug 2024 - Present · 1 yr 10 mos, Chennai, Tamil Nadu, India, Promoted to lead AI Automation initiatives for USAA insurance workflows. • Directed AI-powered automation workflows using Claude, ChatGPT & Gemini to extract and structure crash-report data for Guidewire integration — reducing manual processing time by 70%. • Designed prompt engineering frameworks for insurance claims validation, enabling consistent Multi-LLM outputs across USAA workflows. • Validated and reconciled claims data across GWCC, Guidewire, Police Reports & CV systems — transforming inconsistent inputs into structured outputs for leadership reporting. • Reduced rework errors by 25% by designing systematic QC checklists and validation workflows adopted team-wide. • Produced KPI dashboards and operational reports for leadership, ensuring accurate decision-making on claims volume and workflow bottlenecks. • Collaborated with US-based stakeholders to resolve complex data discrepancies, improving cross-team handoff efficiency. 🔗 Portfolio: https://pkswaminathan001.github.io/portfolio/ Skills: Prompt Engineering · Multi-LLM Orchestration · Guidewire · Insurance Claims · AI Automation · BFSI Operations · KPI Tracking · Stakeholder Management

Process Associate at HCLTech, Jan 2024 - Jul 2024 · 7 mos, Chennai, Tamil Nadu, India, USAA (Charge Back & Police Report @ Accident), Office Depo (Customer Resolution), Exxon Mobil 22 Jan 2024

Process Associate at HCL Technologies, Jan 2023 - Present · 3 yrs 5 mos, Identified and developed an LLM prompt pipeline to auto-extract, classify, and structure crash-report data from unstructured U.S. police reports, feeding outputs directly into Guidewire Claims — cutting manual processing time by 40% and achieving permanent adoption by the operations team. Designed and iteratively refined prompt templates across GPT-4, Claude, and Gemini, evaluating each model on accuracy, output consistency, and latency to identify optimal configurations for production deployment. Built systematic evaluation frameworks to benchmark AI output quality — including edge-case testing, failure-mode analysis, and structured QC checklists — reducing rework errors by 25% across the analyst team. Engineered structured prompt workflows to extract vehicle, driver, and incident data from unstructured report text, transforming multi-source inputs (GWCC, Guidewire, police reports) into clean structured outputs. Communicated prompt engineering concepts and AI deployment strategies to non-technical senior stakeholders, driving cross-functional adoption of AI-powered digital workflows. Maintained 99.2% claims accuracy across 6,000+ transactions through rigorous data validation and QC processes. Built and maintained Excel-based KPI tracking models and management dashboards, leveraging AI tools to accelerate data modelling and reporting accuracy.

Human Resources Intern at HiCare Pharma Pvt Ltd, Apr 2022 - May 2022 · 2 mos, • Conducted behavioural research study with 69 participants on self-medication trends; surfaced key patterns and recommended process improvements for study reporting.

Human Resources Intern at Linux Laboratory Pvt Ltd, Jan 2022 - Mar 2022 · 3 mos, • Supported end-to-end recruitment screening and employee documentation; delivered data-driven recommendations to hiring managers, improving candidate–fit and accelerating onboarding timelines.

Education

Master of Business Administration - MBA, Marketing and human resources management, Saveetha School of Management

Bachelor of Commerce - BCom, Business, Finance, SRM IST Chennai