AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Lead AI/ML Engineer | Enterprise RAG · LLMOps · Agentic AI | 15+ Years Building Production AI Systems | Azure · LangChain · MLOps
I specialise in taking LLM and RAG systems from architecture to production, in environments where accuracy, compliance, and auditability are not optional.Over 15 years, I have worked across logistics, automotive, and enterprise technology. My most recent chapter was at DHL Group, where I led the design and delivery of three production GenAI systems deployed across multiple countries and business units. The work that best reflects what I do: → A support intelligence platform built on Azure OpenAI and RAG, integrated end-to-end with ServiceNow. It read incoming tickets, matched them against historical cases, and injected resolution recommendations automatically. Mean time to resolve dropped from 5 days to 2. → A customs document extraction pipeline that replaced a brittle rule-based system with an LLM-powered one, complete with PII detection, HITL validation, and regional compliance controls. Accuracy improved by 40%. → A knowledge chatbot that made internal documentation actually searchable, pulling from 100+ Confluence pages and Jira in natural language. What sets my work apart is the bridge between technical delivery and business impact. I work closely with stakeholders to identify where AI creates real value, and I build governance frameworks that give compliance and risk teams the confidence to say yes. Core stack: · Python · Anthropic Claude · OpenAI · LangChain/LangGraph · LangSmith · Qdrant · MLflow · FastAPI · Kubernetes (AKS) · Docker · CI/CD · Prompt Engineering · Context Engineering · AI Governance Based in London. Open to Lead and Senior AI Engineer roles in fintech, banking, and enterprise AI where production rigour and responsible AI matter. 📩 me.pandiyarajan@gmail.com
Madha Engineering College
Bachelor of Engineering (B.E.), Computer Engineering
June 1, 2006 – May 1, 2010
Tesco
Senior AI Engineer
May 1, 2026 – Present
Delhi, Delhi, India
Atlantis Technology Solutions
Lead AI/ML Engineer
October 1, 2025 – May 1, 2026
Mumbai, Maharashtra, India
DHL IT Services
Lead AI/ML Engineer
January 1, 2025 – August 1, 2025
DHL IT Services
Senior Machine Learning Engineer
August 1, 2022 – January 1, 2025
Tata Elxsi
Machine Learning Engineer
April 1, 2017 – August 1, 2022
Chennai, Tamil Nadu, India
Kutung Design Labs.
Mobile Application Developer
December 1, 2014 – April 1, 2017
Chennai, Tamil Nadu, India
Jems Network Solutions
Web Application Developer
October 1, 2012 – December 1, 2014
Chennai, Tamil Nadu, India
Team B Services Private Limited
Software Engineer
January 1, 2012 – October 1, 2012
Chennai, Tamil Nadu, India
Ninestars Information Technologies Pvt. Ltd.
Executive QC
August 1, 2011 – January 1, 2012
Chennai, Tamil Nadu, India
BUSINESS FUNDAMENTALS: EFFECTIVE COMMUNICATION
The Open University
June 5, 2026 – Present
THE INTERNET OF THINGS
King's College London
June 5, 2026 – Present
PH125.2X: Data Science: Visualization
HarvardX - An Online Learning Initiative by Harvard University through edX
June 5, 2026 – Present
HarvardX Professional Certificate - Data Science
HarvardX - An Online Learning Initiative by Harvard University through edX
June 5, 2026 – Present
PH125.8x: Data Science: Machine Learning
HarvardX - An Online Learning Initiative by Harvard University through edX
June 5, 2026 – Present
Intermediate SQL for Data Scientists
June 5, 2026 – Present
Advanced SQL for Data Scientists
June 5, 2026 – Present
DevOps for Data Scientists
June 5, 2026 – Present
Generative AI with Large Language Models
DeepLearning.AI
June 5, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse career trajectory, starting from web/mobile development and transitioning into AI/ML, indicating adaptability. The range of companies (Tesco, DHL, Tata Elxsi) suggests experience in different corporate environments. The numerous certifications, especially in Data Science and Generative AI, show a proactive approach to skill acquisition, which aligns with a culture of continuous improvement. However, the lack of detailed project descriptions makes it challenging to assess collaboration styles or specific contributions to team culture.
Soft Skills & Operational Fit
The candidate's resume lists 'Communication', 'Problem Solving', and 'Team Leadership' as skills, suggesting an awareness of key soft skills. However, without specific project descriptions or interview data, it's difficult to assess the depth and real-world application of these skills. The progression into lead roles implies some level of operational fit and ability to manage teams.