PhD in Machine Learning
VIT, Vellore · 2020 · GPA 9/10
Completed doctoral research on rumor detection and control with deep learning.
Dr. Santhoshkumar
Senior ML Engineer | Senior Data Scientist
I turn machine learning ideas into enterprise AI systems that customers trust and businesses rely on.
At Eurowings (Lufthansa Group), I work with stakeholders through the full cycle—from ideation to production systems that millions of users depend on daily. I balance accuracy, latency, cost, and maintainability in every AI system I build.
Highlights
- First scalable AI application serving 4 million customers daily
- Fully automated MLOps improving CSAT from 32% → 74%
- Introduced AI Agents, CI/CD, and modern ML practices to the team
- My strength: designing AI systems that balance accuracy, latency, cost, and maintainability
LLM & RAGAI AgentsSemantic SearchMLOps & LLMOpsDatabricksAzureProduction ML
Eurowings Digital GmbH • Europe | Remote
Production AI Hands-on & Leadership
Senior ML Engineer / Data Scientist
Current Focus
LLM, RAG, AI Agents, MLOps & LLMOps
Production
13+
Years
End-to-end enterprise application delivery
2012-2016: Backend (Java) Engineering → Team Lead (Enterprise Engineer)
2016-2020: PhD (ML) + Team Leadership (Research & Leadership)
2020-2022: Enterprise Analytics (Hitachi) (ML & Backend)
2022-2026: Enterprise AI Systems (Lufthansa Group)
5
Flagship Systems
Search, RAG, MLOps, Forecasting, AI Agent. 91% recall@10, 40ms P99 latency.
Proven Impact
- First scalable AI application serving 4 million customers daily
- Fully automated MLOps improving CSAT from 32% → 74%
- Introduced AI Agents, CI/CD, and modern ML practices to the team
Enterprise AI Systems
Production AI systems built for enterprise scale. From search to RAG to MLOps infrastructure.
⭐ Flagship Project
🔍Eurowings · Lufthansa Group • 4-month production rollout
AI-Powered Semantic Search
Enterprise search powered by embeddings, retrieval, and LLMs
Built a production AI onsite search platform for airline e-commerce that understands natural-language questions, user typos, semantic variations, and FAQ intent across nine European languages.
🏗️ Architecture Highlights
- •Nuxt.js website and backend search API
- •Daily Databricks ETL ingests website pages and FAQ Q&A pairs into governed Delta tables.
- •Smart token-boundary chunking creates web-page chunks up to 500 tokens and FAQ chunks up to 80 tokens.
Semantic SearchRAGHybrid RetrievalVector SearchE5 LargeGPT-4LlamaIndexDatabricksUnity Catalog
📈 Impact
💡 Why it matters
Traditional keyword matching on airline e-commerce platform struggled with natural-language questions, typos, semantic variations, and multilingual intent. High zero-result rates made it harder for customers to find answers and increased avoidable support demand. The objective was a production-grade search engine that could surface accurate FAQ answers and handle changing web content reliably.
Career Journey
13+ years building ML systems: from research to enterprise AI platforms at scale
10+ Years Team Leadership
From Software Teams to ML Teams · 2016-Present
Led software delivery teams (2016-2020), then transitioned to leading ML engineering teams building production AI systems (2020-present). Coordinated across product, engineering, and support organizations to deliver customer-facing AI platforms.
13+ Years in Industry
From Java/AEM to Production AI
Progressed from enterprise software engineering to ownership of production AI systems.
Key Leadership Responsibilities
- Technical lead for enterprise AI initiatives involving product managers, software engineers, data scientists, and business stakeholders.
- Designed end-to-end AI architectures from requirements gathering through production deployment and monitoring.
- Standardized reusable MLOps patterns using Azure Databricks and MLflow to accelerate ML delivery.
- Collaborated across engineering and business teams to translate customer problems into production AI solutions.
- Mentored engineers on production ML practices, evaluation methodologies, and system design.
Europe
Eurowings Digital GmbH
Senior ML Engineer | Senior Data Scientist
July 2022 – Present
Led end-to-end development of 5 production AI systems across aviation and e-commerce domains. Architected semantic search (91% recall@10, 40ms P99), RAG solutions, MLOps/LLMOps pipelines, and AI agents. Achieved €420K annual savings through 18% support call reduction and 110% search satisfaction improvement. Technical lead for AI strategy and cross-functional delivery.
Semantic SearchRAGAI AgentsMLOps & LLMOps
Pune, India
Hitachi Vantara (Hitachi Data Systems)
Senior Consultant (SC2)
July 2020 – June 2022
Contributed to enterprise data analytics initiatives. Led cross-functional teams across analytics and machine learning models. Successfully delivered enterprise analytics solutions for global customers and led multidisciplinary teams to complete projects within scope and timelines.
JavaAWSAWS EC2Scikit-learn
Bangalore, India
Relevance Lab
Team Lead
April 2016 – July 2020
Led a team of 10+ professionals across project planning, execution, and delivery. Coordinated stakeholder communication and mentored team members. Ensured quality standards and delivery timelines were consistently met.
JavaKafkaDockerAWS
Bangalore, India
Sapient
Associate Technology L2
September 2014 – April 2016
Developed web applications using Adobe Experience Manager (AEM). Built backend services with Java and front-end solutions with JavaScript, HTML, and CSS. Contributed to enterprise digital experience platform delivery.
JavaAWSAEMJavaScript
Chennai, India
Cognizant
Programmer Analyst
December 2012 – August 2014
Developed enterprise Java applications and web services. Built scalable backend systems and contributed to full-stack development projects for global enterprise clients.
JavaAWSAEMWeb Services
Scroll horizontally to explore the timeline
13+
Years
5
Companies
5
Systems Shipped
10+
Team Leadership
🎓Education
Academic foundation in ML research and software engineering
Ph.D. in Information Technology
Vellore Institute of Technology
2014 – 2020
📍 India
Doctoral research in Machine Learning with focus on rumor control in online social networks using neural networks and bio-inspired algorithms.
Master's Degree in Software Engineering
Vellore Institute of Technology
2007 – 2012
📍 India
Advanced study in software engineering, algorithms, and system design.
Open Source & Engineering
Experimentation, tooling, and data engineering projects demonstrating breadth and curiosity.
More projects on GitHub
Tech Stack
Capabilities organized by system responsibility rather than a flat keyword list.
Latest Writing
Engineering judgement from production search, enterprise AI delivery, and retrieval system design.
Interested in building reliable AI systems?
I'm always happy to discuss Enterprise AI, Search, RAG, MLOps, and Production Machine Learning.
Let's connect.
santhoshramuk@gmail.com • Europe | Remote