PhD in Machine Learning
Vellore Institute of Technology · 2020
Completed doctoral research on rumor detection and control with deep learning.
Dr. Santhoshkumar
Senior ML Engineer | Senior Data Scientist
I build reliable enterprise search, RAG, and MLOps systems—from retrieval evaluation and architecture through monitored delivery.
At Eurowings Digital (Lufthansa Group), I work on AI platforms that improve self-service and make ML delivery more repeatable.
Highlights
- 4 production AI systems across semantic search, RAG, MLOps, and forecasting
- 13+ years across software engineering, data analytics, and machine learning
- Ph.D. in Information Technology with machine-learning research focus
Agentic AILLM SystemsML SystemsSemantic SearchProduction MLOpsDatabricksAzure
Eurowings Digital GmbH • Europe | Remote
Current Role
Senior ML Engineer | Senior Data Scientist
13+
Years
Software engineering, data analytics, and machine learning.
4
Production Systems
Search, RAG, MLOps, and forecasting for enterprise operations.
About
Profile
13+
Years Experience
Ph.D.
Machine Learning
4
Production Systems
Azure
Databricks
I build and operate enterprise AI systems for search, customer support, and ML delivery.
Specialization: Semantic Search • RAG • MLOps • Forecasting • AI Platforms
Engineering Philosophy
I believe successful AI products are built through engineering discipline rather than larger models.
My design principles are:
- 1Retrieval quality before prompt engineering
- 2Measure before optimizing
- 3Reliability over novelty
- 4Simple systems outperform complex systems in production
- 5Evaluation should drive every deployment decision
My goal is to build AI systems that engineers can confidently operate and customers can trust.
Enterprise AI Systems
Production AI systems built for enterprise scale. From search to RAG to MLOps infrastructure.
Leadership & Technical Delivery
10+ years leading technical teams and delivering enterprise AI systems from concept to production
10+ Years Team Leadership
Software, Data Analytics, and ML · 2016-Present
Led delivery teams across software engineering, data analytics, and machine learning. Coordinated across product, engineering, and support to deliver customer-facing platforms.
13+ Years in Industry
From Java/AEM to Production AI
Progressed from enterprise software engineering to ownership of production AI systems.
Career Journey
13+ years building ML systems: from research to enterprise AI platforms at scale
⭐
Current
Ongoing
Eurowings Digital GmbH
📍Europe
Current Role
Senior ML Engineer | Senior Data Scientist
📅July 2022 – Present
Led development of enterprise AI systems including semantic search, RAG chatbots, MLOps platform, and forecasting pipelines. Technical lead for AI initiatives involving cross-functional teams (Product, Engineering, Support). Architected and deployed production systems serving millions of customers.
Semantic SearchRAGMLOpsAzure DatabricksGPT-4Team Leadership
2020
2020 – 2022
Hitachi Vantara (Hitachi Data Systems)
📍Pune, India
Senior Consultant (SC2)
📅July 2020 – Jun 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-learnML ModelsAEMTeam Leadership
2016
2016 – 2020
Relevance Lab
📍Bangalore, India
Team Lead
📅Apr 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.
JavaKafkaDockerAWSAWS S3AWS EC2Team Leadership
2014
2014 – 2016
Sapient
📍Bangalore, India
Associate Technology L2
📅Sept 2014 – Apr 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.
JavaAWSAEMJavaScriptHTMLCSS
2012
2012 – 2014
Cognizant
📍Chennai, India
Programmer Analyst
📅Dec 2012 – Aug 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
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
Currently Exploring
Staying current with emerging AI patterns and infrastructure
🤖Agentic AI
📊AI Evaluation Frameworks
🔌MCP Servers
📚Long-context RAG
🏗️LLM System Design
🎯Retrieval Benchmarks
Impact at Scale
Production systems, measurable outcomes, and engineering ownership across search, LLM applications, and platform delivery.
13+
Years Experience
4
Production AI Systems
1
Open-Source AI Agent
Ph.D.
Machine Learning
Speaking and Credentials
Teaching, invited talks, and certifications that reinforce technical leadership.
International Faculty Development Program (6-days)
Gopalan College of Engineering and Management (GCEM) • 2025-02-03 to 2025-02-08 • Bengaluru, India
Delivered NLP and data science sessions for faculty, with research directions and live demos.
Guest Lecture on Professional Software Development Using Java
School of Information Technology and Engineering • 2020-02-05 • VIT, Vellore
Presented software engineering process, tools, and applied Java practices.
Conference Proceedings talk on Rumor Control
INDIA-2018 • 2018-07-20 • Mauritius
Presented pulse-vaccination based rumor control research.
Tech Stack
Capabilities organized by system responsibility rather than a flat keyword list.
Generative AI & LLMs
GPT-4Azure OpenAILlamaIndexLangChainRAGPrompt EngineeringVector SearchSemantic Search
ML Engineering
PythonPyTorchTensorFlowScikit-learnXGBoostMLflowModel Serving
MLOps & Platform
DatabricksAzure MLDockerKubernetesCI/CDModel MonitoringUnity Catalog
Data & Search
Vector DatabasesAzure AI SearchElasticsearchSQLNoSQLData Pipelines
Cloud & Infrastructure
AzureAWSFastAPIREST APIsMicroservices
Latest Writing
Engineering judgement from production search, enterprise AI delivery, and retrieval system design.
Selected Publications
Optional reading for deeper technical context and academic work.
2019
International Journal on Semantic Web and Information Systems (IJSWIS)
A Parallel Neural Network approach for Faster Rumor Identification in Online Social Networks
CNN architecture for early rumor identification.
View publication2020
Journal of Organizational and End User Computing
A Bio-inspired Defensive Rumor Confinement Strategy in Online Social Networks
Bio-inspired strategy for rumor containment.
View publication2020
International Journal of Web Services Research (IJWSR)
A Neuro-Fuzzy approach to detect Rumors in Online Social Networks
Hybrid neuro-fuzzy model for rumor detection.
View publication2019
SN Applied Sciences (Springer)
Interest Aware Influential Information Disseminators in Social Networks
Influence modeling for targeted information diffusion.
View publication2019
Information Systems Design and Intelligent Applications (Springer)
An Effective Rumor Control Approach for Online Social Networks
Pulse-vaccination inspired rumor control strategy.
View publicationInterested 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