Senior ML Engineer | Senior Data Scientist
Professional Summary
I design and deliver reliable AI systems that solve complex business problems at enterprise scale. My expertise lies in building semantic search, retrieval-augmented generation (RAG), and MLOps platforms that improve customer experience while meeting strict requirements for scalability, latency, governance, and operational reliability.
At Eurowings (Lufthansa Group), I have designed and delivered enterprise AI platforms that contributed to an 18% reduction in customer support calls, a 45% improvement in search satisfaction, and significantly accelerated machine learning deployment through standardized MLOps practices.
My background combines 14+ years of software engineering, a Ph.D. in Machine Learning, and extensive hands-on experience building AI systems on Azure and Databricks. I enjoy turning ambiguous business requirements into measurable, production-ready AI solutions.
Current Focus: LLM • RAG • AI Agents • Semantic Search • MLOps & LLMOps • AI Platform Engineering
Selected Enterprise Projects
| Project | Business Impact |
|---|---|
| Enterprise Semantic Search Platform | 110% satisfaction improvement (42% → 90%), achieved 91% recall@10, 99.3% latency reduction (6s → 40ms P99), €420K annual savings (18% fewer support calls) |
| Enterprise RAG Customer Support Assistant | Improved customer self-service through trustworthy, citation-backed AI responses |
| Enterprise MLOps Platform | Reduced ML deployment cycles from weeks to hours through standardized CI/CD and governance |
| Forecasting & Personalization Platform | Improved business planning through automated forecasting and recommendation pipelines |
Professional Experience
Senior ML Engineer | Senior Data Scientist
Eurowings Digital GmbH (Lufthansa Group)
July 2022 – Present | Europe (Remote)
- Led end-to-end machine learning initiatives across aviation and e-commerce domains.
- Designed scalable ML pipelines from data ingestion to production deployment.
- Developed AI and LLM-powered solutions for forecasting, personalization, recommendation engines, and intelligent search systems.
- Architected time-series forecasting, regression, and XGBoost models for business planning and optimization.
- Built Retrieval-Augmented Generation (RAG) solutions for context-aware search experiences.
- Developed AI agents and virtual assistants for customer support and enterprise knowledge management.
- Implemented MLOps and LLMOps pipelines using Azure Databricks and cloud-native technologies.
- Defined AI strategy and served as technical lead for customer-facing AI initiatives.
- Represented the organization in aviation-focused hackathons and conferences.
- Optimized production AI systems through monitoring, observability, and performance tuning.
Impact & Achievements
- Improved key business KPIs (CSAT, AOV) by 15–30% through machine learning solutions
- Increased forecast accuracy by over 20%
- Improved conversion rates by 10–25% through personalization and recommendation systems
- Reduced manual operational effort by up to 60% through ML(LLM)Ops automation
- Reduced inference latency by 25% through model optimization and infrastructure scaling
- Improved user engagement, personalization, and revenue through multi-agent AI architectures
Technologies
Frameworks: PySpark • PyTorch • Scikit-learn • NLTK • SpaCy • Theano • MLflow • Git • Docker • Kubernetes
Cloud & DevOps: Azure Databricks • Microsoft Azure • Azure AI Search • Azure Container Apps • AWS EC2 • AWS SageMaker • CI/CD Pipelines • MLOps • LLMOps
Senior Consultant (SC2)
Hitachi Vantara (Hitachi Data Systems)
July 2020 – June 2022 | Pune, India
- Contributed to enterprise data analytics initiatives, delivering analytics solutions for global customers.
- Led cross-functional teams across analytics and machine learning models, ensuring successful project delivery within scope and timelines.
- Successfully delivered enterprise analytics solutions for global customers with strong emphasis on quality and stakeholder collaboration.
Technologies
Java • AWS • AWS EC2 • Scikit-learn • ML Models • Adobe Experience Manager (AEM)
Team Lead
Relevance Lab
April 2016 – July 2020 | Bangalore, India
- Led a team of 10+ professionals across project planning, execution, and delivery.
- Coordinated stakeholder communication and mentored team members to ensure consistent delivery quality.
- Ensured quality standards and delivery timelines were consistently met across multiple concurrent projects.
Technologies
Java • Kafka • Docker • AWS • AWS S3 • AWS EC2
Associate Technology L2
Sapient
September 2014 – April 2016 | Bangalore, India
- Developed web applications using Adobe Experience Manager (AEM), delivering enterprise digital experience platforms.
- Built backend services with Java and front-end solutions with JavaScript, HTML, and CSS.
- Contributed to enterprise digital experience platform delivery for global clients.
Technologies
Java • AWS • Adobe Experience Manager (AEM) • JavaScript • HTML • CSS
Programmer Analyst
Cognizant
December 2012 – August 2014 | Chennai, India
- Developed enterprise Java applications and web services for global enterprise clients.
- Built scalable backend systems and contributed to full-stack development projects.
- Gained foundational experience in enterprise software development, establishing the technical foundation for later engineering leadership roles.
Technologies
Java • AWS • Adobe Experience Manager (AEM) • Web Services
Education
Ph.D. in Information Technology
Vellore Institute of Technology (VIT), India
2014 – 2020
Research Focus
Machine Learning research on rumor control in online social networks using neural networks and bio-inspired algorithms. Published multiple papers in Scopus-indexed journals.
Master's Degree in Software Engineering
Vellore Institute of Technology (VIT), India
2007 – 2012
Advanced study in software engineering, algorithms, and system design.
Professional Certifications
Academy Accreditation - Generative AI Fundamentals
Databricks
Issued May 2026 • Credential ID: 182259131
Working Effectively with Stakeholders
Issued Mar 2026 • Credential ID: RUCTG2BDI44Q
Deep Learning Specialization
Coursera
Mathematics for Machine Learning Specialization
Coursera
Oracle Certified Java Developer
Oracle
Adobe Certified AEM Development Expert
Adobe
Research & Publications
A Parallel Neural Network Approach for Faster Rumor Identification in Online Social Networks
International Journal on Semantic Web and Information Systems (2019)
A Bio-inspired Defensive Rumor Confinement Strategy in Online Social Networks
Journal of Organizational and End User Computing (2020)
Additional publications in Springer proceedings and international journals covering deep learning, rumor detection, and intelligent systems.
Core Technical Skills
Enterprise AI Systems
Semantic Search • Retrieval-Augmented Generation (RAG) • Hybrid Retrieval (BM25 + Vector Search) • Vector Databases • LLM Applications • Prompt Engineering • Agentic AI • AI Evaluation • Search Relevance
Machine Learning & MLOps
Python • PyTorch • Scikit-learn • XGBoost • Prophet • MLflow • Unity Catalog • Feature Store • Model Monitoring • Experiment Tracking • CI/CD for Machine Learning
Cloud & Platform Engineering
Azure • Azure Databricks • Azure OpenAI • Azure AI Search • Kubernetes • Docker • FastAPI • REST APIs • Microservices
Data Engineering
Feature Engineering • Data Pipelines • ETL • Data Validation • Model Deployment • Batch & Real-time Inference
Professional Interests
Production AI Reliability • Retrieval Evaluation • Enterprise Search • Cost-efficient LLM Systems • AI Platform Engineering • Technical Mentoring • Applied AI Architecture