About Me
- AI Engineer & ML Platform Architect - specializing in building scalable ML/AI platforms, production-grade model deployment, and end-to-end MLOps pipelines that transform data into intelligent products.
- Cloud-Native ML Infrastructure - certified in AWS and Kubernetes, I architect and deploy robust, scalable AI/ML platforms on cloud infrastructure. From container orchestration to distributed training systems, I build the foundation that powers ML at scale.
- MLOps & Production ML - designing and implementing complete ML lifecycle workflows: model training, versioning, deployment, monitoring, and A/B testing. Expert in building observability systems for ML models in production.
- Advanced ML Workflows - Prompt Engineering, RAG systems, fine-tuning foundation models, model optimization, and distributed inference. Building intelligent agents and MCP servers for scalable AI systems.
- Data Engineering & Analytics - ETL/ELT pipelines, real-time data processing, analytics, and business intelligence. Building data products that fuel ML models (Python, Apache Spark, Pandas, SQL, Tableau).
- Platform ML & SaaS Architecture - architecting ML-as-a-Service platforms, building intelligent SaaS products, and designing foundation models that serve as the backbone for enterprise AI solutions.
- Full-Stack ML Expertise - from research and prototyping to production deployment, I bridge the gap between data science and engineering, ensuring ML models deliver real business value.
Certifications
Industry-recognized certifications validating expertise in cloud infrastructure, container orchestration, and scalable system design-essential for deploying production-grade ML/AI platforms.
Certified Kubernetes Administrator
Cloud Native Computing Foundation
Validated expertise in Kubernetes cluster management, container orchestration, and cloud-native infrastructure.
AWS Certified Solutions Architect - Associate
Amazon Web Services
Demonstrated ability to design and deploy scalable, highly available systems on AWS for ML/AI workloads.
Master the CKA Exam with Hands-On Practice
I've created comprehensive Killercoda labs focused on clearing CKA concepts and exam preparation.Head over to the lab prep by me to help aspirants ace the exam and master K8s concepts. Practice with real Kubernetes scenarios, understand cluster architecture, workloads, networking, storage, and troubleshooting - all the domains you need to ace the CKA exam.
Education
Master of Science (MSc) in Data Science and AI
University of Liverpool, UK
- Graduated with Distinction
- Focus areas: Data Science, Machine Learning, Natural Language Processing, Applied AI
- Advanced Statistics, Data Mining, Predictive Analytics, Business Intelligence
- Reinforcement learning, Bio-Inspired Algorithms, Advanced Mathematics for AI
- Databases, Python, R, SQL, Data Visualization
Bachelor of Technology (B.Tech)
SRM Institute of Science and Technology, Chennai
- First Class with Honours
- Major: Electronics Engineering
Technical Expertise
Comprehensive data science and AI expertise focused on extracting insights, building predictive models, and delivering scalable solutions.
AI & Machine Learning
Data Engineering
Cloud & Infrastructure
LLM & AI Agents
MLOps & Production
Data Science & Analytics
Current Focus
Transforming businesses through intelligent technology adoption and strategic mentorship.
Cloud Migration
Expert in migrating legacy on-premise systems to hybrid and cloud architectures. Specializing in AWS, Azure, and Google Cloud Platform with zero-downtime deployments.
Startup Mentoring
Guiding early-stage startups through technical strategy, product development, and scaling challenges. Focus on AI-first approaches and sustainable growth.