About Me

AI/ML Solutions & MLOps - Design and build end-to-end AI/ML solutions with production-grade MLOps pipelines. Expert in model training, deployment, monitoring, RAG systems, and fine-tuning foundation models.
Cloud Infrastructure & Solution Design - Certified in AWS (SAA) and Kubernetes (CKA). Architect scalable, cloud-native ML platforms and complete solutions combining AI/ML with robust infrastructure.
Data Science & Platform Engineering - Build data products through ETL/ELT pipelines and real-time processing. Architect ML-as-a-Service platforms that transform data into competitive advantage.

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.

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AWS Certified Solutions Architect - Associate

Amazon Web Services

Demonstrated ability to design and deploy scalable, highly available systems on AWS for ML/AI workloads.

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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.

MLOps & Production

Model Deployment

Model Monitoring

Prometheus

Grafana

A/B Testing

Model Versioning

Cloud & Infrastructure

AWS

Kubernetes

Linux

Docker

CI/CD

Cloud Architecture

Infrastructure as Code

Terraform

CloudFormation

Ansible

Platform Engineering

Infrastructure Automation

System Design

AI & Machine Learning

Deep Learning

Fine-tuned Models

NLP/Text Processing

Model Optimization

TensorFlow

PyTorch

LLM & AI Agents

OpenAI/Claude/Gemini APIs

RAG Systems

MCP Servers

Vector Stores

Agent Frameworks

Prompt Engineering

Data Engineering

Apache Spark

ETL/ELT Pipelines

SQL & NoSQL

Data Warehousing

Real-time Processing

Pandas

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 Kubernetes container orchestration and zero-downtime deployments.

AWSKubernetesAzureGCP

Startup Mentoring

Guiding early-stage startups through technical strategy, product development, and scaling challenges. Focus on AI-first approaches and sustainable growth.

StrategyScalingAI-First

Additional Focus Areas

Building scalable backend APIs and microservices using Python frameworks

Implementing AI/ML solutions with fine-tuned models and RAG systems

Developing cloud-native AI/ML applications with zero-downtime deployments

Creating technical content and documentation for AI/ML best practices

Building autonomous AI agents and optimizing GenAI workflows

Focus on AI-first approaches and sustainable growth strategies