AI/ML Systems Engineer

Crafting intelligent systems that push the boundaries of what's possible with AI

EM

Elango Murugan

Project Associate @ IIT Madras

About Me

I'm an AI/ML systems engineer at IIT Madras in the Dept of Data Science & AI, working under Prof. Arun K. Tangirala. My work focuses on building end-to-end ML pipelines and deploying models via FastAPI, including a Capgemini-sponsored initiative with the Madras Dyslexia Association. Previously, I was a PDI Analyst at Deloitte, developing automation solutions using Azure Function Apps, Logic Apps, and Data Factory. I'm passionate about building production-ready AI systems that create real-world impact.

IIT MadrasMachine LearningFastAPIAzureProduction AI

Certifications & Courses

Continuous learning and professional development across multiple domains

☁️

AWS Certified Solutions Architect

Amazon Web Services

Verified
Issued: 2024ID: AWS-SAA-C03
Cloud ArchitectureEC2S3LambdaCloudFormation
🔷

Microsoft Azure Developer Associate

Microsoft

Verified
Issued: 2024ID: AZ-204
Azure FunctionsCosmos DBApp ServiceDevOps
🌐

Google Professional Cloud Developer

Google Cloud

Verified
Issued: 2023ID: GCP-PCD
GKECloud RunBigQueryCloud Functions
🧠

TensorFlow Developer Certificate

Google

Verified
Issued: 2023ID: TF-DEV
Deep LearningNeural NetworksComputer VisionNLP

Skills & Technologies

Building production-ready AI systems with modern tools and frameworks

AI & Machine Learning

Machine LearningDeep LearningNLPComputer VisionFeature EngineeringModel Evaluation

ML Engineering

End-to-End PipelinesData PreprocessingModel Inference APIsFastAPI DeploymentPerformance Tuning

Frameworks & Libraries

PythonTensorFlow / KerasPyTorchScikit-learnPandas & NumPyOpenCV

Generative AI

LLM APIsPrompt EngineeringEmbeddingsSemantic SearchRAG Systems

Data & Analytics

SQLData CleaningDataset PreparationData VisualizationJupyter Notebook

Cloud & DevOps

Azure FunctionsAzure Data FactoryDockerGit & GitHubAPI Integration

Artificial Intelligence Capabilities

Specialized in cutting-edge AI technologies, from large language models to computer vision

Large Language Models

Building applications with GPT-4, Claude, and open-source LLMs for text generation, analysis, and automation.

GPT-4ClaudeLLaMAFine-tuningPrompt Engineering

Computer Vision

Developing image recognition, object detection, and visual AI systems for real-world applications.

OpenCVYOLOImage ClassificationOCRSegmentation

Neural Networks

Designing and training deep learning models for complex pattern recognition and prediction tasks.

TensorFlowPyTorchKerasCNNsTransformers

AI Agents & Automation

Creating autonomous AI agents that can reason, plan, and execute complex multi-step tasks.

LangChainAutoGPTCrewAIRAGTool Use

Generative AI

Building creative AI applications for content generation, code synthesis, and artistic creation.

Stable DiffusionDALL-ECode GenerationAudio AI

ML Ops & Deployment

Implementing end-to-end ML pipelines for training, deployment, and monitoring of AI systems.

MLflowKubeflowModel ServingA/B TestingMonitoring

Ready to Build Something Amazing?

I'm always open to working on exciting machine learning and AI projects, turning ideas into intelligent, real-world systems.