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Shaktivel T K

Data Engineer · AI/ML · Cloud

I build data pipelines on Azure and AWS and real-time AI applications. I'm a computer science student at SRM IST, and right now I'm digging into how large language models can run faster and lighter.

Selected projects

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Realtime Multimodal AI Avatar Platform2026

  • Built a production-ready multimodal conversational AI avatar with Tavus Conversational Video Interface (CVI) and LLM-based persona grounding, enabling real-time text, voice and live video interactions.
  • Developed a React + TypeScript frontend with live avatar streaming and a transcript UI.
  • Engineered a secure Node.js backend for conversation orchestration and REST API integration.
  • Implemented personalized knowledge grounding from structured Markdown for context-aware responses.
  • Designed scalable, low-latency real-time session management.
PythonReactTypeScriptNode.jsTavus CVILLM

AI Capstone Project: Deep Learning2026

  • Engineered an end-to-end deep learning pipeline that combines CNN feature extraction with Vision Transformers (ViT) for land-use classification.
  • Designed and trained custom CNN and ViT architectures from scratch, using data augmentation, regularization and dynamic early stopping to reduce overfitting by ~15%.
  • Tuned learning rates, batch sizes and optimizer schedules, speeding up training convergence by ~35%.
  • Reached 97.2% classification accuracy on the EuroSAT dataset, benchmarking convolutional backbones against transformer latencies with confusion matrices.
PythonPyTorchTensorFlow/KerasCNNViTData Augmentation

Scalable Azure Data Engineering Pipeline with Medallion Architecture2026

  • Built an end-to-end Azure pipeline in Azure Databricks and PySpark that automates ingestion, cleansing and transformation through Bronze, Silver and Gold Medallion layers, producing analytics-ready datasets.
  • Used Delta Live Tables (DLT) for orchestration and incremental processing, and Star Schema models with SCD Type 2 for historical tracking.
  • Enforced data governance with Unity Catalog and optimized the Gold layer for Power BI reporting.
AzureAzure DatabricksPySparkPythonDelta LakeDLTADLS Gen2

What I'm studying now

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