I am a Lead-minded Software & Data Engineer specialized in building reliable, scalable ML systems and production-grade pipelines. I bridge the gap between heavy-duty infrastructure and cutting-edge AI research—specifically in Self-Supervised Learning (SSL) and Agentic Workflows.
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⚡ Currently: Optimizing DataOps and MLOps at National Grid to ensure 100% traceability and high system availability.
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🌱 Learning: Multi-agent orchestration with LangGraph and CrewAI for autonomous reasoning.
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🎓 MSc Thesis: Surpassed State-of-the-Art benchmarks on the FOD-A dataset using BYOL (Bootstrap Your Own Latent).
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🚀 Impact: Reduced deployment cycle times by 35% and automated manual effort by 100% for Power BI pipelines at National Grid.
While my Top Languages below update automatically, these are my core architectural specializations:
| Category | Tools & Technologies |
| :--- | :--- |
| Programming | 
| AI & Machine Learning | 
| Data Engineering | 
| DevOps & MLOps | 
| Observability | 
Showcasing data-centric projects and experiment tracking.
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These stats update dynamically based on my latest activity on GitHub.
