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Pipeline External Corrosion: ML. Built pipeline external corrosion depth & length prediction models of >90% accuracy.
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Pipeline Freespan Formulation: ML. Built subsea pipeline height & length prediction models of >70% accuracy.
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HIP: Computer Vision. Working person and safety compliance detection with vLLM.
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Worked with CI/CD integration and cloud deployment in production on Azure for all projects.
- Tech Stack: Python, MLFlow, Docker, SQL, Azure, SonarCloud, DevOps, Git
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Console Application: Full Stack. Interface implementation and API gateway token authorisation.
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Model Hub: Cloud. RESTful endpoint protection for user/admin API key authentication.
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Deployment: Compiler Engineering. Introduced the RocM backend for AMD hardware support.
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Ivy ML Models: Applied Lead. Expanded the collection from scratch to 15+ within 4 months.
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Ivy Transpiler: MLE. Introduced features of native compilation and cross-framework NumPy code compilation.
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Ivy Framework: Software Engineering. Introduced exception handling, global properties, sparse arrays, and frontend APIs.
- Tech Stack: Python, C++, Nvidia CUDA, AMD RocM, Tailwind CSS, Node.js, React.js, Next.js, TypeScript, Fast API, Flask, Prisma, Alembic, SQL, Docker, GCP, AWS, Git, Transformers, Linux
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QnA Chatbot for Clinical Tabular Data: ML systems engineering. Full stack development.
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Developed TAPAS RESTful endpoints with database and interface for lab report analysis.
- Tech Stack: Python, TAPAS, Rasa NLU/NLP, Django, React.js, HTML, CSS, Git, Transformers
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Frontend development. Implemented the technology website and generalised a template.
- Tech Stack: React.js, HTML, Tailwind CSS, JavaScript, Django, Git