External publications and technical contributions across industry blogs, research platforms, and community publications. These articles represent my ongoing commitment to sharing practical insights on ML engineering, production systems, and emerging technologies.
Recent Publications
2025
Focus: AI Startups, GenAI, and AI trends
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AIthority.com: How AI Startups Can Compete Against Tech Giants in the Age of OpenAI
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Digits Blog: Performance Improvements for Llama 4 Scout and vLLM
2024
Focus: LLM deployment, optimization strategies, and practical GenAI applications
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Digits Blog: Deploying Llama 3.2: A Breeze with vLLM and Kubernetes
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Digits Blog: Deploying LLMs with Ease: Lessons from AI in Production 2024
2023
Focus: Generative AI integration and production ML systems
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Google Cloud Blog: Do the numbers: How AI is helping revolutionize accounting Featured case study on applying ML to financial data processing
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Digits Blog: Assisting Accountants with Similarity-based Machine Learning
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TensorFlow Blog: Extend your TFX pipeline with TFX-Addons Technical deep-dive on community-driven ML pipeline extensions
2022
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TensorFlow Blog: How Startups can benefit from TensorFlow Extended (TFX) Framework for startup ML infrastructure: Standardization, Growth, and Reproducibility
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Google Cloud: Real-time AI with Vertex AI Matching Engine Technical review and implementation guidance for vector similarity search
2021
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Dataversity: How Transformer-Based Machine Learning Can Power Fintech Data Processing
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Digits Blog: How to train custom named-entity models with Transformers
2020
Focus: Production NLP systems and TensorFlow Extended
