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rahulbakshee/README.md

Hello World 👋👋👋

🦾 Google Cloud Certified Professional Machine Learning Engineer with 13+ years of experience building production ML, DL and GenAI systems that drive revenue, reduce cost, and improve user engagement at scale.

🔥 Led AI platforms that delivered over $16M in annual revenue impact, 70%+ lifts in customer engagement, $5M+ in yearly cost savings, and protected multimillion‑dollar revenue through patient adherence, churn reduction, and fraud prevention initiatives.

🚀 Specializes in hybrid retrieval pipelines, ranking, re‑ranking, and end‑to‑end RAG pipelines and Agentic AI systems, recommendation systems, combining TensorFlow, PyTorch, and traditional ML with strong MLOps across GCP Vertex AI, AWS SageMaker, and Azure ML to support 50M+ daily events with sub‑second latency.

🛠 Operates at staff level by owning ML roadmaps, defining metrics & experimentation frameworks, and setting engineering standards for production models, while mentoring teams and partnering with VP/SVP‑level leaders to turn ambiguous business problems into scalable, reliable AI platforms.

✌️ Strong believer in Collaboration, Responsible AI, Diversity and Inclusion.

📫 Say Hello at : blog , linkedin , twitter , github

🥇 Certifications I recently did are: Google Cloud Professional Machine Learning Engineer

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  1. Self-Healing-Infrastructure-Monitor Self-Healing-Infrastructure-Monitor Public

    An intelligent system that monitors cloud infrastructure, detects anomalies, diagnoses issues using AI agents, and automatically remediates problems with human oversight.

    Python

  2. cv cv Public

    Computer Vision, Deep Learning, Generative Adversarial Networks, MOOCS, GANs, OpenCV, Tensorflow, keras and pytorch

    Jupyter Notebook 5 1

  3. cp cp Public

    Competitive Programming, System Design, Kaggle, LeetCode, AnalyticsVidhya, HackerRank, Project Euler, Interview Query

    Jupyter Notebook 1

  4. Agentic-AI-Experiments Agentic-AI-Experiments Public

    My experiments with Google's Agent Development Kit (ADK)

    Python