Yadu Yadu Singh

About Yadu Yadu Singh

AI & Generative AI Architect with proven expertise in architecting, deploying, and scaling enterprise-grade AI platforms across cloud environments. Specialize in end-to-end AI/ML and GenAI solution design, with deep hands-on experience in MLOps, CI/CD automation, and production ML systems. A Domino Certified professional, I have led large-scale deployments on the Domino Data Lab Analytics Platform, delivering fully managed MLOps capabilities including model deployment, MLflow-based model registry, lifecycle governance, and enterprise monitoring.Demonstrated expertise in production monitoring and observability, leveraging Athena, Grafana, Prometheus, and centralized logging to track latency, throughput, and performance percentiles (P50, P75, P90, P95), ensuring high availability and reliability of mission-critical AI services. Successfully operationalized models across AWS, Azure, and GCP, enabling secure, scalable, and cost-efficient AI deployments.Technically strong across LLMs, NLP, RAG architectures, Agentic AI, predictive modeling, and deep learning, translating complex business requirements into robust, high-performance AI solutions. As an MLOps Subject Matter Expert, I drive automation, model versioning, governance, monitoring, and incident management, ensuring seamless transition from research to production at scale.A collaborative technology leader, I work closely with data scientists, ML engineers, DevOps teams, and business stakeholders to deliver measurable business outcomes. Passionate about emerging AI technologies, best practices, and mentoring high-performing teams, I thrive at the intersection of AI innovation, cloud engineering, and operational excellence, enabling organizations to adopt responsible, scalable, and production-ready AI.

Experience

1. Sr Solution Architect-group Technical Manager

   HCLTech

   Jun 2025 — Present · Bangalore, IN

   AI & Generative AI Architect with proven expertise in architecting, deploying, and scaling enterprise-grade AI platforms across cloud environments. Specialize in end-to-end AI/ML and GenAI solution design, with deep hands-on experience in MLOps, CI/CD automation, and production ML systems. A Domino Certified professional, I have led large-scale deployments on the Domino Data Lab Analytics Platform, delivering fully managed MLOps capabilities including model deployment, MLflow-based model registry, lifecycle governance, and enterprise monitoring.Demonstrated expertise in production monitoring and observability, leveraging Athena, Grafana, Prometheus, and centralized logging to track latency, throughput, and performance percentiles (P50, P75, P90, P95), ensuring high availability and reliability of mission-critical AI services. Successfully operationalized models across AWS, Azure, and GCP, enabling secure, scalable, and cost-efficient AI deployments.Technically strong across LLMs, NLP, RAG architectures, Agentic AI, predictive modeling, and deep learning, translating complex business requirements into robust, high-performance AI solutions. As an MLOps Subject Matter Expert, I drive automation, model versioning, governance, monitoring, and incident management, ensuring seamless transition from research to production at scale.A collaborative technology leader, I work closely with data scientists, ML engineers, DevOps teams, and business stakeholders to deliver measurable business outcomes. Passionate about emerging AI technologies, best practices, and mentoring high-performing teams, I thrive at the intersection of AI innovation, cloud engineering, and operational excellence, enabling organizations to adopt responsible, scalable, and production-ready AI. tools: Jenkins-CI/CD, GitHub-CI/CD, Domino Data Analytics Lab Platform, MLflow, Domino Model Registry, MCP,AWS-Sagemaker,deployment using wrapper.

Education

• National Institute of Technology Warangal

  Advanced Certificate Course in AIML, Artificial Intelligence & Machine Learning

• Liverpool John Moores University

  Master of Science - MS in AIML, Artificial Intelligence & Machine Learning

• Bangalore University

  B.E., Computer Science & Engineering

• Liverpool John Moores University

  MS, Artificial Intelligence

• Liverpool John Moores University

  M.S., AIML-Machine Learning & Artificial Intelligence

• Osmania University

  Semester Course on Speech and Language Technology using AI and Deep Learning, AIML

• Liverpool John Moores University

  M.S. Masters in Machine Learning & Artificial Intelligence , Machine Learning & Artificial Intelligence

• International Institute of Information Technology Bangalore

  PGD, MLAI

• Liverpool John Moores University

  Master of Science - MS, machine Learning & Artificial Intelligence