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I am a senior AI/ML architect with a track record of designing and delivering production-grade AI platforms across GCP, Azure, and AWS. I specialize in Agentic AI systems, LLMOps, multi-agent orchestration, and scalable Kubernetes-based deployments for enterprise needs. I enjoy turning complex AI concepts into reliable, secure, and observable solutions that empower teams to operate at scale. I thrive on building memory-rich RAG pipelines, distributed model serving, governance, and observability into end-to-end ML platforms. My work spans cross-cloud automation (Terraform), CI/CD, and governance, collaborating with multi-disciplinary teams to ship robust AI/ML capabilities and measurable business outcomes.…I am a senior AI/ML architect with a track record of designing and delivering production-grade AI platforms across GCP, Azure, and AWS. I specialize in Agentic AI systems, LLMOps, multi-agent orchestration, and scalable Kubernetes-based deployments for enterprise needs. I enjoy turning complex AI concepts into reliable, secure, and observable solutions that empower teams to operate at scale. I thrive on building memory-rich RAG pipelines, distributed model serving, governance, and observability into end-to-end ML platforms. My work spans cross-cloud automation (Terraform), CI/CD, and governance, collaborating with multi-disciplinary teams to ship robust AI/ML capabilities and measurable business outcomes.

Amit Yada

AI Engineer, Data Scientist, Cloud Developer, +3

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I am a senior AI/ML architect with a track record of designing and delivering production-grade AI platforms across GCP, Azure, and AWS. I specialize in Agentic AI systems, LLMOps, multi-agent orchestration, and scalable Kubernetes-based deployments for enterprise needs. I enjoy turning complex AI concepts into reliable, secure, and observable solutions that empower teams to operate at scale. I thrive on building memory-rich RAG pipelines, distributed model serving, governance, and observability into end-to-end ML platforms. My work spans cross-cloud automation (Terraform), CI/CD, and governance, collaborating with multi-disciplinary teams to ship robust AI/ML capabilities and measurable business outcomes.…I am a senior AI/ML architect with a track record of designing and delivering production-grade AI platforms across GCP, Azure, and AWS. I specialize in Agentic AI systems, LLMOps, multi-agent orchestration, and scalable Kubernetes-based deployments for enterprise needs. I enjoy turning complex AI concepts into reliable, secure, and observable solutions that empower teams to operate at scale. I thrive on building memory-rich RAG pipelines, distributed model serving, governance, and observability into end-to-end ML platforms. My work spans cross-cloud automation (Terraform), CI/CD, and governance, collaborating with multi-disciplinary teams to ship robust AI/ML capabilities and measurable business outcomes.

Available to hire

I am a senior AI/ML architect with a track record of designing and delivering production-grade AI platforms across GCP, Azure, and AWS. I specialize in Agentic AI systems, LLMOps, multi-agent orchestration, and scalable Kubernetes-based deployments for enterprise needs. I enjoy turning complex AI concepts into reliable, secure, and observable solutions that empower teams to operate at scale.

I thrive on building memory-rich RAG pipelines, distributed model serving, governance, and observability into end-to-end ML platforms. My work spans cross-cloud automation (Terraform), CI/CD, and governance, collaborating with multi-disciplinary teams to ship robust AI/ML capabilities and measurable business outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Hindi

Fluent

German

Beginner

Work Experience

Senior MLOps Engineer at Publicis Sapient Group

August 1, 2023 - August 1, 2024

Led development of end-to-end ML/AI systems across multi-cloud environments (GCP, AWS, Azure). Built multi-agent systems for cybersecurity, healthcare and energy; implemented CI/CD with GitHub Actions; deployed Kubernetes clusters (GKE/EKS/AKS); containerized ML components with Docker; integrated Vertex AI, SageMaker, and OpenAI tooling; established observability with Arize Phoenix, Weights & Biases, Prometheus, Grafana; implemented data governance and security policies; collaborated across cross-functional teams to deliver scalable production ML services.

ML Engineer II at General Mills

November 1, 2022 - August 1, 2023

Provisioned and managed GKE clusters, deployed Kubeflow-based ML pipelines across multi-cloud environments, and built end-to-end ML workflows for production-grade training and inference. Containerized components, set up CI/CD with GitHub Actions, and implemented monitoring with Prometheus and Grafana; managed Kubernetes clusters on GKE and integrated cloud-native services for scalable deployment.

Senior Data Scientist at Suzlon Group

March 1, 2021 - August 30, 2023

Led a team of data scientists and ML engineers to design predictive maintenance solutions for wind turbines; automated ML pipelines with Azure ML; built computer vision models (YOLOv5) for bearing and blade fault detection; developed time-series forecasting for turbine temperature; deployed and monitored models using MLflow; integrated data from IoT sensors with cloud platforms.

Machine Learning Engineer at Thyssenkrupp Inc.

January 1, 2020 - February 1, 2021

Architected and deployed end-to-end AI/ML solutions on Azure ML; built automated ML pipelines; implemented edge deployment with Azure IoT Edge; created monitoring using MLflow; developed real-time fault detection for industrial assets using computer vision and sensor data.

AI Software Designer – GenAI (Google Collaboration) at Globant

October 1, 2024 - Present

Focused on Agentic AI Systems and GCP MLOps engineering; collaborated with Google's Core Generative AI team on ADK deployment frameworks; designed and deployed multi-agent systems for cybersecurity clients using ADK and A2A protocol and MCP; integrated LLM observability tools (Weights & Biases, MLflow, AgentOps) for production-grade evaluation; deployed agent systems on Vertex AI Agent Engine and Cloud Run; architected RAG pipelines using Vertex AI RAG Engine, GCS, memory bank; built scalable LLMOps pipelines within GCP using GKE and GitHub Actions; provisioned GKE infrastructure and implemented IAM, IAP, and service account security models; delivered multimodal agentic systems integrating Tavus and HeyGen with ADK Live API; designed end-to-end MLOps platform with Kubeflow Pipelines, load balancers, CI/CD automation, model monitoring and drift detection, and staging-to-production deployment pipelines.

Senior MLOps Engineer at Publicis Sapient

August 1, 2023 - August 31, 2024

Led cross-cloud MLOps platform development across GCP, Azure, and AWS; deployed custom Kubeflow dashboard with all components, integrated MLflow, and ArgoCD; orchestrated Kubeflow pipelines for scalable training and deployment; built GitHub Actions CI/CD workflows for ML lifecycle automation; provisioned infrastructure using Terraform across multi-cloud and deployed Kubernetes clusters (GKE, EKS, AKS); implemented secure API gateways (APISIX) and Istio; integrated enterprise monitoring stack (Prometheus, Grafana, ELK); containerized ML workloads (GCR, ACR, ECR).

Machine Learning Engineer II at General Mills

November 1, 2022 - August 31, 2023

Designed end-to-end ML pipelines on Vertex AI Pipelines (Kubeflow Pipelines v1) for classification and regression use cases; built custom containerized training jobs on Vertex AI Training with experiment tracking; implemented a shared preprocessing layer for consistent feature transformations; established champion-vs-challenger model governance with configurable promotion thresholds and Vertex AI Model Registry; developed a FastAPI serving container deployed to Vertex AI Endpoints with auto-scaling; configured Vertex AI Batch Prediction with BigQuery; set up Vertex AI Model Monitoring v2 for training-serving skew and drift, with per-feature thresholds and alerting; implemented two-stage CI/CD using GitHub Actions and Cloud Build, including keyless GCP authentication via Workload Identity Federation.

Data Scientist and Architect at Suzlon Group

March 1, 2021 - January 31, 2022

Led predictive maintenance initiatives for wind turbines; designed and automated time-series and AI pipelines using 1D CNN for anomaly detection and bearing failure forecasting from SCADA data; applied YOLO models for blade defect detection using drone imagery; tracked experiments with MLflow; built Suzlatics, a predictive analytics application; utilized Azure Databricks and Snowflake for scalable data processing and analytics; collaborated across teams to deliver robust ML solutions.

Data Analyst at Convergys India Pvt. Ltd

May 1, 2017 - July 31, 2019

Collected, interpreted, and analyzed large-scale telecom datasets; performed predictive analytics (regression and classification) to forecast customer trends and improve retention strategies; designed and implemented ML workflows; developed a conversational chatbot for customer support; applied statistical methods and custom Python functions; built dashboards with Power BI and Tableau; retrieved and processed data with MySQL queries on AWS Redshift, integrating cloud data warehousing into analytical workflows.