AI/ML Engineer and MLOps Lead with 8+ years of experience delivering production-grade ML and Generative AI systems across GCP, Azure, and AWS. Expert in MLOps pipelines (Kubeflow, Vertex AI, SageMaker, Azure ML), CI/CD automation, and scalable deployments on Kubernetes and Terraform. Collaborated with Google’s Agent Development Kit (ADK) within the Gemini team, building multi-agent systems for cybersecurity, healthcare, and energy domains. Skilled in LLM fine-tuning, Hugging Face models, RAG pipelines, and vector databases for domain-specific GenAI solutions. Integrated LangChain, OpenAI tools, Tavus Virtual Avatars, and observability platforms (Phoenix, W&B, AgentOps) into enterprise AI workflows. Proven team lead and individual contributor, delivering measurable outcomes across banking, telecom, manufacturing, and renewable energy.
LLMs
Agentic framework(LangGraph, Adk)
Generative AI
MLOps
Vertex AI
Amazon Bedrock
OpenAI
Sagemaker
Github Action CI/CD
Kubeflow
Data Science
TensorFlow Extended
Kubernetes
Istio
Computer Vision
OpenCV
NLP
Deep Learning
Machine Learning
Signal Processing
Voice Analysis
APISIX
FastAPI
AWS
Azure
GCP
Docker
Prometheus
Grafana
ELK Stack
RBAC
Network Policies
ConfigMaps
Secrets
MTLS
Cloud Functions
Cloud Storage
Cloud Pub/Sub
Terraform
Demand Forecasting
Python
GCP Composer
Airflow
BigQuery
SQL
Flask
ML Flow
Azure DevOps
ETL
Azure Data Factory
Azure Databricks
Snowflake
Forecasting
AWS Forecasting
Time Series Analysis
Google Cloud Professional Machine Learning Engineer (Issued Feb 2025)
Google Cloud Professional Cloud Architect (Issued June 2024)
Google Cloud Professional Data Engineer (Certified – Year to update)