

Agentic AI
Google ADK
Langchain
Langgraph
LLamaIndex
Apache Kafka
Redis
Opentelemetry
LLMs
RAG
Model Context Protocol (MCP)
Generative AI & LLMs
Python
Natural language processing
Computer Vision
Transformers
Feature engineering
Data Preprocessing & Understanding
Transfer learning
Supervised learning
Data preprocessing and cleaning, EDA
Python
Google Cloud Platform
BigQuery
Cloud Storage
Cloud Function
Vertex AI
Cloud Scheduler
Cloud Firestore
DocAI
FastAPI
AutoML
Sklearn
SQL
Docker
Machine learning algorithms
Data repositories (Github,Gitlab)
Model development
Teamwork and collaboration
Problem-solving
Problem-solving abilities
Excellent communication
Organizational skills
Adaptability
Written communication
Business understanding
Senior Machine Learning Engineer with 4+ years of experience developing and deploying production grade intelligent AI systems, including Agentic AI applications, LLM-powered workflows, and end-to-end machine learning solutions. Experienced in leveraging Google Cloud Platform (GCP) to build scalable, production-ready ML pipelines and AI products. Adept at transforming business requirements into impactful, data-driven solutions that generate measurable outcomes and long-term value.
Recognized as a “Machine Learning paradigm dynamo” within the organization for exemplary dedication, successful project deliveries, and top-tier performance.
https://google.accredible.com/0f01ce67-a6dc-462e-8351-1a75d53d1df8
- Implementing Generative AI with Vertex AI
- Responsible AI: Applying AI Principles with Google Cloud
- Introduction to Large Language Models
- Generative AI Fundamentals
- Introduction to Responsible AI
- Introduction to Generative AI
Coursera Certification where we learn about the working of CNNs with hands on labs.
https://www.coursera.org/account/accomplishments/verify/MRTKU4E3DXCP