I design and lead end-to-end engineering for cloud, BI, ELT/ETL, GenAI, and visualization—turning complex systems into scalable, reusable consulting assets.
Focused on modularity, reproducibility, and mentoring—building robust frameworks, playbooks, and UX-forward visualization pipelines.
I have experience as a principal software engineer and data scientist with Aligner, Labeling, LabelBox, Scale AI, GenAI, AG-UI protocol, Vertex Data, Vertex AI, MLOps, RAG, DLP, NLP, neural, ML, labeling, annotation, SageMaker, Bedrock, LLM, LLM Ops, SaaS API, MCP server, and Oracle Cloud. I lead data migration projects for Item Master, Accounts Receivable (AR), and On-Hand Inventory, integrating critical domains with reliability and performance.
I work across SailPoint, LangSmith, Pinecone, WordPress, OpenAI, LangChain, LangGraph, multi-cloud architecture, Microsoft Agent Framework, Rust, Golang, AngularJS, Pydantic, CopilotKit, Google ADK, AWS, Azure AI Foundry, and .NET—designing, developing, and deploying end-to-end data engineering, BI, and cloud ELT/ETL solutions.
Strong expertise in Azure Synapse Analytics, Azure Data Factory (ADF), and SQL Server for scalable and performance-optimized pipelines. Mobile and web application development, team leadership, and testing with PyTest, JTest, Cypress and unit testing. Deep learning, machine learning, Python, Django, Flask, FastAPI, RESTful APIs, GraphQL, Flutter, React, React Native, Ruby on Rails, Rust, Java, Docker, Kubernetes, hosting and creative design aligned to UX/UI standards.
Databases include SQL, NoSQL, MongoDB, PostgreSQL, Redis, and vector search for GenAI roadmaps. Shell scripting, Bash, Ansible, Terraform, YAML. E‑commerce architecture on GCP, AWS, Azure, Agile, big data, analytics, Kafka, Spark, Grafana, Prometheus, Nginx, VM creation, microservices, GitHub, Trivy, Argo CD, Bootstrap, Tailwind CSS, PHP, HTML/CSS, Web3, Unity, Shopify, HTML5, Node.js, Angular.js, Vue.js, JavaScript, TypeScript, Microsoft Office, and MS Project.
Designed a reusable GenAI roadmap integrating LLM Ops, RAG pipelines, and vector search (Pinecone/Redis), enabling rapid domain onboarding.
Led migration and integration for Item Master, AR, and On-Hand Inventory with strong validations, lineage, and performance benchmarks.
Architected REST/GraphQL APIs and MCP server scaffolding with standardized contracts, tests, and CI/CD for multi-tenant SaaS.
Built gridless, smooth visualization interfaces leveraging anti-aliasing, LOD, and mesh refinement, aligned to design vision.
Delivered end-to-end ML lifecycle: data prep, training, evaluation, deployment, monitoring, and guardrails with DLP.
Published Terraform modules, Helm charts, and runbooks for rapid data pipeline provisioning across AWS/Azure/GCP.