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.
We have wide Experience as a CTO, solution architect in Gen AI, principal software engineer and data scientist, AI researcher, AI/ML Engineer, Multi-cloud Architect with equivalent advanced experience in artificial intelligence, machine learning, reviewing or authoring ML research papers, familiarity with academic literature review practices and tools, labeling, for rate limiting and scaling accessing Sora, Codex, LabelBox, Scale AI, AG-UI protocol, Vertex Data, Vertex AI, MLOps, RAG, DLP, NLP, neural, ML, labeling, Rust, annotation, LabelBox, Scale AI, Replit, Prompt Layer, Gradio, SageMaker, Bedrock, LLM, LLM Ops, SaaS API, MCP server, and Oracle Cloud, data migration projects, with hands-on involvement in migrating and integrating critical domains such as Item Master.
Sailpoint, Langsmith, Pine Code, WordPress, OpenAI, LangChain, Lang Graph, multi-cloud architecture, principal software engineering, Microsoft Agent Framework, Rust, Golang, AngularJS, Pedantic, Copilot Kit, Google ADK, Langchain, AWS, Azure AI Foundry, .Net, designing, developing, and deploying end-to-end data engineering, BI, Route 53, and cloud ELT/ETL solutions.
Expertise in Azure Synapse Analytics, Azure Data Factory (ADF), and SQL Server for building scalable and performance-optimized data pipelines. Android, iPhone, customized application & web application development expertise & accepting challenges, team lead, Python, Celery, TDD, swagger, Pylance, Django, Flask, Jupyter, Pytorch, TensorFlow, FastAPI, RESTful API, REST API, GraphQL, MCP, Flutter, Next.js, AngularJS, React JS, React Native, Rust, R, Ruby on Rails, Java, Docker, Kubernetes, Docker, hosting & creative design with Flask as per UX/UI, debugging & testing with PyTest, JTest, Cypress, unit testing, deep learning, machine learning, and SQL, NoSQL Database, MongoDB, PostgreSQL, Redis, and Vector Search for the new Gen AI Roadmap.
Shell scripting, Bash coding, Ansible, Terraform, YAML, e-commerce, architecture, Google Cloud Platform, AWS, Azure, Agile, Big Data, data analysis, Apache Kafka, Spark, Grafana, Prometheus, Nginx, VM creation, microservices, GitHub, Trivy, Argo CD, Bootstrap, Tailwind CSS, PHP, HTML, CSS, Web3, Unity, Blender, Unreal Engine, Shopify, HTML5, Node.js, Nestjs, Angular.js, Vue.js, JavaScript, and 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.