Engineering the long distance. Core Methodology: KODE
Deep domain research across data engineering, cloud architecture, AI systems, and financial intelligence. Every build starts with understanding the problem space completely.
High-performance logic with minimal overhead. From token-efficient LLM pipelines to sub-second financial modelling engines where speed and precision are non-negotiable.
Scalable, auditable data architecture. Medallion frameworks, Data Vault 2.0 models, and cloud-native pipelines built to handle enterprise-grade complexity.
Robust execution from design to deployment. CI/CD pipelines, multi-environment provisioning, and production-grade delivery — engineered to last.
I'm a Senior Data Engineer and Cloud Architect with 15+ years of experience building enterprise-grade data platforms for Fortune 500 clients across retail, healthcare, oil & gas, finance, and supply chain.
I specialise in Microsoft Fabric Medallion architectures, Data Vault 2.0 modelling, cloud-native ETL pipelines, and AI-augmented data workflows — delivering scalable, auditable platforms at enterprise scale.
Under the AEVOLAN banner, I independently design and ship technology products at the intersection of AI, FinTech, and EdTech. Each product follows the same engineering rigour as enterprise work: performance-first, data-driven, and built to solve a real problem.
Microsoft Certified in Fabric Analytics Engineering (DP-600), Fabric Data Engineering (DP-700), and Azure Data Engineering (DP-203). Also certified in SC-401 and Anthropic CCA-F AI Fluency.
A multi-provider AI orchestration platform unifying Claude (Anthropic), GPT-4o (OpenAI), Gemini (Google), Perplexity, and Microsoft Copilot under a single interface. Built on a Python/FastAPI proxy backend that normalizes API contracts across five LLM providers — enabling seamless provider switching, slash-command document automation for .docx and .xlsx generation, and token-efficient agentic workflows.
An AI-powered personal finance platform delivering investment intelligence for Indian and NRI investors. Features 15-year multi-scenario SWP corpus simulations, a three-bucket withdrawal strategy engine, HUF tax optimization logic, and AI-powered investment Q&A. Built to bring data engineering precision to personal wealth decisions.
An AI-powered certification practice platform covering 30 exams across 8 vendors for Microsoft, AWS, Snowflake, Oracle, Google Cloud, Databricks, Salesforce, and Anthropic. 650+ topics, 50+ questions per topic, and 5 question types. No API calls during sessions — fast, offline-ready exam simulation built for serious professionals.
A free interactive AI crash course covering 23 core AI concepts — LLMs, RAG, embeddings, vector search, MCP, agents, prompt engineering, and more. Real-world use cases tied to enterprise and data engineering workflows, a visual concept flow diagram, a 4-week study roadmap, and a certification guide. Fully free, no login required, open to everyone.
Interested in a project, want a demo, or have a problem to solve? Fill out the form and I will get back to you within 24 hours.