Engineering the long distance
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.
For a full career timeline, enterprise experience, and certifications visit ksaisharatkumar.github.io ↗
Multi-provider AI orchestration platform unifying Claude, GPT-4o, Gemini, Perplexity, and Microsoft Copilot. Python and FastAPI backend normalizing five LLM APIs with slash-command document automation pipeline generating .docx and .xlsx artifacts.
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 including 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.
An enterprise supply chain anomaly detection engine that monitors Tier 1 to 3 supplier networks in real time, automatically detecting disruptions such as EDI silence, shipment delays, risk score spikes, and stockout risks. When an anomaly is flagged, SCADE's blast radius engine computes full financial exposure across the supplier graph and deploys an AI-powered War Room that generates Pareto-ranked mitigations in under 2 minutes. Built on FastAPI and React with Claude as the reasoning engine, SCADE turns reactive crisis management into proactive supply chain intelligence.
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.