Software & solution architecture
Target architectures, architecture reviews, technical due diligence and roadmaps for platforms that must scale across teams, tenants and regions.
Divinity Software is the consulting practice of Jignesh Patel, a solution architect with more than 25 years of enterprise delivery. Today the work centres on Azure, AI integration, intelligent automation, machine learning and data science, built on the same discipline that kept multinational platforms running for over a decade.
Badly designed systems are hard to maintain, support and extend, and AI makes that worse, not better. I help teams make the structural decisions that keep software dependable as it grows.
Target architectures, architecture reviews, technical due diligence and roadmaps for platforms that must scale across teams, tenants and regions.
Azure landing zones, application modernization, identity and security design, cost-aware infrastructure and migration from on-premise .NET estates.
Bringing large language models into existing products: retrieval over your own data, copilots, evaluation and guardrails, all inside your permissions model.
Agentic workflows and intelligent process automation that remove manual effort from operations, with humans in the loop where it matters.
Speech, text and image analysis and predictive models, built on open-source or commercial services and taken to production with monitoring and clear ownership.
Turning operational data into decisions: analysis, forecasting and the Azure analytics components that put insight in front of the people who act on it.
Extraction and transformation pipelines from on-premise, SaaS and online sources into data lakes that are secure, governed and fast to query.
Connecting systems across vendors and technologies, including single sign-on, directory sync, payments, data exchange and reporting pipelines.
A Master in Computer Applications from South Gujarat University (1999), then thirteen years in the core management team of a UK learning-technology company before founding Divinity Software. Throughout, the constant has been designing systems that integrate many vendors into one dependable platform.
Designing extraction and transformation from on-premise, SaaS and online sources into Azure data lakes, setting security and performance practice across SaaS, mobile and data products, and evaluating ML services for speech, text and image analysis.
Designed the newest version of a long-running enterprise learning platform on Azure cloud architecture, oversaw implementation, and integrated AI capabilities into the product.
Architected an adaptive, multi-site learning platform for server farms and distributed content, then extended it with single sign-on, directory sync (Active Directory, Novell, Sun One), events management, e-commerce and SCORM 2004 sequencing.
Helped JZERO win NETg's largest outsourced project on the strength of an early .NET architecture. Orchestrated Cisco virtual labs, Safari online books, exam booking and mentoring into one adaptive study plan that ran from the first lesson to exam day.
Designed a call-capture and dispatch system for an animal-rescue trust that kept average response time to 3 minutes 20 seconds on its busiest day of the year.
“Anytime we gave him a problem we thought he could not do, he came back with a solution. We ended up adding several enhancements, and every time we got the beta code to test, everything worked as expected.”
“They created a fantastic, easy to understand yet comprehensive system for registration and logistics. When runners say organizers of bigger marathons should learn several things from this, you know this team has done absolutely great work.”
“The solution helped us achieve a response time of 3 minutes 20 seconds on the emergency day when we receive 250 calls in 12 hours for injured birds. Your solution really empowers us.”
“Jignesh has a very good eye for detail. He is able to grasp complex ideas and convert them into simple, functional software. In Jignesh we found a team with the focus and drive to understand our business in detail and think of ideas that made sense for us.”
“Jignesh is a highly skilled techie with very good command over .NET technology. He understands requirements in detail very quickly. Very much focused on the task given and a true professional.”
Architecture reviews, long-term architecture partnerships, AI and data initiatives, and technical leadership for teams that need senior judgement without a full-time hire.
Yes. Most AI work is integration work: connecting models to your data, workflows and permissions safely. That is where 25 years of systems integration pays off.
Yes. I work remotely from India with English-speaking clients in any region, as I have with UK, European and US clients for most of my career. Engagements are fully remote; I don't work on-site.
Primarily Microsoft Azure and .NET, with Python for machine learning and data science, plus whatever your existing systems require.
Tell me what you're building or untangling. I reply personally, usually within two working days.