Hello, I'm
Bhavik Patel
IT Consultant
I modernize business-critical .NET applications and deliver dependable Azure, data, API, and modern web solutions—from architecture through production.
experience
engineering
to delivery
Who I am
About Me
IT Consultant and Freelance Developer with 14+ years of experience delivering full-stack applications across Microsoft technologies, React, Angular, and SQL Server.
I design scalable systems, optimize data-intensive applications, build Azure cloud solutions, and lead teams from business requirements through reliable production delivery.
- Location
- India
- Phone
- +91 94281 14611
- Availability
- Available for consulting
Capabilities
What I Do
Solution Architecture
Designing maintainable web and cloud solutions that connect business requirements with pragmatic technical decisions.
Full-stack Development
Building reliable applications and APIs with .NET, modern JavaScript frameworks, databases, and clean engineering practices.
AI-Assisted Engineering
Exploring practical GenAI workflows for development acceleration and validation, supported by Python automation and data-processing experience.
Azure Cloud Engineering
Building scalable cloud applications with Azure App Services, Function Apps, Azure SQL, automated delivery pipelines, and reliability-focused architecture.
Technical Leadership
Guiding teams through estimation, architecture, delivery, reviews, and the day-to-day decisions that keep projects moving.
Legacy Application Modernization
Transforming legacy and monolithic applications into maintainable, cloud-ready solutions through incremental migration, modular architecture, modern frameworks, secure APIs, automated testing, and CI/CD—while protecting critical business workflows.
Ways to work with me
Focused Engagements
Clear, outcome-oriented engagements for teams that need senior technical judgment and hands-on delivery without unnecessary process.
Assessment: 5–10 working days
Legacy .NET Modernization
A practical modernization plan for business-critical .NET applications, designed to reduce delivery risk while protecting essential workflows.
Best for: Teams carrying a monolith, unsupported framework, tightly coupled database, or slow release process.
View engagement →Review: 3–5 working days
Azure Architecture & Performance Review
An independent review of an Azure application’s scalability, reliability, maintainability, and operational readiness.
Best for: Products preparing for growth, migration, a reliability initiative, or a difficult production release.
View engagement →Typical sprint: 2–4 weeks
Full-stack Delivery Sprint
Focused implementation of a feature, workflow, API, integration, or modernization slice from technical design through production-ready delivery.
Best for: Teams that need senior hands-on delivery without adding a permanent role.
View engagement →Diagnostic engagement: 3–7 working days
Data & API Performance Optimization
Targeted analysis and remediation for slow SQL Server workloads, inefficient data access, and APIs that struggle under production load.
Best for: Applications affected by slow screens, reporting delays, timeouts, or database-heavy workflows.
View engagement →Proof of concept: 2–3 weeks
AI Automation Proof of Concept
A bounded proof of concept that tests whether AI-assisted automation can improve a real workflow before a larger investment is made.
Best for: Teams exploring document, knowledge, validation, or development workflows with a clear business use case.
View engagement →Not sure which engagement fits? Start with the business problem and I’ll help identify the smallest useful next step.
My background
Experience & Skills
Experience
Full-stack Developer Lead
Developing core mortgage-servicing features with .NET 6, C#, React, REST APIs, SQL Server, Material UI, and Azure SQL. Improving API scalability, database performance, third-party financial integrations, and production reliability.
Senior Technical Lead
Leading cloud-native application delivery with .NET, React, Azure App Services, Azure SQL, Function Apps, microservices, and Docker. Designing data models and CI/CD workflows while using Python for automation, processing, and validation.
Senior Technical Lead
Led a team of 15 developers delivering scalable .NET and Azure applications. Designed SQL Server solutions that improved data-processing performance by 30% and supported high-availability deployments on Azure.
Senior Software Engineer
Managed the software lifecycle from requirements through delivery and maintenance. Built database-driven solutions for healthcare, finance, and eCommerce using .NET, C#, SignalR, Windows Services, XAML, and SQL Server.
Software Developer
Developed enterprise web applications with C#, .NET, ASP.NET, JavaScript, HTML, CSS, and SQL Server while collaborating with product and QA teams.
Education
Bachelor of Engineering, Computer Engineering
Bachelor of Engineering in Computer Engineering.
Technical depth
How I Build
I combine established software engineering with practical AI and cloud capabilities—choosing technology around the problem, operational needs, and long-term ownership.
GenAI & Automation
Applying Python automation today while actively developing GenAI skills for faster development and stronger validation workflows.
- Python Automation
- Data Processing
- GenAI Concepts
- Development Acceleration
- Validation Workflows
Azure Cloud
Secure, observable cloud architectures designed for maintainability, scalability, and predictable operations.
- Azure App Service
- Azure Functions
- Azure SQL
- Azure DevOps
- CI/CD Pipelines
- Infrastructure Reliability
Platform Engineering
The engineering foundations that help teams ship dependable software with confidence.
- Modern .NET
- React & Angular
- Next.js & Vue.js
- TypeScript
- REST & GraphQL APIs
- Microservices
- Event-Driven Architecture
- Docker
- GitHub Actions
Data & Integration
Designing and tuning data platforms for dependable, high-performance business applications.
- SQL Server
- Stored Procedures
- Query Optimization
- Data Modeling
- Cosmos DB
- PostgreSQL & MySQL
- MongoDB
- ETL & ADF Exposure
Evidence from delivery
Selected Case Studies
NDA-safe examples drawn from my professional experience, focused on the problem, technical approach, and outcome.
Scaling a Mortgage Servicing Platform
A business-critical servicing platform needed dependable feature delivery, scalable APIs, efficient financial data access, and reliable third-party integrations.
- Developed core servicing workflows across the .NET and React application
- Improved API scalability and SQL Server performance
- Integrated third-party financial tools while protecting business rules
A more maintainable servicing platform with stronger API scalability, database performance, integration reliability, and production readiness.
Improving Enterprise Data Processing
Data-intensive application workflows required faster processing and a delivery approach that could support high-availability Azure deployments.
- Led a 15-developer engineering team
- Designed and optimized SQL Server solutions
- Aligned application and database changes with Azure deployment needs
Improved data-processing performance by 30% while supporting scalable, high-availability delivery on Azure.
Building Cloud-Native Business Applications
Enterprise products needed maintainable cloud architecture, automated delivery, dependable data models, and clearer operational ownership.
- Designed cloud applications using Azure managed services
- Introduced modular services, Docker, and automated delivery workflows
- Created data models and integration patterns for business workflows
Repeatable engineering foundations for scalable application delivery, maintainability, and more predictable cloud operations.
Business context
Domain Experience
Mortgage & Fintech
Business-critical servicing and financial workflows where accuracy, integration reliability, auditability, and data performance matter.
Healthcare
Operational applications that need secure data access, dependable workflows, clear ownership, and maintainable integrations.
Insurance
Process-oriented systems that connect business rules, documents, data, and third-party services across long-running workflows.
eCommerce & Point of Sale
Transaction-focused applications that benefit from reliable integrations, responsive user experiences, and efficient operational data.
Technical footprint
Solutions I Deliver
Representative solution areas across web, cloud, data, connected systems, and applied AI.
Mortgage Servicing Platform
Core mortgage-servicing features, scalable backend services, database optimization, and integrations with third-party financial tools.
Cloud-Native Enterprise Applications
Scalable application platforms designed for reliability, maintainability, automated delivery, and predictable cloud operations.
Data-Driven Applications
Enterprise systems backed by carefully designed schemas, stored procedures, efficient data access, and performance-focused query optimization.
Business Process Systems
Custom systems developed for finance, insurance, healthcare, eCommerce, and point-of-sale business workflows.
Technical perspective
Latest Articles
Practical architecture guidance for teams modernizing applications, improving Azure workloads, and building dependable full-stack and AI systems.
Modernizing a Legacy .NET Monolith to .NET 10 Without a Big-Bang Rewrite
A risk-controlled modernization roadmap that protects business workflows while moving architecture, runtime, delivery, and operations forward in measurable slices.
Read article →From RAG Demo to Production: Building Secure AI Applications on Azure
A production architecture for retrieval-augmented generation that covers identity, ingestion, retrieval quality, evaluation, observability, security, and cost.
Read article →An Azure Cost and Performance Review Checklist for .NET Applications
A workload-first review method for finding Azure savings without trading away reliability, response time, or operational clarity.
Read article →Next.js 16 and .NET 10: A Production Architecture for Enterprise Applications
A clear division of responsibilities for building secure, observable enterprise applications with a Next.js frontend and a .NET backend on Azure.
Read article →How to Diagnose Slow SQL Server Applications Before Adding More Infrastructure
A systematic investigation workflow that traces latency from the user request through application code, waits, query plans, locking, and resource consumption.
Read article →How to Evaluate an AI Automation Use Case Before Building It
A practical decision framework for testing business value, data readiness, operational risk, and measurable AI quality before funding a build.
Read article →Protecting Sensitive Business Data in Azure AI Applications
A layered security model for prompts, grounding data, model access, logs, agent tools, storage, networking, and operational governance in Azure AI workloads.
Read article →Adding AI Capabilities to an Existing .NET Application Incrementally
A low-risk delivery path for introducing AI behind stable .NET abstractions, feature flags, evaluations, and human review without redesigning the whole application.
Read article →Securing GraphQL APIs Against Expensive Queries and Data Exposure
A defense-in-depth approach to GraphQL authorization, query cost controls, pagination, batching, trusted operations, error handling, and production observability.
Read article →Using GraphQL @oneOf Inputs in Modern API Design
How OneOf Input Objects express exclusive alternatives, improve validation and tooling, and replace ambiguous input combinations without moving business rules into the schema.
Read article →Backend-for-Frontend with Next.js and .NET
A practical division of responsibilities for using Next.js as a web-specific API layer while ASP.NET Core owns durable business capabilities and data access.
Read article →Professional references
References are available for relevant engagements.
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Have a project in mind?
Tell me what you're building, modernizing, or trying to solve. I'll get back to you to discuss the right next step.