Senior Software Engineer and AI Engineer with 19+ years of experience building enterprise applications, scalable .NET systems, cloud solutions, distributed architectures, and AI-enabled applications.
I’m open to opportunities including full-time positions in India, international remote roles, Contract, Contract-to-Hire, B2B, and Consulting engagements.
I have 19+ years of experience designing, developing, modernizing and delivering enterprise software using Microsoft technologies.
My core expertise spans C#, .NET, ASP.NET Core, Web APIs, SQL Server, Angular, React, AWS, Azure, Docker, Microservices, Event-Driven Architecture and Distributed Systems.
I have worked across cloud platforms, enterprise applications, legacy modernization, healthcare, HR, learning platforms and industrial IoT / energy monitoring systems.
I am also actively expanding my engineering focus into Generative AI, LLMs, RAG, prompt engineering, AI agents and AI-powered application development, combining modern AI capabilities with proven enterprise software engineering practices.
I enjoy solving complex engineering problems involving scalability, performance, architecture, integration, modernization, reliability and developer productivity.
AI + .NET + Cloud — building and experimenting with practical AI applications, RAG systems, AI-assisted modernization approaches and intelligent developer productivity tools.
A large-scale cloud-based Learning Management System designed for educational institutions and businesses to deliver training and learning content at scale.
Contributed to solution design, technical discussions, client demonstrations, roadmap planning, estimations, code reviews, technical documentation and mentoring. Worked on Event-Driven Database Migration (EDDS) and developed a C# code-generation utility that reduced development time and effort by approximately 50%.
A comprehensive HR management platform supporting employee management, payroll, leave management, performance tracking and HR workflows.
Modernized a legacy VB6 application into a cloud-based Angular and ASP.NET Core solution. Worked on REST APIs, scalable architecture, database optimization, AWS deployment, CI/CD and AI-powered HR workflow automation using Amazon Lex.
A cloud-based healthcare and diagnostic laboratory solution supporting patient management, specimen collection, specimen tracking and laboratory information management.
Designed and implemented MVVM architecture, developed WPF applications, worked on real-time asset tracking, ASP.NET MVC, LINQ, Silverlight modernization and T4 scaffolding. Contributed to healthcare integration using HL7.
A configurable Energy Management System designed to communicate with industrial electrical meters, collect real-time measurements and provide reusable monitoring capabilities for different meter types and data tags.
Designed a generic meter/tag architecture supporting register addresses, function codes, data types, byte and word ordering, scaling, offsets, units and bit-level data. Implemented asynchronous polling, batch register reads, retry and timeout handling, and resilient communication.
An AI-powered knowledge platform exploring Retrieval-Augmented Generation (RAG) for document-based question answering and enterprise knowledge management.
Focused on document ingestion, processing, chunking, embeddings, semantic retrieval, vector search, context construction and LLM-based response generation. The project explores practical local AI and RAG architecture integrated with .NET applications.
An engineering approach exploring how Generative AI can accelerate analysis and modernization of legacy enterprise applications.
Focus areas include legacy code analysis, business-logic discovery, documentation generation, code conversion, test generation, architecture analysis and migration from technologies such as VB6 toward modern C#, ASP.NET Core and cloud architectures.
A technical learning and interview preparation platform covering C#, .NET, ASP.NET Core, SQL Server, architecture, design patterns, microservices, cloud and DevOps.
Designed as a foundation for AI-assisted learning, contextual explanations, interview question generation, real-world examples and personalized technical knowledge discovery.
A reference architecture exploring practical microservices patterns for enterprise .NET applications, including service boundaries, asynchronous communication, resilience, observability and cloud deployment.
A web-based complaint management application where multiple departments can collaboratively manage different sections of the same complaint record while maintaining department-specific responsibilities.
Designed as a simple ASP.NET MVC monolith with role-based access, shared records, search and filtering, and department-specific data management for Mechanical, Sales and Purchase teams.
A mobile-first product inventory application designed to capture, organize and search product collections using images, metadata, tags and barcode information.
Planned capabilities include product image capture, quantity and price tracking, vendor/source management, purchase and expiry dates, barcode scanning, AI-assisted product tagging, search, filtering and price history.
A calendar platform concept for organizations requiring centralized scheduling, shared calendars and controlled access where collaboration and calendar service availability are limited.
Design and development of maintainable, scalable backend systems and REST APIs using C#, .NET and ASP.NET Core.
Help design and modernize enterprise applications using clean architecture, microservices, modular monoliths and event-driven patterns.
Explore practical AI capabilities for enterprise applications using LLMs, RAG, prompt engineering and AI-powered workflows.
Support cloud application development, containerization, CI/CD and modernization using AWS, Azure, Docker and modern engineering practices.
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Indralok Technologies Pvt. Ltd
Sardar Patel University (SPU)
Veer Narmad South Gujarat University
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kevinbhavsar.mca@gmail.com
+91 (972) 514-1303
Pune, India