Passionate C# developer with nearly five years of experience at Windmill Services, building automation, analytics, and intelligent systems. Blending software engineering, AI, and quantitative finance to develop scalable, data-driven enterprise solutions.
I’m a Senior Solutions Developer at Windmill Services with over four years of experience in C# and .NET enterprise development, focused on automation, intelligent document processing, and data analytics. I specialize in designing and deploying end-to-end AI-enabled workflow solutions that bridge technology and business intelligence.
My professional foundation is rooted in C# and quantitative problem-solving — using software engineering principles and mathematical models to create reliable, scalable solutions. My projects span intelligent document processing, financial automation, and business insight platforms built on .NET and data-driven architectures.
In addition to my technical career, I currently serve as the Youth Coordinator of NRNA Canada, where I lead youth-oriented programs, leadership training, and community engagement initiatives. This role has strengthened my communication, mentoring, and organizational skills — enhancing my ability to collaborate and lead in technical and non-technical environments alike.
My journey from Physics and Economics to Computer Science and AI gives me a unique quantitative edge in C#-based financial engineering and data analysis.
Expert in C#, .NET Core, and ASP.NET MVC — architecting enterprise-grade automation, data, and financial systems.
Intelligent Document Processing (IDP), Workflow Automation, and Kofax TotalAgility integration powered by C# and AI.
Risk computation, portfolio analytics, and quantitative modeling using C#, Python, and econometrics techniques.
Strong background in mathematics, algorithms, and statistics for data interpretation and model optimization.
Led the development of an AI-driven cash application platform using C# and Kofax TotalAgility. Designed to automate invoice processing, payment matching, and data extraction with high reliability and scalability.
Integrated SQL databases and API-based data exchange to ensure real-time reporting and seamless client onboarding in production.
Built a personal research toolkit for financial analysis using C# and Python. Implemented price data ingestion, moving average calculations, and risk metrics like volatility and Sharpe ratio for portfolio evaluation.
This project demonstrates cross-domain capability — combining programming, finance, and data science.
Contributed to Market Risk Technology initiatives using C# and Python. Enhanced risk modeling infrastructure and data pipelines that supported market exposure and P&L systems.
Developed a .NET MVC web platform in C# for managing childcare centers, including reporting, enrollment, and billing modules. Improved operational efficiency and user engagement.
Apr 2025 – Present · Toronto, ON (Remote)
Jan 2021 – Apr 2025 · Toronto, ON (Remote)
2019 – 2020 · Toronto, ON
2017 – 2018 · Toronto, ON
2025 – Present · Canada
Focused on Python programming, Data Structures, Algorithms, Database Systems, Artificial Intelligence, and Operating Systems. Completed advanced coursework in Linear Algebra, Calculus, and Big Data Analytics.
Specialized in C# programming, .NET Framework, SQL Databases, and Windows/Linux systems. Developed expertise in system design, software development, and client communication.
Studied Microeconomics, Macroeconomics, Quantitative Finance, Econometrics, and Mathematical Economics, building quantitative insight into market behavior and financial modeling.
Gained strong foundations in Algebra, Mathematical Analysis, and Statistics, strengthening analytical and problem-solving skills for quantitative and technical disciplines.
Open to roles in C# Quantitative Development, AI Engineering, and Automation Analytics.
Email: Office@HemrajKafle.com
LinkedIn: linkedin.com/in/hemrajkafle
GitHub: github.com/hemrajkafle