Anup Rai
AI/ML Software Engineer
Mangaluru
Summary
Experienced GenAI developer with 3+ years building intelligent applications using LLMs, RAG architectures, and computer vision systems. Proven expertise in deploying AI-powered solutions that reduce manual effort by 84% and enhance operational efficiency. Specialized in enterprise AI chatbots, image processing systems, and scalable ML pipelines using Python, .NET, and cloud technologies.
Overview
3
3
years of professional experience
2
2
Certifications
5
5
Languages
Work History
Engineer 1
Wipfli
Bengaluru
08.2022 - Current
- Architected and deployed production-grade AI systems using Python, OpenCV, and deep CNN models (ResNet, YOLO, U-Net) for defense-critical applications, achieving 95%+ accuracy in real-time processing
- Led cross-functional AI development team of 6 engineers, implementing Agile methodologies with sprint planning, daily standups, and code reviews, resulting in 40% faster delivery cycles
- Developed end-to-end computer vision pipelines for medical X-ray image enhancement using TensorFlow, implementing GANs (Real-ESRGAN, Pix2Pix) and traditional CV algorithms for noise reduction, contrast enhancement, and automated anomaly detection
- Engineered LLM-powered intelligent systems using transformer models (BERT, GPT variants) with RAG (Retrieval-Augmented Generation) architecture for automated document processing, achieving 90% accuracy in query answering, with sub-2 second response times.es
- Developed scalable .NET Core 6/7 Web APIs with clean architecture patterns (CQPR, Repository, Dependency Injection), implementing JWT authentication, role-based authorization, and Entity Framework Core for data persistence
- Built microservices architecture using .NET Core with Docker containerization, implementing service-to-service communication via gRPC and message queues (RabbitMQ/Azure Service Bus) for high-throughput AI processing workflows
- Integrated AI/ML models into .NET Core applications using ML.NET and ONNX Runtime, enabling real-time inference capabilities with 99.9% uptime and horizontal scaling support
- Implemented RESTful APIs and GraphQL endpoints in .NET Core for AI model serving, with comprehensive input validation, custom middleware for request/response logging, and automated API documentation using Swagger/OpenAPI
- Established comprehensive CI/CD pipelines using Azure DevOps/GitHub Actions with automated testing (unit, integration, performance), Docker containerization, and blue-green deployment strategies for zero-downtime releases
- Implemented robust testing frameworks with 90%+ code coverage using NUnit, MSTest for .NET applications and pytest for Python ML pipelines, including mock services and integration test suites
- Developed automation scripts and tools for Green 19 desktop application using PowerShell, Python, and .NET Core Console applications, reducing manual testing time by 60% and improving deployment reliability
- Configured monitoring and observability solutions using Application Insights, Prometheus, and custom logging frameworks, implementing alerting systems for real-time performance tracking and anomaly detection
- Optimized ML model performance through quantization, pruning, and TensorRT optimization, achieving 3x faster inference speeds while maintaining model accuracy for production deployments
- Implemented hybrid cloud solutions integrating on-premises .NET Core applications with Azure AI services (Cognitive Services, ML Studio), ensuring secure data processing for sensitive defense applications
- Developed custom NuGet packages and Python libraries for reusable AI/CV components, implementing versioning strategies and automated package deployment to internal repositories
Education
B.E - Electronics And Communication
N.M.A.M Institute Of Technology
Mangalore06.2022
CLASS XII - Karnataka State Board
Vikas Pre-University College
Mangalore05.2018
Skills
ASPNET Core Web API
SQL Server
PyTorch
Image processing with OpenCV
Python
Microsoft Azure
Artificial intelligence expertise
Scikit-learn
WPF
CSS
Java Script
Git
Certification
Azure AI 900 Certified (2024-05 - Present)
Accomplishments
- Collaborated with team of 10 in the development of Sharplogixx.
- Employee recognition award in the year 2024 and 2025.
- Converted Image editor POC to client application
Interests
Badminton, Standup Comedy, Cricket, Hosting corporate events, Event Management
Timeline
Engineer 1
Wipfli
08.2022 - Current
B.E - Electronics And Communication
N.M.A.M Institute Of Technology
CLASS XII - Karnataka State Board
Vikas Pre-University College