
I'm a Software Developer specializing in web and application development.
Iβm Manoj Manjunatha, a Masterβs student in Computer Engineering at UC Riverside. My experience at Siemens Healthineers has been instrumental in shaping my skills, where I contributed to modernizing laboratory and inventory management systems, developed scalable cloud-based applications using Django, and designed user-friendly interfaces with Angular. My expertise in creating impactful solutions and my passion for technology drive my work. Explore my projects to see how I apply these skills to address real-world challenges.
From Education to Professional Excellence
Riverside, CA, USA
Pursuing advanced studies in Computer Engineering with a GPA of 3.74/4. Winner of UCR AI Idea Pitch Competition 2025. Specializing in microservices architecture, and full-stack development.
π EducationBoise, ID, USA
Designed and deployed a memory component fitness analysis tool using Angular 20, .NET Core Web API, and IIS server featuring interactive 3D model rendering via Three.js to eliminate manual die fitment calculations. Engineered die fitness computation algorithms and RESTful APIs to automate product validation and design rule compliance. Implemented an AI agent for intelligent reasoning and heuristic-based value selection, reducing human effort by 80% in reporting and validation processes.
πΌ InternshipBengaluru, India
Developed the UI of a cross-platform laboratory data management system using Angular with Micro-Frontend architecture and Module Federation, increasing user satisfaction by 20%. Improved scalability and modularity by integrating NGRX for state management and Nx CLI, reducing development time by 30%. Built and deployed a multi-tenant Django application on Azure Cloud supporting 1,000+ tenants and 1M+ records. Integrated C# microservices for seamless SAP and IoT communication, cutting processing time by 40%.
π WorkBengaluru, India
Developed a full-stack web application using Django DRF and React to replace a legacy WPF-based system, achieving a 30% reduction in processing time. Implemented role-based access control and built features for comprehensive report generation, improving system security and data accessibility.
πΌ InternshipDeveloped a SaaS platform that automates user story generation from software requirement documents using Django DRF, React, and Tailwind for the frontend, and LangChain, FAISS, and llama-3.2 . The platform integrates Groq AI Inference and Cohere vector embeddings for enhanced task generation, with sprint planning and team management features to streamline agile workflows and improve project efficiency.
It is a comprehensive code analysis platform that leverages AI agents to provide detailed insights into your GitHub repositories. It performs multi-faceted analysis including security scanning, code quality assessment, architecture review, dependency management, and trend analysis.
Visual Query Bot β Developed an interactive chat application that enables users to upload images, draw bounding boxes on specific regions, and ask targeted questions about those areas. Leveraged LangChain and LangGraph to build robust information retrieval agents for context-aware visual querying
A real-time multiplayer web implementation of the classic Chain Reaction board game. Create cascading reactions, dominate the board, and outsmart your opponents in this intense strategy game.
Presented idea on how to automate verification testing using AI agents (Browser Agents).
Developed the MVP for 'SKB Copilot: Smart Knowledge Documentation and Sharing' utilizing Generative AI and LLM at Siemens Healthineers, February 2024.
View CertificateRecognized as a Rising Star for exceptional achievements with under three years of experience at Siemens Healthineers, 2023-2024.
Led a team to a top 6 finish out of 1,878 teams, focusing on innovative solutions to combat COVID-19, e-Yantra IIT-B, 2021.
View CertificateFeel free to reach out for collaborations, opportunities, or just a friendly chat!