Madhira Nagender
@madhiranagender
Software engineer building full-stack AI-powered products, specializing in GenAI agents, RAG pipelines, and cloud deployment.
What I'm looking for
I’m a Software Engineer with nearly 2 years of hands-on experience shipping full-stack applications and AI-powered systems in production. I specialize in backend engineering with .NET Core and Python, and I build strong frontend experiences with React.js, while keeping delivery end-to-end from design to deployment.
Over the past year, I’ve worked extensively on Generative AI and agentic systems—building RAG pipelines, LangGraph-based multi-agent workflows, and OpenAI-integrated products on Azure and AWS. At Raya SoftwareSolutions, I led an Azure .NET Core 8 document intelligence platform that cut manual processing effort by ~40% using LangGraph agentic workflows, and I built a RAG chatbot embedded in a BI dashboard for business users. I’ve also optimized performance and reliability through microservices, async job queues, OAuth2.0 authentication with role-based access control, and caching/query tuning; for example, at DinjanInfotech Pvt Ltd I reduced API response times by ~30% and built a scalable ML inference pipeline with FastAPI and Celery. My projects reflect the same focus—multi-agent LangGraph automation, reliable extraction from PDFs/scanned documents, and real-time collaborative dashboards using SignalR.
Experience
Work history, roles, and key accomplishments
Software Engineer
Raya SoftwareSolutions
Jan 2025 - Oct 2025 (9 months)
Led the design and development of an Azure/.NET Core 8 document intelligence platform using LangGraph agentic workflows, cutting manual processing effort by ~40%. Built and deployed a LangChain-based RAG pipeline with Azure Cognitive Search and GPT-4o, and optimized async queues to reduce document processing latency by ~40% under peak loads.
Full-Stack Developer
DinjanInfotech Pvt Ltd
Aug 2024 - Dec 2024 (4 months)
Designed and shipped a React.js + Django REST Framework virtual influencer SaaS platform, integrating OpenAI models to enable AI-driven content creation from user prompts. Refactored a monolith into AWS ECS microservices, cut API response times by ~30% using PostgreSQL query tuning and Redis caching, and built a FastAPI + Celery ML inference pipeline for scalable background processing.
Education
Degrees, certifications, and relevant coursework
Lovely Professional University
Bachelor of Technology, Computer Science
Grade: 8.2 / 10.0
Completed a B.Tech in Computer Science at Lovely Professional University in May 2024. Earned a CGPA of 8.2/10.0.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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