Nalin Veeramala

Current Projects & Experiments

Healthcare AI Platform | Azure AI, ASP.NET Core, RAG

• Designed and implemented an intelligent chat interface using Azure AI Agents and Foundry, enabling users to interact with healthcare documents via natural language.
• Developed secure, scalable ASP.NET Core APIs for uploading, parsing, embedding, and indexing healthcare documents into Azure AI Search.
• Integrated Retrieval-Augmented Generation (RAG) pipelines to provide real-time, contextual responses grounded in user-uploaded medical documents.
• Engineered a document ingestion workflow using Azure Blob Storage and Azure OpenAI Embeddings, supporting fast and accurate semantic search.
• Collaborated cross-functionally with product managers and data teams to translate healthcare domain requirements into scalable AI-driven solutions.
• Optimized full-stack performance and reliability, using C# backend APIs and Angular front-end where applicable.
• Enabled analytics and monitoring for AI interactions using Azure Application Insights, improving chatbot reliability and user trust.
• Implemented Single Sign-On server to enhance secure access across platforms.
• Developed microservice architecture for scalable and efficient application deployment.
• Utilized OAuth and OpenID Connect for robust authentication processes.
• Deployed applications using Docker containers for consistent environment replication.
• Configured Azure Container Registry to manage container images effectively.
• Leveraged Azure Kubernetes Service for streamlined workload orchestration.
• Converted real-time data from database collections into standardized HL7 FHIR resources, enabling interoperability with external healthcare systems and compliance with healthcare data exchange protocols.

EdTech AI Platform | GPT-4 via Azure OpenAI, ChromaDB, Nodejs, Angular, Charts.js

• Designed AI workflows for generating curriculum-aligned content using GPT and domain knowledge bases.
• Built intelligent “Second Brain” prototypes that summarized key topics for science and history lessons.
• Developed dynamic, adaptive learning modules that modified difficulty based on student interaction.
• Collaborated with educators to fine-tune AI outputs for pedagogical alignment and engagement.
• Delivered structured JSON/graph-based content maps to support platform logic and context management.

EdTech AI-Powered Adaptive Learning Platform | Solo Developer, Azure AI, ASP.NET Core

• Developed a full-stack web application to help schools create, distribute, and analyze student surveys.
• Leveraged AI/NLP (e.g., OpenAI API) to automatically generate survey templates from brief descriptions or prompts, reducing manual effort by up to 80%.
• Supported both single- and multiple-choice questions with predefined impact indicators for automated scoring and evaluation.
• Implemented real-time response tracking and auto-summarization of survey results using AI, enabling faster data-driven decisions.
• Built interactive dashboards with graphs (e.g., using Chart.js) to visualize trends, comparisons, and key insights.
• Enabled personalized invite links for students, ensuring secure and organized participation tracking.
• Designed a scalable backend with Node.js and MongoDB and a responsive frontend using Angular.

AI-Powered Visual Learning Platform | Solo Developer, Angular, Node.js, Ionic, OpenAI, AWS

• Developed cross-platform frontends using Angular (web) and Ionic (mobile).
• Engineered a backend in Node.js to handle PDF parsing, AI job queues (BullMQ), and content orchestration.
• Integrated OpenAI GPT-4 for chapter summarization, concept extraction, and quiz generation.
• Used DALL·E 3 for image creation, ElevenLabs for narration, and FFmpeg for dynamic video generation.
• Designed and deployed a parallel processing pipeline to handle multi-chapter uploads with Redis queueing and AWS S3 storage.
• Architected system to support future semantic search using vector databases like Pinecone

• Developed functional and class components for an e-commerce website using Angular 2+, CSS, Node.js, and Express.js.
• Developed a comprehensive Scientific diet calculator using JavaScript math properties.
• Designed and developed an admin panel for updating product details, managing stock, and logistics updates.
• Collaborated with designers to create responsive web layouts for improved user experience.

• Designed responsive websites using HTML, CSS, and JavaScript for diverse clients.
• Collaborated with clients to gather project requirements and deliver tailored solutions.
• Managed website updates and content changes based on client feedback and trends.
• Integrated third-party APIs to enhance website features and user experience.
• Provided ongoing support and maintenance for client websites post-launch.

• Implemented Multi-Tenancy support for managing multiple orders, customers, containers, and drivers across various trucking companies.
• Developed enhanced order management system to streamline shipment tracking and customer interactions.
• Created modules for clients and containers, facilitating effective management of client base and inventory.
• Integrated driver management system for efficient assignment, oversight, and tracking, boosting fleet performance.
• Designed secure role-based dashboard for tailored user functionalities, enhancing interaction and security.
• Provided ongoing support and issue resolution for software to ensure smooth user experience.