# Priyadarshni Sundararajan > Actively Seeking Full-Time SDE Roles | Software Engineer | Full Stack Developer | MS CS (AI/ML) @ UB ’25 | React | Node | Java | AWS | Spring Boot | Python Location: United States, United States Profile: https://flows.cv/priyadarshni AI is the new electricity. Just as electricity transformed industries 100 years ago, AI will transform industries today.” – Andrew Ng As a Computer Science graduate specializing in AI and Machine Learning, I am driven by the belief that AI will have a profound impact on humanity. I am passionate about building intelligent, scalable AI systems, particularly in Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI, to solve real-world problems. With over two years of full-stack development experience, I have built and deployed AI-powered applications integrating Large Language Models (LLMs), semantic search, and vector databases, combining cutting-edge AI with practical engineering solutions. From developing campus automation software to AI-enhanced platforms, I focus on delivering scalable, user-centric, production-ready systems. My expertise spans modern tech stacks like React.js, Node.js, and cloud platforms, along with LLM application development, prompt engineering, and AI system design, enabling me to bridge AI research and real-world deployment. πŸ€– AI / GENERATIVE AI Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, AI Agents, Tool Calling, Prompt Engineering, Semantic Search, Embeddings, Vector Databases (FAISS, ChromaDB, Pinecone), LangChain, LangGraph, LlamaIndex, LLMOps, Model Evaluation, Response Grounding, Hallucination Mitigation πŸ’» Programming Languages JavaScript, C#, Java, Python, C, PHP, TypeScript πŸ—„οΈ Databases MySQL, MongoDB, PostgreSQL, SQL Server, NoSQL, Relational Databases, Stored Procedures, Database Design 🎨 Front-End Development HTML5, CSS, React.js, Angular, Redux, Material UI, Next.js, Bootstrap, jQuery, Responsive Web Design, SASS βš™οΈ Back-End Development Node.js, Express.js, .NET, C#, Laravel, Flask, Spring Boot, Core Java, GraphQL, REST APIs ## Work Experience ### Software Engineer @ CrowdDoing Jan 2025 – Present | San Francisco Bay Area Built an AI-powered Park Finder Copilot using Retrieval-Augmented Generation (RAG) to answer natural language queries like β€œquiet parks near me with trails”, combining geo-location data with contextual recommendations. Implemented semantic search using embeddings + vector database (FAISS/ChromaDB) to enhance park discovery beyond proximity, enabling intent-based results (e.g., shaded, less crowded, dog-friendly). Designed an agentic workflow (LangChain / LangGraph) orchestrating geo queries, retrieval, ranking, and response generation with tool-calling and structured outputs. Developed scalable Node.js/Express APIs for location storage and nearby park retrieval, integrating AI pipelines with clean service boundaries and reusable middleware. Optimized performance using multi-layer caching (TTL-based request/response caching), reducing redundant API calls and improving response latency for frequent location queries. Enhanced recommendation quality using hybrid search (vector + keyword), metadata filtering, and reranking techniques to improve relevance and user experience. ### Software Engineer (Full-stack) @ Virdhi Tech Lab Jan 2021 – Jan 2023 | Chennai, Tamil Nadu, India ● Built a unified listing API reused across multiple features, enabling consistent filtering/sorting and reducing duplicate backend logic. ● Increased multi-API retrieval speed by 40% through optimized joins, indexing, Redis caching, and pre-aggregated SQL pipelines. ● Reduced frontend bundle size by 35% using memoization, code-splitting, and lazy loading to improve interaction speed. ● Increased dashboard responsiveness by 40% through virtualization and optimized rendering patterns. ● Reduced API load by 30% with pagination, caching, and debounce/throttle strategies. ● Secured the application with JWT authentication, refresh-token rotation, and role guards supporting 6 user roles. ● Designed scalable database schemas for multi-entity workflows and high-volume storage. ● Delivered 30+ mobile UI components using React Native and Expo for advanced media workflows. ● Built advanced media features including TTS synchronized highlighting and FFmpeg-based audio/video processing pipelines. ● Reduced infrastructure costs by Dockerizing backend services and deploying on AWS (EC2/S3/RDS) supporting 10K+ videos. ● Versioned models and exposed predictions, confidence scores, and evaluation metrics in an admin dashboard. ### Software Engineer @ Sirius Computer Solutions Jan 2021 – Jan 2021 | Chennai, Tamil Nadu, India ● Implemented secure authentication using JWT, RBAC, and 3 custom security filters to protect REST APIs. ● Built layered backend architecture (DTO/service/repository) with exception handling for maintainability. ● Reduced API response times by ~30% through SQL tuning, pagination, indexing, and caching. ● Built 25+ Angular components and modules to improve UI consistency and modularity. ● Delivered stable AWS deployments via EC2/RDS setup and secure VPC configuration. ### Software Engineer @ Znifa Technologies Private Limited Jan 2021 – Jan 2021 | Chennai ● Improved UI consistency and maintainability by developing reusable frontend components ● Enhanced code quality by implementing backend logic in Java with JUnit testing and resolving key UI defects for smooth releases. ## Education ### Master of Science - MS in Computer Science University at Buffalo ### Bachelor's degree in Information Technology Anna University Chennai ### XI-XII Jawahar Vidyalaya Higher Secondary School ## Contact & Social - LinkedIn: https://linkedin.com/in/priyadarshni --- Source: https://flows.cv/priyadarshni JSON Resume: https://flows.cv/priyadarshni/resume.json Last updated: 2026-04-10