Buyyarapu Vishal

Production-style portfolio management stack: React + Spring Boot, analytics, and trading-adjacent workflows.

• •Built AURUM, a full-stack AI-powered portfolio management and research platform supporting live, simulation, and research trading workflows using React 18, TypeScript, Spring Boot 3, MySQL, and REST APIs.
• •Engineered advanced financial analytics modules including portfolio tracking, AI-driven risk decomposition, stress testing, VaR analysis, behavioral analytics, and decision journaling with real-time market insights integration.
• •Developed scalable backend architecture with Spring Boot, JPA, Swagger/OpenAPI, ACID-compliant transactions, indexed database queries, and modular Controller–Service–Repository design, ensuring production-ready performance and maintainability.
• •Designed an interactive trading intelligence UI featuring agent advisory panels, research lab, live market/news dashboards, terminal-style command execution, and dynamic data visualizations using TailwindCSS, Zustand, Recharts, and Axios.

Hybrid sparse + dense search at extreme scale with sub-150 ms latency and hot-reload freshness.

• •Extreme-scale, ultra-low-latency hybrid search platform achieving billion-scale search with sub-150 ms latency.
• •Combines sparse search (BM25 + Block-Max WAND) with dense ANN search, orchestrated by learned query budgeter for optimal execution paths.
• •Features hot-reload mechanism for real-time data freshness within 1-2 seconds and scalable C++ core with horizontal sharding.
• •Implements sparse-first routing strategy for cost-efficiency and fast sparse queries (≤80 ms) with semantic dense retrieval.

Gemini + MCP banking assistant with JWT, WebSockets, and multi-turn flows—hackathon-shippable.

• •Developed a modular, web-based banking chatbot using FastAPI, Google Gemini LLM, and a custom MCP server, enabling intelligent, context-aware conversations for simulated banking operations.
• •Engineered a full-stack architecture with REST and WebSocket APIs, JWT-based authentication, multilingual and accessibility support, and real-time conversational UI built with HTML/CSS/JS.
• •Implemented multi-turn dialogue management with slot filling, context retention, and intent routing, enabling seamless handling of complex banking flows like loan applications, card blocking, and account queries.
• •Integrated LLM-driven NLU (Gemini 1.5 Flash) for intent detection and dynamic response generation, achieving robust conversational understanding in a hackathon-ready, extensible banking assistant system.

Multilingual career platform with Gemini content, Chrome extension, and measurable application-time cuts.

• •Fabricated an AI-powered software platform for smart learning and career guidance, with support for 16+ Indian languages.
• •Integrated Gemini-based AI content generation, user surveys, and personalized job dashboards.
• •Implemented a Chrome Extension for auto job applications and AI mock interviews, cutting application time by 50% and increasing user interview readiness.
• •Personalized communities, alumni connect, reward coin system and real-time social feed, fostering 40% higher career networking interactions.

Mental wellness app with secure health flows, reminders, and sentiment-aware community features.

• •Developed a mental wellness software application enabling private health data security and user-centric design, supporting personalized care workflows.
• •Engineered automated health reminders and doctor-patient chat modules, improving mental health follow-up adherence by 30%.
• •Introduced community features, daily mental health surveys, and real-time updates backed by natural language sentiment analysis, with a strong focus on security to enhance user experience.

Real-time ambulance coordination with GPS routing and hospital load—built for speed under pressure.

• •Created a real-time ambulance tracking software application that reduced emergency response times by 35% using GPS-based live updates and location sharing with hospitals.
• •Handled 50+ simultaneous hospital-ambulance connections with stable performance, ensuring data availability even during peak loads.
• •Used Firestore and efficient data handling to maintain stable performance during peak usage and ensure quick updates across devices.
• •Integrated features like traffic-aware routing, estimated time of arrival (ETA), and nearest hospital detection to assist in faster decision-making.