Prajwal Jaiswal

{About Me}

I am a Software Engineer

with a strong background in backend systems, distributed systems, and applied AI/ML, currently pursuing my Master's in Computer Science at Rochester Institute of Technology. I've shipped production code as a backend intern at London Stock Exchange Group, with expertise across Python, Java, TypeScript, React.js, Node.js, Spring Boot, FastAPI, and cloud infrastructure on AWS & DigitalOcean.

I enjoy building scalable distributed systems, performance-critical backend services, and LLM-powered applications, often integrating RAG pipelines, agentic frameworks, and machine learning models into real products. I like picking projects that push me to go deep on systems design and performance one week and experiment with the latest in applied AI the next, always with an eye toward data-driven decision-making and building solutions that hold up in production.

I'm actively seeking Software Engineering and AI/ML opportunities, where I can contribute to cutting-edge projects and grow as an engineer. Let's connect and build something innovative!

{Skills}

React.js

Next.js

React Native

FastAPI

JavaScript

Python

Java

MongoDB

MySQL

C++

Amazon AWS

Docker

Kubernetes

Git

HTML

CSS

{Experience}

Diagnosed and resolved a Yieldbook analytics pipeline bottleneck during scenario expansion from 50 to 250 inputs by re-architecting data retrieval with concurrent batch fetching, cutting processing time by 60%.

Built internal analytics tools from scratch (Indic bond data, scenario calculation) used by quant/analytics and client-facing teams to explore and demo Yieldbook's fixed-income capabilities.

Shipped a new Spring Boot endpoint to retrieve prepay model versions and metadata by effective date for downstream model-lineage audits, backed by JUnit and Mockito tests.

JavaSpring BootPostgreSQLRedisJUnitMockitoConfluence

Built and optimized Node.js APIs with efficient MongoDB schema design, reducing average API latency by 33%.

Shipped Stripe integration covering 3 payment flows (subscriptions, one-time checkout, refunds) with webhook handling and idempotency safeguards against duplicate charges.

Designed and built a content-based recommendation engine that scored item similarity from implicit user-engagement signals (views, interactions) to surface related items and personalize content discovery.

Configured DigitalOcean infrastructure with managed databases and CI/CD pipelines across staging and production environments, automating deployments and reducing release friction.

Node.jsMongoDBVue.jsNuxt.jsRecommendation SystemsLLMsStripeDigitalOceanCI/CDNginx

Built and deployed 4 major Xarwin AR platform components (authentication, dashboard, AR model viewer, and storefront builder) using React.js and Node.js, owning each end-to-end from design through production.

Architected RESTful endpoints in Node.js and Express.js with JWT authentication; introduced indexing on high-frequency MongoDB queries, reducing API response times by 30% and database latency by 20%.

Led deployment efforts on AWS using Kubernetes, configuring NGINX reverse proxies for request routing and SSL termination across staging and production environments.

MongoDBExpress.jsReact.jsNode.jsAWSKubernetesNginx

Crafted an intuitive frontend for the E-Mart e-commerce site using React.js, driving a 15% boost in conversion rates.

Engineered backend API endpoints with Spring Boot and MySQL database integration, processing 25-30 secure transactions daily with 99.99% data consistency, accelerating order fulfillment.

Reduced page load times by 10% through efficient asset optimization, improving overall responsiveness.

React.jsSpring BootMySQL