Rudresh Raj

Rudresh Raj

Software Engineer | Full Stack & AI Specialist

I like building things. Figuring out how a system should work, then making it actually work. Give me a problem and I'll happily go end-to-end on it: schema design, backend, UI, the deploy pipeline, all of it.

What keeps me hooked is the problem-solving: untangling a gnarly bug, finding the shape of a system that isn't obvious yet, or shaving latency off something that used to be slow. I gravitate toward AI-driven products, real-time dashboards, and anything with data flowing through it at scale.

Outside of work, that same itch shows up as competitive programming: 400+ LeetCode problems solved and a peak contest rating of 1500+. A good algorithm problem is just problem-solving in its purest form.

Skills

Languages
JavaScript (ES6+)TypeScriptPythonSQLJavaC++Go
Frontend & Mobile
Next.jsReact.jsReact NativeRedux ToolkitTailwind CSSFramer Motion
Backend & Architecture
Node.jsNestJSFastAPIMicroservicesREST APIWebSocketsGraphQL
Databases
PostgreSQLMongoDBRedisElasticsearchPinecone
DevOps & Cloud
AWSAzureDockerKubernetesTerraformGitHub ActionsLinuxNginx
AI & Engineering
RAG PipelinesLlamaIndexLangChainOpenAI APIHugging Facen8n

Work experience

Aug 2025 - Present

Software Engineer & Full Stack Developer, Cognitivo (Australia, Remote)

Architected Prospo, an AI-native workspace giving financial advisors real-time insight into enterprise client portfolios, built on Next.js and Go. Designed the data layer (Python and Databricks pipelines feeding PostgreSQL) and customized Apache Superset into live BI dashboards teams actually use. Own multi-cloud DevOps across AWS and Azure, wiring up third-party integrations and shipping internal tooling end-to-end.

Oct 2024 - Jul 2025

Software Engineer, Afto Dynomo (Ontario, Canada, Remote)

Architected a multi-tenant SaaS platform in Next.js with a single dashboard driving concurrent client operations, and shipped a companion React Native app with CodePush OTA updates and Sentry crash monitoring. Built an agentic RAG system with LlamaIndex that lifted internal knowledge-retrieval accuracy by 30%, and rebuilt the Python ETL pipeline processing 100,000+ products/day, cutting Elasticsearch query latency by 200ms along the way.

Feb 2024 - Sept 2024

Full-Stack Web Developer, RYM Grenergy (Gurugram, Haryana)

Engineered an SEO-optimized media platform and custom CMS from scratch: Next.js SSR, Node.js, and MongoDB, with Azure Blob Storage handling image delivery. Added Redis caching in front of high-traffic engagement metrics to keep load off the primary database, and built a semantic search engine using Elasticsearch and vector embeddings for content discovery that goes beyond keyword matching.

Education

2021 - 2025

Bachelor of Technology, Computer Science (AI & ML)

GD Goenka University, Gurugram, Haryana

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