# Rudransh

Full-stack & AI Engineer

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## summary

Architecting and deploying high-performance AI systems and resilient full-stack applications. Obsessed with low-latency infrastructure, clean architecture, and pushing the boundaries of what models can execute in production environments.

## experience

Senior AI Engineer @ Vertex Solutions

[ 2023 - NOW ]
  • > Spearheaded the migration to a microservices architecture, reducing inference latency by 45% across global edge nodes.
  • > Developed and optimized custom RAG pipelines handling 1M+ daily queries with sub-second retrieval times.
  • > Implemented zero-downtime deployment CI/CD pipelines using GitHub Actions and Kubernetes.

Full-Stack Developer @ Quantum Dynamics

[ 2020 - 2023 ]
  • > Architected scalable data ingestion pipelines processing 500GB+ of telemetry data daily using Kafka and Go.
  • > Built comprehensive monitoring dashboards in React, improving system observability for the engineering team.
## projects

A high-throughput vector database wrapper designed for ultra-low latency semantic search in constrained environments.

[rust] [grpc] [faiss]

neural_net_viz

open_in_new

Real-time WebGL visualization engine for monitoring transformer attention heads during inference.

[typescript] [three.js] [python]
## education

M.S. Computer Science

Tech Institute of Advanced Studies [ 2018 - 2020 ]

B.S. Software Engineering

State University [ 2014 - 2018 ]
## skills
> languages
[typescript] [python] [rust] [go]
> frameworks_&_libs
[react] [next.js] [node.js] [fastapi]
> ai_&_infra
[pytorch] [docker] [kubernetes] [aws]
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