# 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
prism
open_in_newA high-throughput vector database wrapper designed for ultra-low latency semantic search in constrained environments.
[rust]
[grpc]
[faiss]
neural_net_viz
open_in_newReal-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]
root@server:~/resume$