systems engineer · toronto, ontario · tmU '28

Tahmid
Ehsan

// Backend & AI Systems Engineer

Building scalable backend systems, realtime AI inference pipelines, and production-ready infrastructure with a focus on reliability, observability, and measurable performance.

11ms
p99 preprocessing
image preprocessing pipeline
95%
data accuracy
automation workflow
60%
review reduction
rag document pipeline
10k+
data points
ocr + rag processing
profile.sh
Kyndryl
python developer intern · aws · backend automation
active
The Plug Co
ai & immersive systems engineer · tensorflow · pytorch
active
AWS SAA Certification
solutions architect associate · in progress
in progress
experience
6 since 2024
concurrent
2 active now
hours saved
12+ / month
onboard ↓
25% faster
backend automation distributed systems ai inference observability realtime processing cloud migration reliability engineering edge ai rag systems async architecture latency optimization system integration backend automation distributed systems ai inference observability realtime processing cloud migration reliability engineering edge ai rag systems async architecture latency optimization system integration