Rohith Jangam
Engineering intelligence through scalable MLOps and production-grade deep learning systems.
“The important thing is not to stop questioning. Curiosity has its own reason for existing.”
— Albert EinsteinROHITH. J
Systems & Logic
Specializing in the development of high-availability ML systems where research meets production-grade reliability and architectural integrity.
Technical Stack
Deep Learning
MLOps Infrastructure
I architect production-ready environments for complex neural architectures. By focusing on computational efficiency and automated observability, I transform experimental models into scalable, low-latency business solutions.
Advanced Neural networks
Crafting custom CNNs and Transformers optimized for high-throughput environments.
Model Orchestration
Building robust CI/CD pipelines with automated drift detection and deployments.
Career Evolution
Machine Learning Engineer
Xenlogice Technologies Pvt. Ltd.
Architecting high-availability predictive ecosystems within AWS native environments. Focusing on financial risk and demand forecasting.
MSc Computer & Information Science
Northumbria University London
Multidisciplinary focus on the lifecycle of intelligent systems—from theoretical research to global-scale architecture.
Ready to Collaborate?
Initiate a connection to discuss Neural Architectures, MLOps, or deployment strategies. Or just want to say Hi :) .