Meghana Reddy
Senior Machine Learning Engineer
Senior ML engineer — models in production, from data pipeline to p99 latency
About
I take models out of notebooks and into production that stays fast, cheap and accurate. Five years across e-commerce and fintech, currently running a recommendation system for 9M users at 4,000 requests/second — and building the MLOps backbone so the next model ships in days, not weeks.
9M
Users served by ML in prod
+22%
Click-through on recommendations
80ms
p99 inference latency
Selected work
+22% CTR
Recommendation Engine
PyTorch two-tower model for 9M users.
PyTorchSageMakerTriton
₹40L/yr saved
Support Triage LLM
Fine-tuned transformer auto-routing 68% of tickets.
LLMsNLP
−31% fraud loss
Fraud Detection
XGBoost scoring on 12M transactions.
scikit-learnGCP
3D Portfolio
This WebGL site, built on Eliorexa.
three.jsReact
Skills & tools
Python
PyTorch
TensorFlow
scikit-learn
LLMs
MLOps
Airflow
SageMaker
Vertex AI
Kubernetes
Let's build something
Meghana is open to the right opportunity. Reach out — or grab the résumé.