Open to opportunities

Avery Ahmad

@averyahmad

Message

Lead Machine Learning Engineer driving production ML/AI systems and scalable NLP solutions.

United States

Message

What I'm looking for

I seek senior ML/AI roles where I can build cloud-native MLOps platforms, lead cross-functional teams, and deliver scalable NLP and real-time inference solutions.

I am a Lead Machine Learning Engineer with 12+ years building and scaling production ML/AI systems, specializing in LLMs/NLP, real-time inference, and MLOps. I have designed transformer-based NLP and recommendation systems serving millions of daily queries, reduced training time with distributed multi-GPU pipelines, and deployed sub-30ms inference pipelines using Triton to power instant decisioning.

I architect robust cloud-native AI platforms including feature stores and model registries, implemented monitoring and observability, and automated CI/CD for continuous model improvement. I partner with product and data teams to deliver measurable business impact, mentor engineers to raise technical depth, and consistently translate complex models into production-ready solutions.

Experience

Work history, roles, and key accomplishments

Current

Lead Machine Learning Engineer

Current

Togal.AI

Jan 2022 - Present (3 years 8 months)

Designed and deployed transformer-based NLP and recommendation systems serving millions of queries daily, cut training time with distributed multi-GPU pipelines, and built sub-30ms real-time NLP inference for in-vehicle decisioning.

Transformers PyTorch Triton Inference Server MLOps Kubernetes Distributed Training Model Registry

Senior Machine Learning Engineer

DataRobot

Jun 2019 - Dec 2021 (2 years 6 months)

Designed anomaly detection and zero-shot NLP classification systems, built real-time inference pipelines with Kafka/FastAPI/Redis, and automated retraining workflows to ensure continuous model improvement and optimized inference performance.

Anomaly Detection Zero Shot NLP Kafka fastAPI Redis Airflow Onnx TorchServe CI CD

AI/ML Engineer

EPICA

Jan 2017 - May 2019 (2 years 4 months)

Built enterprise AI/ML models for blockchain audit and asset tokenization, developed production prediction pipelines with PyTorch and scikit-learn, and implemented Kafka-based streaming inference with Grafana monitoring.

PyTorch scikit learn Kafka Streaming Inference Hyperledger Fabric Grafana Monitoring Data Pipelines

Data Scientist

Levatas

Jun 2013 - Dec 2016 (3 years 6 months)

Developed CLTV and churn models using LightGBM with Bayesian optimization, built AutoML pipelines and optimized feature extraction for scalable data processing, and integrated ML microservices into a Django backend.