Open to opportunities

Alex Aman

@alexaman1

Message

I am a Senior Machine Learning Engineer and MLOps architect driving production-grade AI solutions.

United States

Message

What I'm looking for

I seek senior roles building production-grade, cloud-native AI and MLOps systems, leading cross-functional teams to deliver scalable, explainable ML solutions in collaborative, growth-focused organizations.

I am a Senior Machine Learning Engineer and Cloud-Native MLOps Architect with 12+ years building and deploying AI at scale. I design end-to-end ML pipelines, production APIs, and cloud-native architectures across AWS, GCP, and Azure.

I have led development of Transformer and LLM-based NLP solutions using Hugging Face, BERT, and RoBERTa, and I deploy models with FastAPI, Docker, and serverless services. I implemented real-time inference monitoring (Grafana, Prometheus) and automated retraining pipelines using MLflow and GitHub Actions to maintain model health and reproducibility.

My background spans deep learning, computer vision, semantic search, and generative approaches, and I have driven measurable improvements such as a 20% model performance gain through hyperparameter tuning and ensemble methods. I partner closely with product and engineering teams to integrate ML outputs into backend systems and SaaS platforms.

I hold AWS, Google TensorFlow, and Azure AI certifications and I prioritize explainable AI, model governance, and mentoring MLOps teams. I am focused on delivering scalable, compliant, and business-impacting AI solutions that accelerate decision-making and product value.

Experience

Work history, roles, and key accomplishments

Current

Senior Machine Learning Engineer

Current

ZS Associates

Jan 2024 - Present (1 year 7 months)

Designed and deployed LLM and Transformer-based NLP models (Hugging Face, BERT, RoBERTa) and built cloud-native ML APIs containerized with Docker and deployed to AWS Lambda. Implemented real-time inference monitoring with Grafana and Prometheus and automated model retraining pipelines with MLflow and GitHub Actions.

Python Hugging Face BERT fastAPI Docker AWS Lambda MLFlow GitHub Actions)Prometheus Grafana

Machine Learning Engineer - AI Platform

Experis

Jan 2021 - Dec 2023 (2 years 11 months)

Architected and deployed MLOps pipelines with Kubeflow, MLflow, and Kubernetes, automating CI/CD for models using GitHub Actions and Jenkins. Developed recommendation systems and optimized cloud ML workloads on AWS SageMaker while implementing XAI for model transparency.

Kubernetes GitHub Actions)Jenkins AWS Sagemaker Recommendation Systems Python Kubeflow MLFlow

Senior Data Scientist - Applied AI

Cognizant Technology Solutions

Jan 2019 - Dec 2020 (1 year 11 months)

Developed ML algorithms for NLP tasks (text classification, sentiment analysis, NER) using TensorFlow and PyTorch and applied transfer learning on BERT and GPT. Enhanced data quality with ETL pipelines (Airflow, Pandas, SQL) and delivered dashboards and A/B testing insights for product optimization.

TensorFlow PyTorch NLP BERT Transfer Learning Airflow SQL Tableau Power BI

ML Engineer - Predictive Analytics

Insight Global

Jan 2013 - Dec 2018 (5 years 11 months)

Designed and implemented supervised and unsupervised ML models and built scalable data pipelines with SQL, Spark, and Hadoop. Automated feature engineering and model selection, integrated models into production with Flask and Docker, and improved model performance by 20% through tuning and ensemble methods.