Open to opportunities

Hammi Baloch

@hammibaloch

Message

AI Solution Architect delivering enterprise GenAI and ML with scalable MLOps.

United States

Message

What I'm looking for

I’m looking to lead enterprise AI programs where I can architect end-to-end ML and MLOps, drive Generative AI adoption, and mentor teams—turning complex models into scalable, monitored solutions aligned to business strategy.

I’m an AI & Machine Learning professional with 10+ years of progressive expertise—from Junior ML Engineer to AI Solution Architect. I design and deploy end-to-end ML pipelines, from data ingestion through production optimization, translating complex AI into measurable business impact.

I’m skilled in deep learning across NLP, computer vision, reinforcement learning, and generative AI, with a strong focus on MLOps and cloud-native delivery. I architect MLOps pipelines with CI/CD, monitoring, and automated retraining, enabling reliable enterprise adoption of AI.

In my recent role, I led Generative AI adoption for customer engagement and built scalable recommendation engines and predictive analytics for fintech and healthcare clients. I mentor teams of data scientists and engineers, partner with executives on AI adoption roadmaps, and previously developed NLP chatbot and sentiment solutions, fraud detection and surveillance compute-vision systems, and production ML APIs.

Experience

Work history, roles, and key accomplishments

Current

AI Solution Architect

Current

Skylytics Data, LLC

Jan 2022 - Present (4 years 7 months)

Designed and deployed enterprise AI/ML solutions using AWS SageMaker and GCP Vertex AI. Architected MLOps pipelines with CI/CD, monitoring, and automated retraining, and led generative AI adoption for customer engagement.

AWS Sagemaker Vertex AI MLOps CI CD Model Monitoring Generative AI Recommendation Systems Predictive Analytics Roadmapping Stakeholder Management

Senior Machine Learning Engineer

dbt Labs

Oct 2018 - Dec 2021 (3 years 2 months)

Developed NLP-based models for chatbots, sentiment analysis, and document classification. Optimized deep learning models (CNNs, Transformers) and built data pipelines integrating Spark, Kafka, and Snowflake, including deployment of computer-vision ML APIs.

NLP Chatbot Sentiment Analysis Document Classification CNN Transformers Spark Kafka Snowflake Computer Vision Fraud Detection Surveillance Optimization Data Pipelines

Machine Learning Engineer

Salient Imaging

Jan 2017 - Sep 2018 (1 year 8 months)

Built supervised and unsupervised ML models for customer churn prediction and anomaly detection. Deployed models to production using Flask and Docker with continuous integration, and performed feature engineering and preprocessing on structured and unstructured datasets.

Churn Modeling Anomaly Detection XGBoost Flask Docker Continuous Integration Feature Engineering data preprocessing Unstructured Data Knowledge Sharing

Junior ML Engineer

iCAD

Oct 2015 - Dec 2016 (1 year 2 months)

Assisted with data collection, preprocessing, and feature engineering for ML projects under senior mentorship. Developed regression and classification models with cross-validation support and contributed to prototype computer-vision projects using OpenCV, including support for deploying ML APIs.