Asher Hamza

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Lead Machine Learning Engineer

Horizen Technologies

Jan 2022 - Current (4 years 7 months)

Designed and delivered enterprise AI applications using Python, FastAPI, serverless components, and event-driven architectures. Built agentic LLM workflows with LangGraph and Microsoft Agent Framework to automate document intelligence and decision flows. Integrated Microsoft Copilot into enterprise ecosystems to streamline information discovery and internal knowledge retrieval. Engineered vector database stacks (Pinecone, FAISS, Redis) supporting multimodal retrieval and advanced semantic reasoning. Developed secure Azure AI environments, including model serving pipelines, automated deployments, and centralized data access layers. Led cross-functional engineering teams, ensuring reliable, scalable, and cost-efficient production deployments.

Senior Machine Learning Engineer

Anduril Industries

Jul 2017 - Dec 2021 (4 years 6 months)

Built NLP engines for summarization, entity extraction, and sentiment analysis supporting enterprise knowledge management platforms. Developed high-throughput FastAPI inference systems capable of handling large-scale request volumes with consistent low latency. Implemented deep learning models for anomaly detection across enterprise IoT data pipelines to improve system reliability. Created automated retraining, monitoring, and evaluation pipelines for continuous improvement and stable performance.

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Data Scientist

Starsky Robotics

Aug 2015 - Jun 2017 (1 year 11 months)

Developed predictive models for customer churn and marketing ROI analysis to support major product and growth decisions. Performed large-scale feature engineering and EDA using SQL, Pandas, and NumPy. Built interactive executive dashboards using Plotly and Dash to surface insights for business leadership.

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Junior AI/ML Engineer

CoreStream Solutions

May 2014 - Jul 2015 (1 year 3 months)

Created model evaluation tools and A/B testing workflows to validate models before deployment. Built data visualization dashboards to support product and operational decision-making. Developed data preprocessing and feature engineering pipelines for multiple production ML workloads.

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