A

Aly Hansen

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New Jersey, United States

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Résumé

Jobs verified_user 0% verified
  • N
    Senior AI/ML Engineer
    Novumind
    Feb 2024 - Current (2 years 4 months)
    • Designed and deployed LLM-powered Generative AI systems serving 3M+ daily requests using GPT, Claude, Llama, and Mistral. • Developed agentic AI frameworks enabling autonomous multi-step workflows. • Built advanced Retrieval-Augmented Generation pipelines with LangChain and LlamaIndex to enhance semantic relevance. • Implemented multimodal AI solutions integrating text, images, and documents for enterprise automation. • Optimized inference latency using vLLM, TensorRT-LLM, Triton, batching, and quantization techniques. • Integrated vector databases including Pinecone, Weaviate, and FAISS for scalable semantic search. • Designed microservices-based AI architectures with FastAPI, Docker, and Kubernetes. • Established LLM observability using
  • T
    AI/ML Engineer
    Tempus AI
    Jan 2021 - Jan 2024 (3 years 1 month)
    • Built HIPAA- and SOC2-compliant AI platforms processing over 2M daily healthcare requests. • Fine-tuned LLMs using RLHF, LoRA, QLoRA, and PEFT for domain-specific NLP applications. • Developed agentic AI orchestration systems for autonomous decision-making to optimize task efficiency. • Implemented MLOps pipelines using MLflow, Kubeflow, and Argo for CI/CD and automated retraining. • Deployed high-performance models using Triton Inference Server and TorchServe. • Built clinical document intelligence systems using RAG, embeddings, and semantic search. • Improved model accuracy and reliability through rigorous evaluation frameworks and A/B testing. • Enabled explainable AI and compliance with healthcare regulations and ethical AI standards.
  • Feedzai
    ML Engineer
    Feedzai
    Jan 2018 - Dec 2020 (3 years)
    • Developed real-time ML pipelines for fraud detection, processing 1.5M+ transactions per day. • Built graph-based machine learning models for anomaly detection and credit risk assessment. • Designed NLP systems for text classification, entity recognition, and semantic search. • Engineered distributed data pipelines using Spark, Kafka, and Flink. • Deployed scalable ML services as RESTful APIs to streamline deployment processes. • Implemented explainable AI techniques to enhance transparency and regulatory compliance. • Automated monitoring and reporting workflows to enhance operational efficiency.
  • i
    Associate ML Engineer
    inVia Robotics
    Jul 2015 - Dec 2017 (2 years 6 months)
    • Built ML models for demand forecasting, route optimization, and inventory management. • Developed computer vision solutions using OpenCV and deep learning techniques. • Designed ETL pipelines with Spark, Airflow, and AWS for large-scale data processing. • Applied time-series forecasting models such as ARIMA and LSTM to improve efficiency. • Introduced automated ML workflows to minimize manual intervention. • Collaborated with robotics teams to integrate AI into warehouse automation systems.
Education verified_user 0% verified
  • University of the Punjab
    Bachelor of Science in Computer Science
    University of the Punjab
    Jan 2011 - Jan 2015 (4 years 1 month)