I

Irfan Aven

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New Jersey, United States

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Jobs verified_user 0% verified
  • 1Kosmos
    Lead Machine Learning Engineer
    1Kosmos
    Apr 2024 - Current (2 years 4 months)
    Designed and deployed an NLP driven document intelligence platform, reducing manual processing. Integrated BERT/ROBERTA models with FastAPI, Docker, and AWS Lambda to serve real time inference at scale. Built MLOps pipelines with MLflow and Kubernetes, reducing deployment time and ensuring CI/CD compliance. Created batch and streaming inference workflows for hybrid cloud environments (AWS + an-prem). Partnered with DevOps and data engineering teams to establish a robust, production grade deployment architecture. Developed model monitoring dashboards using Prometheus and Grafana to track latency, drift, and performance in real time. Reduced cloud infrastructure cost through optimized model packaging and resource auto scaling.
  • UiPath
    Senior Machine Learning Engineer
    UiPath
    Feb 2021 - Mar 2024 (3 years 2 months)
    Developed real time object detection and classification pipelines using CNNs and YOLOV5, embedded into RPA workflows. Reduced QA related product defects through automation of visual inspections in enterprise processes. Designed reusable ML components in Kubeflow and TensorFlow Extended (TFX) to support scalable deployment of automation models. Enhanced OCR and document parsing using Hugging Face Transformers, improving information extraction accuracy. Collaborated with product and customer engineering teams to align ML capabilities with robotic automation strategies. Authored deployment templates for internal R&D teams, standardizing AI model integration across UiPath Studio. Mentored junior engineers and contributed to AI product roadmap a
  • I
    AI/ML Engineer
    Infocenter LLC
    Dec 2018 - Jan 2021 (2 years 2 months)
    Developed and deployed enterprise grade NLP and forecasting models using Azure ML and Azure Kubernetes Service. Delivered BERT based classification systems that reduced processing latency across internal services. Built CI/CD pipelines using Azure DevOps, Docker, and MLflow to ensure consistent and versioned deployments. Created scalable data pipelines using Spark and Azure Data Factory to support model training and evaluation. Integrated real time recommendations into Azure based products, improving engagement KPIs. Implemented drift detection, auto retraining, and monitoring triggers using Prometheus and Azure Monitor. Contributed to internal ML platform enhancements and served as AI advisor on key cloud migration projects.
  • Zillow
    Data Scientist
    Zillow
    Jul 2013 - Nov 2018 (5 years 5 months)
    Built time series models (ARIMA, Prophet) to forecast maintenance schedules and housing market trends. Automated ETL workflows using Python and SQL, improving pipeline throughput. Developed Tableau dashboards for senior executives to support data driven decision making. Conducted EDA and built predictive models on user engagement and pricing datasets, improving forecast accuracy. Collaborated with product teams to integrate machine learning outputs into consumer facing features (e.g., Zestimate). Promoted from Junior to Data Scientist after leading successful end to end deployment of pricing prediction tools. Delivered technical documentation, reproducible notebooks, and scalable code for team wide reuse.
Education verified_user 0% verified
  • Urbana University
    Bachelor of Science in Computer Science
    Urbana University