I

Ivan Gerardo

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Zumpango, State of Mexico, Mexico

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Résumé

Jobs verified_user 0% verified
  • SparkCognition
    Senior AI/ML Engineer
    SparkCognition
    Jul 2023 - Current (3 years 1 month)
    • Built and trained adversarial-resilient detection models using PyTorch Lightning on AWS SageMaker, leveraging advanced augmentation, large-scale distributed training, and automated model-drift monitoring via W&B. • Engineered a multi-modal deepfake verification pipeline that fuses Vision Transformers (ViT), Wav2Vec2, and CLIP embeddings to deliver synchronized face-voice authentication with industry-leading accuracy. • Delivered real-time detection at 35 FPS by integrating OpenCV, FFmpeg, and TensorRT for GPU-accelerated feature extraction and optimized inference. • Designed a hybrid ensemble classifier (CNN + Transformer fusion) that achieved 97.9% accuracy on in-the-wild deepfake datasets, outperforming baseline and academic benchmarks.
  • Thought Machine
    AI/ML Ops Engineer
    Thought Machine
    Oct 2020 - Jun 2023 (2 years 9 months)
    • Designed and implemented cloud-native ML pipelines for AI-driven banking and payment systems, leveraging multi-cloud infrastructure (AWS, GCP, Azure) to ensure scalability, security, and full regulatory compliance. • Developed and deployed real-time predictive models for fraud detection, transaction risk scoring, and customer personalization using Python, PyTorch, scikit-learn, XGBoost, LSTM/RNNs, and Hugging Face Transformers. • Built API-first microservices with FastAPI, gRPC, and Node.js, delivering ML predictions seamlessly to core banking platforms, frontend applications, and third-party integrations. • Automated model training, deployment, and monitoring through CI/CD pipelines powered by GitHub Actions, Terraform, Docker, Kubernete
  • BigCommerce
    Full Stack Engineer
    BigCommerce
    Mar 2017 - Sep 2020 (3 years 7 months)
    • Built and optimized ETL workflows using C# and T-SQL, consolidating large-scale e-commerce datasets into structured data models that powered business intelligence, predictive analytics, and revenue insights across multiple platforms. • Developed custom reporting modules and APIs to automate recurring data extraction, visualization, and reporting processes, significantly improving operational efficiency for both internal teams and client-facing applications. • Collaborated with product and engineering teams to integrate data analytics and machine learning models into the core SaaS platform, enabling merchants to monitor revenue, conversions, and customer behavior in real time. • Developed custom reporting tools and RESTful APIs using FastA
Education verified_user 0% verified
  • University of Chester
    B.S. in Computer Science
    University of Chester
    Jan 2014 - Jan 2017 (3 years 1 month)