Joshua Arvin Lat
where else to find them
what they talk about
all 12 in the filters
where they keep going back
- Conf42 DevSecOps3 editions2022–2024
- Conf42 Python2 editions2021–2024
- Conf42 Machine Learning2 editions2021–2022
all 12 in the filters
on a stage with
all 26 in the filters
who talks about the same things
- Alejandro Saucedo33 talks
- Katharine Jarmul25 talks
- Panel Discussion5 talks
- Tess Ferrandez-Norlander24 talks
- Anthony Shaw19 talks
- Dat Tran9 talks
| title | conference | date |
|---|---|---|
| Breaking Down Silos | Conf42 DevSecOps 2024 | 2024-12-05 |
Claims clear and actionable: a coffee shop with CCTV maps continuous monitoring to CI/CD, the pipeline automates build test secure deploy and catches… | ||
| Premiere - Conf42 Python 2024 | Conf42 Python 2024 | 2024-02-29 |
Personalizing images talk shows a concrete toolchain and a live demo that extracts per-image metadata to automate moderation and resizing; RAG session walks… | ||
| Retrieval Augmented Generation for AI Apps | Conf42 Python 2024 | 2024-02-29 |
Claims that a basic generative AI app can be live in 24 hours if using a self‑hosted LLM, but a full RAG pipeline takes longer. Implementation uses Amazon… | ||
| Securing AI applications by building our own LLM Vulnerability Scanner in Python | PyCon Philippines 2024 | 2024-02-25 |
Securing AI applications by building our own LLM Vulnerability Scanner in Python by Joshua Arvin Lat and Sophia Soliven
We invite you to join us in… | ||
| Beyond the Basics: Hacking and Securing Machine Learning Systems and Environments | XtremePython 2023 | 2023-12-05 |
Shows that loading untrusted model files can run code and deliver a reverse shell by embedding a pickle payload that triggers on load (examples use torch.load… | ||
| Infrastructure as Code Security Best Practices & Strats | Conf42 DevSecOps 2023 | 2023-11-30 |
Covers concrete IaC practices: use terraform or similar, enforce IAM role with admin avoidance and fine-grained tags, store secrets outside code, and keep… | ||
| Beyond the Basics: Securing JavaScript Applications | XtremeJS 2023 | 2023-11-21 |
Shows a working eval-based injection where user input creates a file then spawns a reverse shell, demonstrating how a single vulnerable JS handler can lead to… | ||
| Beyond the Basics: Securing JS Applications | Conf42 JavaScript 2023 | 2023-11-16 |
Code lets an attacker turn an innocuous math evaluator into a remote backdoor that writes a hello.txt then spawns a reverse shell to the attacker IP, enabling… | ||
| Pragmatic Security Automation and DevSecOps in the Cloud | Conf42 DevSecOps 2022 | 2022-12-01 |
Shows concrete risks and fixes: AWS examples (EKS + EC2 with Cloud9 in a public subnet), serverless flaws (Lambda + API Gateway vulnerable to code injection… | ||
| Building Machine Learning-powered Applications with JS | Conf42 JavaScript 2022 | 2022-11-17 |
Claims that production ML apps run end-to-end in JavaScript, showing browser and on-device inference with TensorFlow.js and ONNX Runtime for Web, and cloud… | ||
| Building & Managing MLOps Pipelines in the Cloud | Global SRE Virtual Conference 2022 | 2022-07-25 |
Describes building cloud MLOps that automatically run parallel training jobs (example: 40 fifteen‑minute jobs run concurrently instead of sequentially)… | ||
| Premiere | Conf42 Machine Learning 2022 | 2022-05-19 |
Conference opens with the claim that machine learning won’t put anyone out of a job but will change how work gets done and then moves into concrete tools and… | ||
| Hacking and Securing ML Systems and Environments | Conf42 Machine Learning 2022 | 2022-05-19 |
Shows how a malicious prebuilt model or container can open a port (example: port 4000) or drop a miner, letting an attacker pivot from a public notebook… | ||
| Scale By the Bay 2021 intro video by Joshua Arvin Lat | Scale By the Bay 2021 | 2021-10-28 |
Short intro that promises concrete operational patterns for scaling ML: practical recipes from the Amazon SageMaker Cookbook, hands-on use of Amazon SageMaker… | ||
| Lat Designing and Building Complex Machine Learning.... | Scale By the Bay 2021 | 2021-10-28 |
Shows a concrete stack: SageMaker Debugger rules trigger SNS alerts when training loss stalls, automated hyperparameter tuning runs many parallel jobs (and can… | ||
| Pragmatic SRE for Kubernetes in the Cloud | Conf42 Site Reliability Engineering 2021 | 2021-09-30 |
Pragmatic checklist of actions and costs: adopt SageMaker operators for Kubernetes to offload ML workloads, use EKS + App Mesh + X‑Ray + CloudWatch for… | ||
| Pragmatic Machine Learning in the Cloud | Conf42 Machine Learning 2021 | 2021-07-29 |
Shows concrete patterns and working code to run ML on AWS SageMaker: built-in algorithms (about 17 algorithms), dataset processing, Debugger snapshots to S3… | ||
| Designing and Building Complex Machine Learning Projects | Craft Conference 2021 | 2021-06-02 |
Practical recipe for production ML: use SageMaker to spin up training and inference with a few SDK lines, run automated hyperparameter tuning on transient GPU… | ||
| Machine Learning Engineering Done Right | Conf42 Python 2021 | 2021-05-27 |
Ten concrete recommendations cover design, coding and ops: use SageMaker and SageMaker Clarify for bias detection and SHAP explainability, prefer frameworks… | ||
| Practical Deployment Strategies for Production Python Apps | Pycon PH 2017 | 2017-02-25 |
Describes concrete lessons: a payment front end is built without any database to cut cost, a live site fails under ~10,000 concurrent users, and months are… | ||
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