Data Science / Artificial Intelligence / Full-Stack Engineering
I work at Socket helping developers use open source software and stay secure.
JavaScript / TypeScript deserves a numerical computing ecosystem like Python has with NumPy and SciPy. We are building it with stdlib.
Before, I created ISLE at Carnegie Mellon University, an interactive educational platform for statistics and data science.
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Test patterns, visualize matches, and learn regex with explanations and safety hints.
Sort, filter, transform, and export text with regex, columns, and hotkeys.
Convert between JSON, CSV, Properties, and Markdown tables with validation hints.
Compute cryptographic digests, compare inputs, and verify hashes with byte range support.
Explore how floating-point numbers are represented in binary format according to IEEE 754.
Chain byte-level transformations for deobfuscation, decoding, and encoding conversion.
Assemble CRON schedules with guided inputs, presets, and copy-to-clipboard support.
Decode, inspect, and extract nested base64 content with file signature detection.
Parse, decode, and investigate URLs, IPs, data URIs, and network indicators.
Inspect DNS records, email auth policies, and TXT verification tokens with hierarchy hints.
Decode, validate, and experiment with JWTs, including claim timestamps and signature checks.
Decode QR/2D barcodes, inspect payloads, flag suspicious URLs, and generate test codes.