engblogs

An exploration of securing maritime cyber-physical systems through AI-driven threat modeling, physics-based vessel forecasting, and cross-sector policy collaboration.

An analysis of the text-speech understanding gap in LLMs, presenting SALAD (Sample-efficient Alignment with Learning through Active selection and cross-modal Distillation) as a data-efficient cross-modal distillation approach to improve alignment between speech and text in 3B/7B LLMs, with implications for multimodal decoding and streaming TTS as seen in Visatronic and SpeakStream.

Explores how to productionize AI-powered data pipelines with Databricks Lakeflow and Agent Bricks, integrating AI functions into ETL, orchestration, and scalable analytics.

depyf demystifies the PyTorch 2.x compiler by decompiling bytecode back into source code and exposing in-memory objects to on-disk sources for line-by-line debugging with a lightweight two-context-manager workflow.

An examination of Arvind KC's appointment as Chief People Officer and its implications for HR technology adoption, people analytics, and data-driven talent strategy.

RCCLX is the open-source AMD-optimized RCCL backend integrated with Torchcomms, introducing Direct Data Access (DDA) and Low-Precision Collectives to accelerate AI training and inference on AMD GPUs, with CTran integration enabling GPU-resident AllToAllvDynamic.

A one-week, AI-assisted reimplementation of Next.js as vinext on Vite, deploying to Cloudflare Workers with faster builds and smaller client bundles.

Explores AMUSE, a multimodal audio-visual benchmark for agentic multi-speaker understanding, and RAFT, a data-efficient alignment framework that enhances agentic reasoning via reward-based optimization and intrinsic self-evaluation in multimodal models.

A concise technical review of how Airbnb's engineering innovations intersect with academic publications to define the 2025 year-in-review in tech.

Build a scalable, serverless photo-search system that combines Amazon Rekognition for face and object detection, Amazon Neptune for relationship graphs, and Amazon Bedrock for contextual captioning to enable natural-language, semantic search across large image collections.

A technical overview of Piqama, an ecosystem for Pinterest quota management.

A concise deep-dive into reverse-engineering a handcrafted neural network puzzle using mechanistic interpretability and constraint solving (linear/integer programming and SAT) to expose an MD5-like computation encoded in its layers.