🎓 Adaptive AI study agent with POMDP belief state — OPEAA loop, Q-learning + LinUCB bandit policies, SM-2 spaced repetition, concept DAG. Streamlit web app + Chrome extension (MV3). Claude & free HF backends.
NeuroUnfold: Physics-informed deep learning for chirp unfolding in cross-technology wireless sensing. Recovers 406 kHz LoRa beat chirps from 77 kHz aliased BLE RSSI via branch disambiguation, enabling BLE-only respiration sensing.
SWE-bench for your codebase — mine your merged PRs into local, contamination-free coding-agent benchmarks. Adapters: claude-code, aider (Opus 4.7 / GPT-5.5 / Sonnet 4.6 / Gemini 3.1 Pro).
Full-stack agentic web app: LangChain LLM agent + MCP server wrapping a public REST API. Built with Claude Code.
Real-time hand gesture recognition via a Dual-Stream Spatiotemporal Transformer (DSST) on MediaPipe skeletons. Decouples static pose and motion velocity into two Transformer streams with late fusion. Sim-to-Real training: synthetic pretraining (1,200 sequences) + fine-tuning on 35 real clips across 6 gestures. ~557 FPS on a laptop GPU.
High-speed BLE RSSI sampling on nRF54L15 (~77 kHz, 3× prior published rates) for wireless sensing applications. Custom Zephyr firmware that bypasses BLE protocol processing for raw energy detection at the radio level.
End-to-end super-resolution pipeline recovering wideband LoRa channel responses from narrowband BLE RSSI via progressive sub-pixel convolution and physics-informed loss
Build resilient agents.
SGLang is a high-performance serving framework for large language models and multimodal models.
AI Agent to follow NASDAQ trend and generate TQQQ trading signals
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Gemma open-weight LLM library, from Google DeepMind
A programming framework for agentic AI
The agent that grows with you
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Integrations between MongoDB, Atlas, LangChain, and LangGraph
Build LangChain Applications on AWS
vLLM’s reference system for K8S-native cluster-wide deployment with community-driven performance optimization
LangChain abstractions backed by Postgres Backend