projects
Working systems, in various states of polish: research tooling, training infrastructure, and applied pipelines. Each exists because a research question needed it; several outgrew the question that spawned them.
Equine biomechanics pipeline →
A multi-stage pipeline turning ordinary riding video into gait classification, joint-angle analysis, and per-frame residual signals. Starts at markerless pose estimation, ends at expert-validated scoring.
Trainer corpus suite →
Video-to-corpus generation: scene detection, parallel signal extraction (pose, action, emotion recognition), VLM synthesis, and cross-validated annotation. The failure analysis here is what defined REVEAL's problem space.
vision_lab →
A React + FastAPI workbench for vision-language model interaction: multi-turn chat with prefix-cache-aware history, batch captioning with second-pass refinement, thinking-trace capture, and inline caption review.
github.com/aiaxmaior/vision_lab
Multimodal LoRA training harness →
A VLM fine-tuning harness for irregular hardware: asymmetric multi-GPU topology, memory-honest attention configuration, and the matched-control methodology used for attention-intervention studies.
github.com/aiaxmaior/lora-harness-showcase
AlphaZero-lite →
From-scratch AlphaZero-style chess engine: PUCT-guided MCTS with network-evaluated leaves and expert-iteration self-play on a single GPU, evaluated against Stockfish.
github.com/aiaxmaior/AlphaZero-lite
Edge perception systems →
The professional deployment record: real-time perception on Jetson-class devices, driver-safety simulation, and production recognition systems. Covered on the portfolio page.
Contact
For collaboration or correspondence: Arjun.Joshi@Agni.works