I'm an ML Researcher focused on computer vision, temporal modeling and agent infrastructure. I build research that ships.

Areas: Sample-Efficient HAR · Rare Disease Imaging · Hybrid CNN-Transformer · O(n) Tree Serialization · Agent Infrastructure

• HAR from Video - IEEE PICC 2025 - DOI 11291542 - ieee - 7 class HAR, 1,113 videos, CNN-LSTM 96.23% - Code: HAR-Sample-Efficient-Activity-Recognition
• HI-MobileNet - IEEE - DOI 11332605 - ieee - Harlequin Ichthyosis, MobileNetV2 99.96% - Code: H-CoAtNet-Ichthyosis-Models
• HAR-Sample-Efficient-Activity-Recognition - 7 class video HAR benchmark, Python, TensorFlow, PyTorch, 96.23% CNN-LSTM
• H-CoAtNet-Ichthyosis - Hierarchical hybrid CNN-Transformer for 5 ichthyosis subtypes on 1,580 images, Python, PyTorch, timm, conv stem plus transformer plus SE
• wave-coAtNet - Wavelet enhanced successor with cross attention and prototype selection, 13 model kappa, 5 fold CV
• H-CoAtNet-Ichthyosis-Classification - Training harness for WaveCoAtNet, 7 pretrained plus scratch baselines
• SPPS-Mac-Os-Code-Base - SPPS O(n) tree serialization on Apple M1 arm64, 8 blocks vs LOUDS, FlatBuffers, Protobuf, ESA 2026 Track E
• spps-linux-experiment-results - Cross platform validation on EPYC 7763 Ubuntu 24.04, 12006 of 12006 PASS
• spps-experiments - ESA 2026 submission on Ryzen 5 7235HS, bijective O(n)

• CONTINUUM - Verifiable semantic recovery for long running agents. 19 stars, 15 forks, Apache 2.0, Python 3.11. Semantic checkpoints not transcript dumps, hash chained log with 32 event types, MCP server with 10 tools deny by default. Verified on Claude Code Opus 4.8 with 7 of 7 mechanics and 1038 tests passing
• SNAGLINE - Lightweight zero dependency realtime failure detection. 4 stars, MIT, Python 3.10. O(1) per step about 1 microsecond, fail open, loops, cascades and CUSUM, median 1.9 microsecond per step over 200k steps

• kibo-v7- - Career orchestration platform, TypeScript, React 18, Vite, TanStack Query, PostgreSQL with Supabase Realtime sub 100ms CDC, Tailwind plus Shadcn plus Recharts for Garden graph and leaderboard, v5.0.0 MIT

• tensorflow - An Open Source ML Framework - 197,312 stars, 76,097 forks. My fork Cyrax321/tensorflow has 25 fixes
• fix-weighted-moments-tensor-axes - #122402 - Fix TypeError when axes is Tensor or ndarray. Normalize via constant_value and tolist. Add 3 tests
• fix-linalg-det-singular-gradient - #122823 - Fix singular crash. Use SVD det times A inverse H plus pinv instead of matrix_inverse
• fix-topk-grad-int64-dtype - branch - Fix hardcoded int32 offset. Use dynamic index_type for top_k
• fix-grappler-argmax-saturating-ops - #122826 - Fix wrong results for saturating ops in float32
• fix-igamma-domain-nan - #124927 - Fix a less equal 0 to not a greater than 0 for NaN handling

Portfolio: https://sx3svi1pkrbco9gt.vercel.app/ · LinkedIn: https://linkedin.com/in/anandhupshaji · Email: cyrax8590@gmail.com