Selected Projects

ML systems projects spanning infrastructure, performance engineering, distributed training, search evaluation, and reproducible tooling.

01 · ML Infrastructure

Atlas AI

Distributed AI infrastructure platform for transformer systems, inference optimization, scaling analysis, observability, and performance engineering.

PythonTransformersDistributed SystemsPerformance
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02 · Robotics Data Systems

LeRobot State Atlas

Analyzes LeRobot datasets through URDF-based forward kinematics, dual-arm trajectory playback, and interactive 3D voxelized workspace-coverage visualization.

LeRobotRoboticsForward Kinematics3D VisualizationPythonNext.js
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03 · Performance Repair

Codex Benchmark Guardian

Evidence-backed performance repair system that detects benchmark regressions, creates bounded Codex repair goals, verifies fixes through protected benchmark evidence, and preserves human approval before merge.

PythonFastAPINext.jsTypeScript
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04 · Search Evaluation

SearchEval Lab

Search evaluation and regression-detection platform for benchmarking TF-IDF, BM25, and hybrid retrieval systems across relevance, latency, and query-level failure behaviour.

PythonInformation RetrievalBM25Hybrid Search
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05 · Performance Analysis

Distributed Training Profiler

Systems-oriented profiler for analyzing communication overhead, memory bottlenecks, scaling efficiency, and distributed training behavior in large-scale ML workloads.

PythonDistributed SystemsPerformanceMemory
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06 · Distributed Systems

Distributed Training Simulator

Distributed training simulator analyzing scaling efficiency, communication overhead, and system-level bottlenecks across data-parallel workloads.

PythonDistributed SystemsAll-ReducePerformance
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07 · Automatic Differentiation

Autograd Engine

Reverse-mode autodiff engine with dynamic computation graphs and topological backpropagation. Verified gradient correctness and analyzed trade-offs between memory usage, execution efficiency, and graph flexibility.

PythonAutogradBackpropagationPerformance
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08 · Reproducibility

ML Reproducibility Auditor

CLI-based ML reproducibility auditor that evaluates repositories for engineering quality, system design patterns, and reproducibility signals using GitHub API analysis.

PythonCLIReproducibilityML Systems
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