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ayanalamMOON/README.md
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About

Coding Animation

I’m a B.Tech Data Science student building systems at the intersection of AI/ML, systems engineering, and developer tooling. My current work spans hardware-aware neural architecture search, agentic WebGPU/WGSL shader generation and profiling with Shader Alchemist, developer-memory infrastructure with Cortexta, and backend systems with Go and Rust. I’m especially interested in compiler and language design, GPU computing, algorithmic optimization, and turning research ideas into reliable, measurable software.

Contact: mdayanalam12a@gmail.com



Tech Stack & Tools

Tech Stack
AI/ML Tools

GitHub Analytics

GitHub profile overview and contribution metrics Contribution streaks and calendar
GitHub contribution activity over time
📊 More Detailed Stats
Programming language breakdown across public repositories

Project Portfolio

Selected Projects

  • Shader Alchemist — An agentic engineering workflow for WebGPU/WGSL shader synthesis, validation, GPU profiling, and iterative optimization.
  • NeuroSwarm AutoML — Hardware-aware neural architecture search that co-evolves model topology and hyperparameters under latency and FLOP constraints.
  • Helios — A Go backend framework focused on durable storage, authentication, authorization, rate limiting, background jobs, and reverse-proxy capabilities.
  • Cortexta — A local-first developer-memory runtime with semantic retrieval and context management for coding workflows.
  • Nagari — A Rust-based language project exploring a Python-like authoring experience and JavaScript ecosystem interoperability.

Architecture Gallery

These high-level diagrams are generated from the portfolio manifest and refreshed automatically.

The gallery prefers Mermaid diagrams documented in each project's README. If a README has no Mermaid diagram, it uses the corresponding high-level flow from the profile portfolio manifest.

Shader Alchemist · repository

Agentic WebGPU/WGSL shader synthesis, validation, GPU profiling, and iterative refinement.

Source README diagram

flowchart LR
    U[User request] --> S[ADK session state]
    S --> MA[Math Architect agent]
    MA -->|MathSpec| SEQ[ADK sequential pipeline]
    SEQ --> WW[WGSL Writer agent]
    WW -->|ShaderArtifact| PE[Performance Evaluator agent]
    PE -->|EvalReport + feedback| LOOP{ADK loop block}
    LOOP -->|Refine within budget| WW
    LOOP -->|Pass or terminate| OUT[Artifact assembler]
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NeuroSwarm AutoML · repository

Hardware-aware bi-level co-evolution of network topology and continuous hyperparameters.

Source README diagram

flowchart TD
    A["NeuroSwarm<br/>Co-Evolution Loop"]
    B["Upper-Level Evolution<br/><b>Genetic Algorithm (GA)</b><br/><br/>• Discrete DAG topologies<br/>• Subgraph crossover<br/>• Edge toggling<br/>• Operation mutation<br/>• Cycle-prevention checks"]
    C["Lower-Level Evolution<br/><b>PSO-DE</b><br/><br/>• Continuous hyperparameters<br/>• Particle velocity updates<br/>• Differential Evolution<br/>• Bounds clipping"]
    D["Gaussian Process Surrogate<br/><b>+ UCB Acquisition</b><br/><br/>• Predicts performance: μ, σ<br/>• Filters expensive evaluations<br/>• UCB(x) = μ(x) + κ · σ(x)"]
    E["Distributed Ground-Truth Training<br/><b>Ray / Multiprocessing + CUDA</b><br/><br/>• Multi-GPU process allocation<br/>• Pinned / non-blocking CUDA transfers<br/>• Automatic Mixed Precision (AMP)<br/>• CosineAnnealingWarmRestarts"]
    F["Hardware-Aware Fitness Evaluation<br/><br/><b>F<sub>constrained</sub> = Accuracy − α·max(0, Latency − τ<sub>latency</sub>) − β·max(0, FLOPs − τ<sub>flops</sub>)</b>"]
    G["Next Co-Evolution Iteration<br/><br/>Fitness feedback → GA + PSO-DE → Surrogate → Training → Hardware Evaluation"]

    A --> B --> C --> D --> E --> F --> G
    G --> B
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Helios · repository

Go backend framework with ATLAS storage, Raft replication, gateway controls, jobs, proxying, and observability.

Manifest fallback diagram

flowchart LR
  N0["Client and reverse proxy"]
  N1["Gateway: authentication, RBAC, rate limits"]
  N2["Services and job workers"]
  N3["ATLAS durable KV store"]
  N4["Raft replication"]
  N5["Metrics, logs, and traces"]
  N0 -->|request| N1
  N1 -->|authorized request| N2
  N2 -->|data operations| N3
  N3 -->|replicated state| N4
  N2 -->|telemetry| N5
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Cortexta · repository

Local-first developer memory with ingestion, hybrid retrieval, temporal context, and agent-facing interfaces.

Source README diagram

flowchart LR
  CLI[Primary CLI]
  MCP[MCP stdio server]
  DAEMON[Daemon HTTP and WS]
  CXLINK[CX-LINK routes]
  MEM[Mempalace]
  SQLITE[(SQLite)]
  VECTOR[(Vector provider)]
  GRAPH[(Graph index)]

  CLI --> DAEMON
  MCP --> DAEMON
  DAEMON --> CXLINK
  CXLINK --> MEM
  MEM --> SQLITE
  MEM --> VECTOR
  MEM --> GRAPH
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Nagari · repository

Rust-based language and toolchain exploring Python-inspired syntax with JavaScript ecosystem interoperability.

Manifest fallback diagram

flowchart LR
  N0[".nag source"]
  N1["Rust lexer and parser"]
  N2["AST and semantic analysis"]
  N3["JavaScript code generation"]
  N4["Runtime and JS ecosystem"]
  N0 -->|source text| N1
  N1 -->|tokens and AST| N2
  N2 -->|validated program| N3
  N3 -->|generated JavaScript| N4
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Aletheia · repository

Document perception pipeline that turns PDFs, scans, and images into structured agent-consumable information.

Manifest fallback diagram

flowchart LR
  N0["PDF, image, or scan"]
  N1["Ingestion and preprocessing"]
  N2["Layout analysis and OCR"]
  N3["Table extraction and post-processing"]
  N4["Structured agent-ready output"]
  N0 -->|load| N1
  N1 -->|normalized input| N2
  N2 -->|regions and text| N3
  N3 -->|validated document model| N4
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Engineering Notebook

An automatically refreshed index of recent default-branch engineering activity. Entries link to source commits; the feed does not invent experiment results or performance claims. Use the experiment write-up template for reproducible investigations.

Automatically indexed from the configured repositories' default branches, covering the last 60 days.

Labels are inferred from commit subjects and are navigation hints only. This feed does not claim that a benchmark, experiment, or correctness result passed.

Verified Project Health

Latest default-branch checks, release metadata, and declared licenses for the selected public repositories. Projects without configured checks are labelled accordingly rather than being marked as passing.

Project Latest commit checks License Latest release Last push (UTC)
Shader Alchemist Passing Apache-2.0 v0.1.0 2026-10-09
NeuroSwarm AutoML Passing MIT v0.2.0 2026-09-21
Helios No checks reported MIT v0.1.0 2026-09-21
Cortexta Passing MIT v0.1.3 2026-08-11
Nagari Passing MIT None published 2025-11-01
Aletheia No checks reported MIT None published 2026-01-28

Checks apply to the latest commit on each default branch. “No checks reported” means GitHub returned no check runs or commit statuses for that commit; it is not a passing result. Release and license values come from repository metadata.

Recently Updated Repositories

Recently Updated Projects:

  • Shader-Alchemist — Agentic WebGPU/WGSL shader synthesis, validation, GPU profiling, and iterative optimization.

    Python · Updated 3 days ago · WebGPU · WGSL · GPU Computing

  • NeuroswarmAutoml — Hardware-aware neural architecture search that co-evolves network topologies and hyperparameters under latency and FLOP constraints.

    Python · Updated 3 weeks ago · AutoML · Neural Architecture Search

  • Helios — Go backend framework with durable storage, authentication, RBAC, rate limiting, background jobs, and reverse-proxy capabilities.

    Go · Updated 3 weeks ago · Go · Backend Systems

  • aletheia — Document perception for AI coding agents, including OCR, layout analysis, and table extraction.

    Python · Updated 1 month ago · Document AI · Developer Tools

  • polyglot-app — Description not provided yet.

    HTML · Updated 2 months ago

  • Cortexta — Local-first developer-memory runtime with semantic retrieval and context management for coding workflows.

    TypeScript · Updated 2 months ago · Developer Tools · Memory Runtime

Last updated: October 13, 2026 at 06:54 UTC


Contribution Footprint

This repository-local chart ranks public repositories by recent commit activity and refreshes automatically.

Top repositories ranked by contributions over the trailing year

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  1. Nagari Nagari Public

    Modern programming language combining Python's elegant syntax with JavaScript's ecosystem compatibility. Rust-based transpiler for web development. React, Vue, Express compatible.

    Rust 3

  2. GenAi_Prep GenAi_Prep Public

    Comprehensive university-level study guide for LLMs, transformers, RLHF, and generative AI. 335+ pages (actively expanding), 47 visualizations, 4 notebooks. Regular updates with enhanced sections, …

    TeX 1

  3. Helios Helios Public

    Production-grade backend framework with durable KV storage (ATLAS), JWT authentication, RBAC, rate limiting, job queue, and reverse proxy. Built in Go with strong durability guarantees and enterpri…

    Go 1

  4. Cortexta Cortexta Public

    CORTEXA is a local-first developer memory runtime with semantic retrieval, compaction/resurrection, CX-LINK APIs, and a modern TypeScript CLI.

    TypeScript

  5. aletheia aletheia Public

    Document perception system for AI coding agents - Transform PDFs, images, and scanned documents into structured, agent-consumable formats. Supports OCR, layout analysis, table detection. Built for …

    Python 1

  6. NeuroswarmAutoml NeuroswarmAutoml Public

    A production-grade Neural Architecture Search (NAS) engine that co-evolves network topologies and continuous hyperparameters under real-time hardware latency and FLOP constraints.

    Python