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harshkmr/README.md

⚡ Harsh Kumar

AI & Machine Learning Systems Engineer

Building High-Throughput ML Inference Engines • Resilient MLOps Pipelines • Scalable Software Systems

GitHub Followers LinkedIn Email


🚀 About Me

I am an AI & Machine Learning Systems Engineer passionate about bridging the gap between ML research models and production-grade software engineering.

  • 🧠 ML & Inference Systems: Specialized in designing sub-millisecond classification engines, Softmax probability calibration, and migrating ML workloads into standalone engines.
  • ⚙️ MLOps & Infrastructure: Experienced in hardening MLflow experiment tracking servers, automated artifact validation, lineage visualization, and containerized workflows.
  • 🗄️ Data & Performance Engineering: Expert in high-throughput SQLite transaction batching, data integrity reconciliation, and query optimization.
  • 🛠️ Software Engineering: Crafting resilient, production-grade CLI tools and services using Python, Java 17, PHP, and SQL.

🛠️ Tech Stack & Ecosystem

Domain Technologies & Tools
Core Languages Python Java 17 PHP 8 SQL Bash C++
ML & AI Systems MLflow Snorkel Scikit-Learn Pandas NumPy Graphviz
Databases & Storage SQLite (PDO/JDBC) MySQL PostgreSQL REST APIs
DevOps & Tooling Docker Apptainer Git Maven JUnit 5 Pytest Ruff

📌 Featured Engineering Projects

┌─────────────────────────────────────────────────────────────────────────────┐
│ ⚡ Naive Bayes PHP CLI Engine (naive-bayes-php-cli)                         │
│ High-performance ticket classification engine migrated from Java to PHP CLI │
│ with SQLite PDO, Softmax calibration & JUnit 5 testing harness.             │
└─────────────────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────────────────┐
│ 🛡️ Hardened MLflow Experiment Tracking System                               │
│ Resilient MLOps tracking server architecture with automated artifact        │
│ validation, git rebase recovery, and full Pytest coverage.                  │
└─────────────────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────────────────┐
│ 🔍 SQLite Media Attestation & Reconciliation Engine                         │
│ Data integrity verification system reconciling database attestations        │
│ directly against Git history and cryptographic hashes.                      │
└─────────────────────────────────────────────────────────────────────────────┘

Pinned Loading

  1. apptainer-simulation-specs-diagnostics apptainer-simulation-specs-diagnostics Public

    Offline diagnostic engine and Snorkel Terminal-Bench benchmark task for scoring Apptainer groundwater simulation stability risks.

    Python

  2. harden-mlflow-tracking-task harden-mlflow-tracking-task Public

    An AI coding benchmark task evaluating automated rebase conflict resolution, MLflow tracking security, secret redaction, and Hugging Face model evaluation safety.

    Python

  3. recover-graphviz-lineage recover-graphviz-lineage Public

    An offline benchmark task using Terraform, Python, and Graphviz to reconstruct corrupted machine learning model lineage metadata, query Hugging Face dataset split counts, and render color-coded lin…

    Python

  4. reconcile-sqlite-media-attestations reconcile-sqlite-media-attestations Public

    An automated media verification & reconciliation engine resolving conflicting SQLite attestations, Ed25519 signed release manifests, and lost Git verifier policies via Git reflog recovery.

    Python

  5. Riskpulse Riskpulse Public

    RiskPulse — AI-Driven Project Risk Manager A PMP-aligned web application for quantitative project risk analysis. RiskPulse utilizes Beta-PERT Monte Carlo simulations, Critical Path Method (CPM) sch…

    JavaScript 1 1

  6. carbon-footprint-platform- carbon-footprint-platform- Public

    "A fast, modern web platform that helps individuals calculate, track, and reduce their carbon footprint through personalized insights and actionable steps. Built with pure HTML, CSS, and Vanilla JS."

    JavaScript