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Achievements

Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

Achievements

Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

Highlights

  • Pro

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aryanmiriyala/README.md

Aryan Miriyala banner

Animated terminal header

portfolio • linkedin • resume • email 

$ whoami
Aryan Miriyala

$ role
Software engineer building backend systems, data platforms, and AI-enabled products

$ current_focus
- production data workflows
- full-stack application engineering
- practical AI and retrieval systems

$ stack
Python • TypeScript • Node.js • React • PySpark • AWS Glue • PostgreSQL • MongoDB • OpenAI API

highlights.log

  • Automated a manual billing workflow over 20+ TB of data with PySpark and AWS Glue

  • Helped migrate 160+ legacy jobs into AWS-based ETL and partitioned S3 pipelines

  • Built secure internal app workflows with React, Node.js, JWT, and RBAC

  • Contributed across 24 repositories, working mostly in Python and TypeScript

currently_shipping.md

  • Backend and data systems

  • Full-stack product features

  • RAG and AI-assisted product workflows

  • Research in AI4SE and cybersecurity at BGSU

featured_work/

toolchain.json

{
  "languages": ["Python", "TypeScript", "JavaScript", "SQL", "C++", "Rust"],
  "backend": ["Node.js", "Express", "REST APIs", "JWT", "Auth0"],
  "frontend": ["React", "Next.js", "Angular", "Tailwind CSS", "Flutter"],
  "data": ["PySpark", "Pandas", "Airflow", "Databricks", "AWS Glue", "Impala"],
  "ai": ["OpenAI API", "LangChain", "Mistral AI", "SentenceTransformers", "PyTorch"],
  "cloud": ["AWS", "S3", "Lambda", "Docker", "PostgreSQL", "MongoDB", "MySQL", "Oracle"]
}

Pinned Loading

  1. RAG-Model-App-Review-Analysis RAG-Model-App-Review-Analysis Public

    Python

  2. ISE-Research/diff-grounded-pr-gen ISE-Research/diff-grounded-pr-gen Public

    Replication package for the ICSME 2026 paper on diff-grounded pull-request description generation with structured PR evidence and evaluation artifacts.

    Python 2