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Mukunda Katta
Active across 50+ public developer, AI, open source, and research surfaces
Code, datasets, package registries, preprints, reproducible demos, agent workflows, and OSS contribution traces.
▰▰▰ The Lab ▰▰▰ Publications ▰▰▰ Bridge ▰▰▰ Stack ▰▰▰ Track Record ▰▰▰ Credentials ▰▰▰
8+ years building production systems at Fortune 100 scale
Former SDE at Amazon Web Services • Currently at Southwest Airlines
Deep expertise in ML systems, distributed architectures, and full-stack engineeringNow: shipped the @mukundakatta/agent* reliability stack (fit → guard → snap → vet → cast), 6 matching MCP servers in the official MCP Registry, 3 new GitHub Actions on the Marketplace, and published four new GitLab-born agent packages on PyPI. Plus 40+ open PRs across MCP SDKs, FastMCP, claude-code-action, and Anthropic's agent SDK.
🦊 THIS GITLAB 🐙 GITHUB
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4 agent-infra repos 222 original repos
All public + published 105 merged upstream PRs
GitLab Registry + PyPI npm + PyPI package workThe Lab
Four sibling repos under
mukunda.vjcs6-group. Each one solves a single concrete problem; together they form a personal agent stack.
Fresh Contributions
Publications
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┌───────────────────────────┐
│ agent-skills-playbook │ ← reusable behaviors
└─────────────┬─────────────┘
│ loaded by
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┌───────────────────────────┐
│ personal-agent-harness │ ← the runtime
└─────────────┬─────────────┘
│ specialized into
┌─────────────┴─────────────┐
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┌──────────────────┐ ┌──────────────────┐
│ browser-research │ │ ml-intern-lab │
└──────────────────┘ └──────────────────┘Published Packages
pip install agent-skills-playbook
pip install personal-agent-harness
pip install browser-research-agent
pip install ml-intern-lab| Package | PyPI | GitLab |
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agent-skills-playbook |
PyPI | Repo |
personal-agent-harness |
PyPI | Repo |
browser-research-agent |
PyPI | Repo |
ml-intern-lab |
PyPI | Repo |
Bridge to the Wider Portfolio
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Stack
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│ ML Systems │ Fault prediction · embedding pipelines · evaluation │
│ Agentic AI │ RAG · LangGraph · query routing · hallucination detection │
│ Cloud │ AWS Bedrock/SageMaker · GCP · Azure · K8s · Terraform │
│ Full-Stack │ React/TS · Java/Python APIs · CI/CD · zero-downtime │
└─────────────────────┴────────────────────────────────────────────────────────────┘Track Record
Numbers worth showing
- 78% infra cost reduction on the SageMaker → Bedrock migration ($1,740 → $371/mo)
- 600x retrieval-latency improvement on the ML prediction system
- 30K+ entries in the 9-stage agentic RAG pipeline (LangGraph + Bedrock Nova + FAISS + BM25)
- 5 prediction types in the aircraft-maintenance fault-prediction system
- 23 automated evaluation tests for the AI model-risk governance framework
- 40% content production-time reduction on the GPT-4 + RAG content platform
Credentials
Education · M.S. Big Data Analytics & IT, University of Central Missouri (2021-2022) · B.Tech Mechanical Engineering, SRM University (2012-2016)
ANTHROPIC
AWS
