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 engineering
I contribute practical fixes to AI SDKs, MCP tooling, eval frameworks, agent infrastructure, and developer experience.
Recent contribution areas:
- OpenAI — SDKs, tokenizer tooling, docs, and error handling
- Anthropic — SDK examples and developer experience fixes
- Google — structured output and SDK documentation clarifications
- Microsoft — Playwright MCP docs and browser tooling
- Stanford / Princeton — HELM, benchmark, and evaluation ecosystem improvements
I keep a public log of selected OSS work in oss-contributions.
- openai/openai-node #1833 — preserved nested file paths in Skills API multipart uploads
- googleapis/python-genai #2305 — fixed multimodal function-response serialization for alias-aware media fields
- anthropics/claude-agent-sdk-python #851 — made
continue_conversation=Trueresume the latest matching session after restarts - microsoft/semantic-kernel #13891 — normalized Azure structured-output configs before agent run creation
- stanford-crfm/helm #4217 — deduplicated leaderboard metric columns so
main_metricno longer renders twice
|
78% Infrastructure cost reduction SageMaker → Bedrock migration |
600x Retrieval latency improvement ML prediction system |
30K+ Knowledge base entries 9-stage agentic RAG pipeline |
370+ Unit tests & evaluations Production ML systems |
ML Systems Fault prediction, embedding pipelines, model evaluation, cost-optimized inference
Agentic AI RAG pipelines, LangGraph workflows, query routing, hallucination detection
Cloud Infrastructure AWS (Bedrock, SageMaker, ECS, OpenSearch), GCP, Azure, Kubernetes, Terraform
Full-Stack React/TypeScript + Java/Python backend APIs, CI/CD, zero-downtime deployments
| Role | Company | Duration |
|---|---|---|
| AI/ML Engineer | Southwest Airlines | Aug 2025 — Present |
| AI/ML Engineer | GPS IT Solutions | Jun 2024 — Aug 2025 |
| Software Development Engineer | Amazon Web Services (AWS) | Aug 2022 — May 2024 |
| Data Engineer | Cigna | Jan 2022 — Aug 2022 |
| Software Engineer | American Express | Feb 2017 — Dec 2020 |
Highlights
Southwest Airlines — AI/ML Engineer
- Architected ML fault prediction system for aircraft maintenance — 5 prediction types, 10K+ records, sub-second retrieval
- Led SageMaker → Bedrock migration: 78% cost reduction ($1,740→$371/mo), 600x latency improvement
- Designed 9-stage agentic RAG pipeline (LangGraph, Bedrock Nova Pro/Micro, FAISS + BM25) over 30K+ KB entries
GPS IT Solutions — AI/ML Engineer
- Built GPT-4 + RAG content generation platform with compliance validation, reducing production time by 40%
- Designed AI model risk governance framework with 23 automated evaluation tests achieving regulatory compliance
- Architected FastAPI microservices with FAISS/Pinecone vector search on Kubernetes
Amazon Web Services (AWS) — Software Development Engineer
- Built and shipped features for AWS Application Manager (Systems Manager) serving enterprise customers globally
- Owned full-stack delivery: React/TypeScript frontend + Java/Python backend APIs with operational excellence
- Designed CI/CD and IaC patterns enabling zero-downtime deployments at enterprise scale
Cigna — Data Engineer
- Led end-to-end migration of healthcare data pipelines from on-prem to AWS (Glue, PySpark)
American Express — Software Engineer
- Developed Python backend services and RESTful APIs for enterprise platforms handling high-volume transactions at scale
Karna — AI Agent PlatformSelf-hosted AI assistant with 7 messaging channels (Telegram, Slack, Discord, WhatsApp, SMS, iMessage, Web), extensible plugin SDK, semantic memory, and voice. TypeScript monorepo with Next.js dashboard and React Native mobile app. TypeScript • Node.js • Next.js • Supabase • WebSocket • pgvector |
Chetana — AI Consciousness Research PlatformResearch-driven platform exploring machine consciousness through 14 indicators grounded in 6 scientific theories. Built to turn abstract AI-consciousness questions into structured experiments, scoring, and analysis. AI Research • Evaluation • Experimentation • Python |
AgentRAG — Modular RAG PipelineProvider-agnostic RAG framework with pluggable vector stores, chunking strategies, and retrieval methods. Designed for agentic workflows with clean API boundaries. RAG • Vector Search • Embeddings • TypeScript |
Astra Agent — AI Agent RuntimeStandalone AI agent runtime with tool execution, context management, and multi-model routing. Foundation for building autonomous AI assistants with structured tool use. TypeScript • LLM Orchestration • Tool Use • Agents |
More Projects
| Project | Description |
|---|---|
| Sadhak | AI-powered job search command center — automated evaluation, resume tailoring, application tracking |
| Chetana | AI consciousness research platform — 14 indicators from 6 scientific theories |
| Prithvi | Container security scanner — vulnerability detection, compliance checks, Docker audits |
| Amogha Cafe | Full-stack Firebase restaurant platform — real-time ordering, QR dine-in. Live |
| RNHT | Temple community platform — events, donations, priest scheduling |
| Vimana | Self-orchestrating AI — autonomous cloud infrastructure provisioning |
| AgentBench | Agent evaluation and benchmarking suite |
| AgentMem | Pluggable memory management for AI agents |
| LLM Bench CLI | CLI for benchmarking local LLMs — speed, throughput, quality |
| TokenWise | Token usage optimization across providers |
If you follow my work here, you’ll mostly see:
- open-source contributions to AI SDKs and agent tooling
- MCP, eval, and developer-experience improvements
- practical full-stack and infrastructure-heavy AI projects
- systems thinking around memory, retrieval, orchestration, and production reliability
University of Central Missouri — M.S. in Big Data Analytics and Information Technology (Jan 2021 — May 2022)
SRM University — B.Tech in Mechanical Engineering (2012 — 2016)
Anthropic
AWS
Cloud & Infrastructure
Stanford / Wharton
Microsoft
LinkedIn Learning
Open to opportunities — Senior AI/ML Engineer • GenAI Platform Engineer • Software Engineer
mukunda-ai.vercel.app • Las Vegas, NV