# sikandar.yaml · kubectl apply -f sikandar.yaml
apiVersion: humans/v1
kind: Engineer
metadata:
name: sikandar-khan
region: ap-south-2 # Hyderabad, India
labels:
role: technical-program-manager
focus: agentic-ai
mode: hands-on # never left the codebase
spec:
compiledAt: IIIT-Basar # B.Tech CSE, class of 2014
current:
org: AiFA Labs
building: production AI agents (GraphRAG · LangGraph · Bedrock AgentCore)
runtimes: [python, node, typescript, java, dart]
sideProcesses:
- ai-readiness-lint # OSS
- pi-voice-agent # Raspberry Pi
- ib-cs-mentoring # since 2017
restartPolicy: Always PID PROCESS STATE STACK
001 prod-agent@aifa ● running LangGraph · Neo4j GraphRAG · Langfuse · Bedrock AgentCore
002 ai-readiness-lint ● running Node.js CLI · CI gate · SVG badge
003 pi-voice-agent ◐ building Raspberry Pi · speech in → agent → speech out
004 ib-cs-mentoring ⏱ cron Python · Java · IA · EE (weekly, since 2017)
flowchart LR
subgraph IN[" input "]
CR([SAP change request])
end
subgraph CORE[" AWS Bedrock AgentCore "]
direction TB
G[LangGraph<br/>state machine]
KG[(Neo4j<br/>knowledge graph)]
V[(OpenAI<br/>embeddings)]
G <-->|GraphRAG| KG
G <-->|semantic recall| V
end
subgraph SAFE[" production gates "]
direction TB
E{evals +<br/>guardrails}
H[/human review/]
end
CR --> G --> E
E -->|confident| OUT([CR / CO drafted])
E -->|uncertain| H --> OUT
G -.traces · cost · latency.-> LF[[Langfuse]]
Result: SAP Solution Manager CR/CO processing went from ~10 h → ~3 h per request. It's the organisation's first production AI agent.
ai-readiness-lint/ static linter for AI-agent repos
│ repo ──▶ 8 governance checks ──▶ score 0–100 ──▶ CI gate + badge
│ evals · guardrails · HITL · observability · cost limits · …
npm-packages/ CSRF prevention · dependency analysis
resume-platform/ open-source resume builder
👉 ai-readiness-lint: because "is this agent ready for prod?" deserves an answer you can run in CI.
gitGraph
commit id: "B.Tech CSE · IIIT Basar" tag: "2014"
commit id: "11+ yrs shipping software"
branch teaching
checkout teaching
commit id: "IB CS mentoring" tag: "2017"
checkout main
commit id: "DocOnline Health" tag: "2022"
commit id: "35+ feature health app"
commit id: "SonarCloud · VAPT · ISO 27001"
checkout teaching
commit id: "Smart India Hackathon mentor"
checkout main
commit id: "AiFA Labs" tag: "2026"
commit id: "first prod AI agent" type: HIGHLIGHT
merge teaching tag: "HEAD"
class IBComputerScience(Mentor):
"""Turning abstract CS into things students can explain, build and defend."""
since = 2017
levels = ("HL", "SL")
languages = ("Python", "Java")
covers = ["core theory", "Internal Assessment", "Extended Essay", "exam prep"]
edge = "11+ years of production code: students see what good code looks like in practice"
invariant = "the IA and EE are always the student's own work"📚 ibcswithsikandar.netlify.app: syllabus map, IA survival kit, key definitions and study materials.
+ [2018] 1st prize · Smart Health IoT · Asia-Pacific Hackathon, New Zealand
+ [----] Capgemini Innovative Startup Award
+ [2024] Google Cloud Architect · Kubernetes Engine Specialization
+ [2024] CSM · CSPO · Scrum Alliance
+ [2024] Executive education, Product Management · ISB$ exit 0 # see you in the commit history