Design, integrate, and operate reliable AI-powered automations that connect business apps (CRMs, Helpdesks, ERPs) with LLMs and cloud services — measured by SLA, latency, accuracy, and cost.
💡 My goal: Build automation systems that run reliably, observe themselves, and scale with trust.
- Turn business goals into event-driven workflows (APIs, webhooks, queues).
- Define measurable KPIs: reliability, latency, cost efficiency.
- Design robust edge-case handling and fallback strategies.
- Tools: Zapier, Make, n8n + Python/FastAPI microservices
- APIs: REST, GraphQL, OAuth2, Webhooks, Redis queues
- Expertise in connecting business systems + AI services seamlessly.
- Prompt engineering, function calling, RAG pipelines
- Text classification, summarization, data validation (Pydantic)
- Integrations: OpenAI, Anthropic, Hugging Face
- Dockerized microservices + GitHub Actions CI/CD
- Observability via structured logs, retries, metrics, alerts
- Secure secret management, PII safety, and rollback systems
- Versioning + automated evaluations (quality/drift)
- Cost dashboards, backup/restore, and incident playbooks
Languages: Python, JavaScript, TypeScript, Solidity
Frameworks: FastAPI, Flask, LangChain, Node.js, Hardhat
Automation Tools: Zapier, Make, n8n
Infra: Docker, Redis, GitHub Actions
AI Stack: OpenAI, Anthropic, Hugging Face
Databases: PostgreSQL, MongoDB
| 🧩 Project | Description | Stack |
|---|---|---|
| 🧾 Smart Invoice Parser | LLM-powered API that extracts & validates invoice data | FastAPI · Pydantic · OpenAI |
| 🤖 CRM Ticket Classifier | Auto-triages support tickets using GPT-based categorization | Zapier · FastAPI · GPT-4 |
| 🔄 KnowledgeSync Bot | Automated RAG pipeline syncing internal docs to LLM context | n8n · Redis · LangChain |
| Week | Focus | Deliverable |
|---|---|---|
| 1 | Python + FastAPI Foundations | ✅ Base backend structure + Docker setup |
| 2 | API Integration & Webhooks | REST/GraphQL Integration Demo |
| 3 | Zapier/Make/n8n Automation | Multi-service automation flow |
| 4 | LLM Function Calling | AI tool-calling endpoint |
| 5 | RAG Pipeline | Knowledge base integration |
| 6 | CI/CD + Observability | GitHub Actions + logging stack |
| 7 | Cost Tracking + Evaluations | Metrics dashboards |
| 8 | Security & Reliability | Error handling + rollbacks |
| 9 | Unified Project Assembly | Scalable AI workflow system |
| 10 | Portfolio Polish | Final demo + documentation |
“The future of business automation isn’t no-code — it’s trustworthy AI + clean integration.”
“Reliability is the real intelligence — automation means nothing without trust.”