I'm a backend developer who builds things end-to-end.
Not just APIs — full systems. When a problem lands on my desk, I figure out what's needed, pick the right tools, and ship something that works. I don't wait until I know everything about a stack before starting — I learn what I need, when I need it.
My work spans backend systems, AI-powered applications, and automation pipelines. Whether it's integrating an LLM into a product, designing a REST API, or automating a broken workflow — I treat every project as an engineering problem with a concrete solution.
Problem → Understand it deeply → Break it into parts → Build iteratively → Ship it
- I start with the what and why before touching code
- I prefer building something imperfect over planning something perfect
- I write systems that are readable by humans, not just machines
- If I don't know a tool, I learn it — that's never been a blocker
- I hold myself accountable to working software, not just working code
| Domain | What I've Done |
|---|---|
| AI Systems | RAG pipelines, LLM integrations, custom chatbots with memory and context |
| Backend APIs | Production-grade REST APIs in FastAPI & Spring Boot |
| Automation | End-to-end workflow automation, web scraping, data pipelines |
| Chatbots | WhatsApp Business API bots, Rasa NLU-powered assistants |
| Data Processing | Ingestion, transformation, and visualization pipelines |
Proof of work over resume lines.
Built a Retrieval-Augmented Generation pipeline that lets users query large document sets using natural language. Used LangChain, a vector store, and OpenAI under the hood — deployed as a FastAPI service.
Python LangChain FastAPI OpenAI Vector DB
End-to-end intelligent chatbot integrated with WhatsApp Business API. Handles multi-turn conversations, intent classification via Rasa, and backend fulfillment via REST APIs.
Python Rasa WhatsApp API FastAPI PostgreSQL
Built a scraping-to-dashboard pipeline that collects, cleans, and visualizes structured data from multiple sources on a schedule. Reduced manual reporting effort to zero.
Python Scrapy Pandas Plotly PostgreSQL
More on GitHub →
- Deepening knowledge in distributed systems and system design at scale
- Experimenting with agentic AI workflows (multi-step, tool-using LLM agents)
- Building toward cloud-native deployments (containerization, service orchestration)
- Actively taking on freelance projects — backend, AI integrations, automation
I'm open to freelance projects — especially ones where the problem is messy and the solution doesn't exist yet.
If you have a system that needs to be built, automated, or fixed — let's talk.
I don't just write code. I build things that work.