Senior Engineer

Building scalable systems that think, learn and evolve.

Engineering intelligent systems with precision and intent.

python
class IntelligentSystem:
def __init__(self):
self.scalable = True
self.ai_driven = True
def evolve(self):
return self.learn()
typescript
const buildSystem = async() => {
const architecture = {
scalable: true,
ai_driven: true
};
return architecture;
};
$system.status
Scalable architecture deployed
AI models initialized
System ready for evolution
About

Crafting backend architectures that drive intelligent applications.

Senior Backend and AI Python Engineer with deep expertise in building scalable systems, designing ML pipelines, and leading technical teams. Passionate about clean architecture, performance optimization, and engineering excellence.

8+
Years Experience
50+
Systems Built
30+
AI Models Deployed
10+
Languages

Backend Architecture

Designing and implementing scalable, high-performance backend systems. Specializing in microservices architecture, distributed systems, and API design. Expertise in Python frameworks including Django, FastAPI, and Flask.

AI & Machine Learning

Building intelligent systems that learn and adapt. From neural network design to production ML pipelines, I engineer AI solutions that solve real-world problems. Proficient in TensorFlow, PyTorch, and scikit-learn.

Cloud & DevOps

Deploying and managing infrastructure at scale. AWS, GCP, and Azure expertise. Containerization with Docker and Kubernetes. CI/CD pipelines, monitoring, and infrastructure as code.

Leadership & Mentorship

Leading technical teams and mentoring engineers. Code reviews, architecture decisions, and technical strategy. Building engineering cultures that prioritize quality, scalability, and innovation.

Technical Stack

Technologies I work with

A curated selection of tools, frameworks, and technologies that power the systems I build.

Backend

Python
Django
FastAPI
Flask
Node.js
PostgreSQL
MongoDB
Redis

AI & ML

TensorFlow
PyTorch
scikit-learn
LangChain
OpenAI API
Computer Vision
NLP
MLOps

Cloud & DevOps

AWS
GCP
Docker
Kubernetes
Terraform
CI/CD
Monitoring
Infrastructure as Code

Tools & Frameworks

Git
Linux
Apache Kafka
RabbitMQ
Celery
GraphQL
REST APIs
gRPC
Projects

Selected work and case studies

Highlights from the ai-experiments monorepo: LLM APIs, MCP servers, RAG agents, and developer tooling.

FEATURED
LLM + Tools

FastAPI LLM API with MCP Tools

Tool-augmented FastAPI LLM service using GPT-4o-mini and MCP for structured, analytics-ready responses.

FASTAPIOPENAIMCPPYDANTICPYTEST
VIEW ON GITHUB
FEATURED
Vision AI

Visual Q&A Service with Ollama

Visual question-answering API on Gemma3 with base64 encoding pipeline, strict schemas, and full logging.

FASTAPIOLLAMAGEMMA3PYDANTICPYTEST
VIEW ON GITHUB
FEATURED
RAG

Document Intelligence RAG Agent

Document intelligence RAG agent with FAISS indexing, knowledge stacking, and dual FastAPI + Gradio interfaces.

LANGCHAINFAISSFASTAPIGRADIOPYMUPDF
VIEW ON GITHUB
Infra/Networking

Cloudflare Proxy Compliance Monitor

DNS proxy compliance utility that audits Cloudflare A records and toggles proxying based on blocklist signals.

PYTHONREQUESTSCLOUDFLARE APISYSTEMDCLI
VIEW ON GITHUB
Developer Tools

MCP Scaffolding & FileOps Server

Scaffolding and file-operations MCP server that creates projects from templates with cursor rules baked in.

FASTAPIMCPUVPYDANTICTEMPLATES
VIEW ON GITHUB
DevOps

Single-Host Deploy Orchestrator

Template-based orchestrator that provisions nginx, TLS, and systemd services from GitHub dispatch payloads.

NGINXSYSTEMDCERTBOTGITHUB ACTIONSDOCKER COMPOSE
VIEW ON GITHUB
Contact

Let's build something together

Open to discussing backend architecture, AI systems, or technical challenges. Reach out through the form below or connect via email.

$ contact --init