AI Engineer & Full-stack Developer
Building intelligent systems at the intersection of artificial intelligence and modern web architecture.
// Interactive
// Overview
PHILOSOPHY
"Build systems that think, not just compute."
Every line of code should serve a purpose. Every architecture should scale.
EDUCATION
PDP University
AI & Software Engineering
EXPERIENCE
0
years of building
CURRENT FOCUS
LLM Integration
RAG Systems & Agents
CORE STACK
"Move fast with stable infrastructure."
— Mark Zuckerberg
// Evolution
From first lines of Python to designing AI systems — every step was intentional.
Started with Python — built first CLI tools, learned HTTP protocols, understood how the web works beneath the surface. First encounters with algorithms and data structures.
Dove deep into systems programming — memory management, pointers, STL. Mastered sorting algorithms, graph traversal, dynamic programming. Built REST APIs with FastAPI and PostgreSQL.
Deep learning with TensorFlow — neural network architectures, CNNs, RNNs, Transformers. Building production ML pipelines, working with vector databases, implementing RAG systems.
Designing end-to-end AI-powered applications — from intelligent backends to reactive frontends. Contributing to open-source, leading engineering teams, shaping products that matter.
// Proficiency
Understanding what happens beneath each abstraction layer — not just how to use, but why it works.
Python
Primary Language
Backend systems, data pipelines, ML model training, async with asyncio
Flask/FastAPI services, script automation, web scraping
C++
Systems Programming
Manual memory management, pointers, references, move semantics
STL containers, competitive programming, O(1) optimization
FastAPI
Web Framework
RESTful API design, Pydantic validation, dependency injection
Async endpoints, OAuth2 auth, middleware, OpenAPI docs
TensorFlow
Deep Learning
Neural network architectures — CNN, RNN, Transformers
Keras API, model serialization, GPU training, TF Serving
PostgreSQL
Database
Schema design, complex JOINs, indexing strategies
Query optimization, Alembic migrations, SQLAlchemy ORM
Docker
DevOps
Multi-stage builds, Docker Compose, volume management
Image optimization, CI/CD pipeline integration
Git & Version Control
Workflow Mastery
GitFlow and trunk-based branching strategies
Interactive rebase, conflict resolution, conventional commits, monorepo management
// Live Demo
See algorithms in action — understanding complexity means seeing it.
COMPARISONS
0
SWAPS
0
TIME
0ms
// Connect
Open to collaborations, internships, and interesting conversations about AI and engineering.
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