Safiullah Rattar

Software Engineer — AI Systems, Full-Stack & Cloud

Production LLM pipelines, RAG systems, API platforms, data workflows, and full-stack products.

Specimen Archive

The Workbench

Parhako

EdTech Platform

SPECIMEN №001

AI study platform with RAG pipelines, structured output parsing, mock tests, and exam workflows. 2,500+ active users. Processes 20,000+ practice questions. Built with Next.js, PostgreSQL, LangChain, AWS ECS, S3, and SES.

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vectordb-lite

Vector Database

SPECIMEN №002

HNSW vector database built from scratch in Python + NumPy with multi-layer graph construction, cosine/euclidean/dot-product similarity, and soft-delete persistence.

View on GitHub →

Service Record

Contract Work

Trading data pipeline. Automated news gathering, market scanning, statistical analysis for real-time trading. Python, WebSocket, PostgreSQL, AWS ECS. Circuit breakers, risk checks, position tracking.

University LMS. Course registration, student/instructor/admin workflows, assignments, exams, grading, dashboards, WCAG-aware forms. React, Node.js, PostgreSQL, Prisma.

Patient management platform. Django app embedded into healthcare SaaS with JWT iframe sessions, RBAC, patient records, appointments, billing, and PostgreSQL APIs.

Warehouse terminal. Legacy terminal interfaces rebuilt in Angular, Java/Spring Boot. Real-time WebSocket sync, offline-capable mobile interfaces.

Client-screening app. React Native app with QuickBooks financial data, background checks, contractor risk scoring, reporting workflows, TypeScript, and PostgreSQL.

Operations dashboards. Admin workflows that moved spreadsheet/manual processes into web forms, REST API flows, PostgreSQL-backed records, and status tracking screens.

Technical Inventory

The Chalkboard

e^iπ + 1 = 0

∇ × B = μ₀J + μ₀ε₀ ∂E/∂t

F = ma

∫₀^∞ e^−x² dx = √π/2

Skills & Competencies

Python

TypeScript

React

Next.js

Node.js

Django

Spring Boot

PostgreSQL

AWS

Docker

CI/CD

Linux

LLMs

RAG

React Query

WCAG

Embeddings

Vector Search