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Work

Case studies covering the problem, the constraints, and how each system was put together.

4 projects shown

Active

jobs.af

Backend Team Lead

Led backend architecture for Afghanistan's leading job platform — listings, search, application tracking, and ATS integration. Designed and built a semantic Applicant–Job Matcher microservice using gRPC, Sentence-Transformers, and scikit-learn.

  • TypeScript
  • NestJS
  • PostgreSQL
  • Docker
  • Microservices
  • gRPC
  • Sentence-Transformers
  • scikit-learn

Completed

Project Vectorizer

Solo Developer

CLI tool that vectorizes entire codebases and exposes them via Model Context Protocol (MCP), enabling AI agents to semantically navigate large projects.

  • Python
  • MCP
  • Embeddings
  • Semantic search
  • Sentence-Transformers
  • ChromaDB

Completed

Applicant–Job Matcher

Solo Developer

A semantic matching microservice used in the jobs.af applicant tracking system. A gRPC service scores applicants against a job with Sentence-Transformers (falling back to TF-IDF) and returns an explainable breakdown: skills, experience, education, functional area, location and languages.

  • Python
  • gRPC
  • Sentence-Transformers
  • scikit-learn
  • NumPy
  • Semantic search
  • Microservices

Completed

Job Recommendation API

Solo Developer

The Python prototype of the jobs.af job recommender, now used inside the core jobs.af platform: a FastAPI service that embeds jobs and applicants with a multilingual sentence transformer, searches them with pgvector, and scores matches on skills, experience and detected job domain in about 780 ms for 200 recommendations.

  • Python
  • FastAPI
  • PostgreSQL
  • pgvector
  • SQLAlchemy
  • Sentence-Transformers
  • Semantic search
  • Docker