Borjan Ladinski

Projects

Projects

Autonomous Code Debugging Agent

Aug 2026 – Sep 2026

Developed an autonomous AI debugging agent that investigates software defects, analyzes repository code, applies targeted patches, and executes tests to verify fixes through an iterative tool-driven workflow.

  • Designed an autonomous debugging workflow integrating repository inspection, code search, diagnosis, patch generation, and test execution.
  • Implemented five agent tools: list_directory, read_file, search_code, apply_patch, and run_tests.
  • Successfully resolved 3 out of 3 benchmark bugs, averaging 1.33 patch attempts and 8.67 agent iterations per task.
  • Developed an iterative verification loop that uses test feedback to refine patches and validate fixes.

Tech: Python, LLMs, Agentic AI, Tool Calling, Automated Testing, Git, pytest

AI Codebase Intelligence (Hybrid RAG)

Jun 2026 – Aug 2026

Built an intelligent codebase retrieval system combining semantic search, BM25 keyword matching, reciprocal rank fusion, and reranking to improve code discovery and retrieval accuracy.

  • Developed a hybrid RAG pipeline integrating semantic embeddings, BM25 retrieval, reciprocal rank fusion, and cross-encoder reranking.
  • Built a scalable retrieval backend using FastAPI, PostgreSQL, Redis, Celery, and Pinecone.
  • Achieved 100% Hit@5 and 0.875 MRR@5 with reranking, outperforming the BM25 baseline of 0.750 Hit@5 and 0.500 MRR@5.
  • Implemented comparative evaluation of keyword, semantic, hybrid, and reranked retrieval strategies.

Tech: Python, FastAPI, PostgreSQL, Redis, Celery, Pinecone, BM25, Sentence Transformers, RRF, Reranking, Docker

Traffic AI: Intelligent Traffic Monitoring and Prediction System

Dec 2025 – May 2026

Developed an AI-powered traffic monitoring and forecasting system using computer vision, deep learning, multi-object tracking, and time-series prediction to analyze vehicle movement and traffic patterns.

  • Developed an AI-powered traffic monitoring and forecasting system using Computer Vision and Machine Learning.
  • Implemented real-time vehicle detection with YOLOv8 and processed live traffic camera feeds using OpenCV.
  • Built custom centroid-based multi-object tracking for vehicle counting and traffic flow analysis.
  • Generated traffic analytics and implemented LSTM-based forecasting for 24-hour traffic prediction.
  • Trained the detection model on approximately 9,800 annotated traffic images.

Tech: Python, YOLOv8, OpenCV, PyTorch, Pandas, NumPy, Machine Learning, Computer Vision, LSTM, Data Analytics

FlyRank — ML Content Opportunity Scoring

Sep 2026 – Oct 2026

Developed machine learning workflows during a FlyRank internship to identify declining web content, prioritize optimization opportunities, and generate explainable recommendations using search performance data.

  • Developed an ML-based content opportunity scoring workflow using search performance data and page-level features.
  • Evaluated a Random Forest ranking model achieving 0.740 Precision@50 versus a 0.240 rule-based baseline on the starter benchmark.
  • Processed March and April datasets containing over 20 million combined source rows, producing a feature frame of 176,738 pages.
  • Defined 30-day content decline labels, implemented leakage checks, and evaluated classification performance.
  • Built explainable prioritization logic with reason codes and recommended actions for content optimization.

Tech: Python, Scikit-learn, Random Forest, Pandas, DuckDB, Machine Learning, Feature Engineering, Classification, Ranking, Precision@K

DermAneta — Dermatology Appointment & Payment Platform

Feb 2026 – Oct 2026

Designed and deployed a production Django platform for dermatology appointment booking and secure online payments, integrating CaSys cPay with payment verification, transaction tracking, and automated confirmation workflows.

  • Developed and deployed a Django-based dermatology appointment booking platform for a real client.
  • Integrated CaSys cPay payment processing with checksum validation, transaction status verification, and secure callbacks.
  • Implemented idempotent payment confirmation, retry handling, and automated patient and administrator email notifications.
  • Hardened payment workflows against duplicate callbacks, stale verification responses, and incorrect payment status transitions.
  • Deployed and maintained the production application through cPanel, with database migrations and automated testing.

Tech: Python, Django, SQLite, CaSys cPay, REST APIs, Payment Integration, HTML, CSS, JavaScript, Git, cPanel

AI Usage Metering & Billing Platform

Jun 2026 – Jul 2026

Developed a SaaS backend for tracking API usage, enforcing subscription-based quotas, and integrating Stripe billing, providing the infrastructure needed to monetize and manage AI-powered services.

  • Built a subscription-based SaaS backend using Python and FastAPI with integrated Stripe billing.
  • Implemented usage metering to track API consumption and enforce plan-specific limits.
  • Designed Free and Pro subscription tiers with configurable quotas and upgrade functionality.
  • Developed API endpoints for subscription management, usage reporting, and quota enforcement.
  • Added automated tests to validate billing logic, usage limits, and subscription behavior.

Tech: Python, FastAPI, Stripe API, REST APIs, SaaS Architecture, Subscription Billing, Usage Metering, API Quotas, pytest

Automated Video Creator

Jan 2026 – Feb 2026

  • Built an AI-powered system for automated video generation using external AI APIs.
  • Developed a script-to-video pipeline with dynamic content and asset generation.
  • Integrated multiple APIs for media processing, rendering, and content creation.
  • Designed scalable backend architecture focused on automation and performance.

Tech: Python, AI APIs, REST APIs

EverBloom

Nov 2025 – Jan 2026

  • Developed a full-stack e-commerce web application for product browsing and purchasing.
  • Built a responsive frontend using Angular, HTML, CSS, and Bootstrap 5.
  • Implemented RESTful backend services with Django REST Framework.
  • Designed modular architecture and optimized client-server communication.

Tech: Angular, Django REST Framework, Python, Bootstrap, REST APIs