A curated selection of things I've built — from production systems to experiments.
CV Ranker streamlines the recruitment lifecycle by using semantic AI embeddings and large language models to automate resume screening and candidate ranking. It reduces hiring bias and time-to-hire by providing objective, data-driven insights and automated reporting.
CVWriter leverages Google Gemini 1.5 Flash to automatically tailor master CVs and cover letters to specific job descriptions, producing ATS-optimized application materials with modular, CLI-driven precision.
A high-performance, stateless compute engine that leverages genetic algorithms to automate complex educational resource allocation. It minimizes manual scheduling errors and optimizes teacher and room utilization by providing mathematically optimal, conflict-free schedules via a scalable RESTful API.
A privacy-first meeting intelligence tool that generates structured minutes by performing local audio transcription and PII redaction before utilizing LLMs. It ensures data sovereignty by processing sensitive information entirely on-device.
An automated document processing system that leverages Google Gemini and LangChain to transform informal chat transcripts into structured, professional content. It streamlines content creation by parsing multi-format inputs (TXT, DOCX, PDF) and rendering refined outputs.
Gemma Sentinel is an offline-first security tool that identifies fraudulent patterns in text, images, and audio using a hybrid architecture of local Llama.cpp inference and cloud-based Google Gemma models. It ensures user privacy by utilizing a stateless design that performs real-time threat detection without persistent data storage.
An intelligent, privacy-first conversational analytics platform that streamlines public health data reporting by integrating directly with the DHIS2 Analytics API. The solution provides multi-modal output generation—including dashboards and presentations—while offering deterministic local agent fallback and configurable web enrichment.
Teacher Co-Pilot automates the creation of curriculum-aligned lesson plans and assessment materials for secondary education, significantly reducing administrative overhead through an AI-driven, LLM-as-judge pipeline.
Student_copilot is a scalable, RAG-enabled tutoring platform that delivers personalized, factually accurate instruction by grounding AI responses in verified curriculum data. The system utilizes a dual-tier chunking architecture and longitudinal student profiling to eliminate hallucinations and adapt to individual learning modalities.
A production-grade, multi-tenant AI support platform that leverages hybrid Retrieval-Augmented Generation (RAG) to convert internal documentation into actionable customer support. The system delivers high-recall responses via integrated dense/sparse vector search, local reranking, and omnichannel social media connectivity.
A career-focused mentorship platform that automates high-quality mentor-mentee connections using AI-driven semantic similarity and vector search. It optimizes retrieval and ranking through transformer-based embeddings to align professional goals, availability, and user preferences.
An automated document intelligence platform that parses academic literature to extract structured research metadata, significantly accelerating literature review workflows. It leverages Generative AI to convert unstructured PDFs and Word documents into actionable, machine-readable datasets.
An enterprise-grade Retrieval-Augmented Generation (RAG) platform that centralizes fragmented internal data while enforcing granular role-based access control. It optimizes organizational workflows by providing secure, grounded AI assistance and automated support ticket routing.
Try: "Has he built anything with LangGraph?"
Thinking…
This site uses cookies and tracking tools (Meta Pixel, Microsoft Clarity) to measure ad performance and improve the experience. Privacy policy