About Me
I am a software engineer specializing in Artificial Intelligence and Machine Learning, dedicated to building safer and more inclusive technology. My career covers the development of deepfake detection solutions, prompt-injection defense systems, AI models for audio deepfake detection, and fact-checking agents fighting misinformation. I am also passionate about accessibility, with experience building sign language (Libras) translation programs to make technology more inclusive for the deaf and hard-of-hearing communities.
My main focus areas include:
- LLM safety guardrails
- GraphRAG AI Agents
- Fraud Detection
- Intelligent vector search solutions with Weaviate
Projects
Fake News Agent Detector
Identifying Deepfake Content
Work Experiences
Data Scientist at Act Digital (June 2025 – Present)
- Developer of AI-driven products involving MCP / Agents / A2A protocol, with hands-on experience in GraphRAG, traditional RAG systems, and Weaviate for vector storage.
- Vector Searching with Embeddings
- AI Agents / A2A Protocol / MCP
- Fraud Detection
Founder at Authenti.co (June 2024 – Present)
- Main focus on sign language translation using AI / Machine Learning
- ML Models to detect synthetic / deepfake content
- Sign Language Translation
- Fake News and Deepfake Content Detection
- Machine Learning / AI
Product Development Analyst at IAV (June 2023 – June 2025)
- AI-driven automotive scenarios generation based on natural language input, converting user requests (e.g., 'a car at 50 kph and another at 100 kph') into dynamic, data-driven simulations.
- AI-Chatbot with RAG to support Onboarding of new team members by providing instant access to relevant documentation.
- Machine Learning implementation to optimize project performance and enhance overall test-environment efficiency with anomalies detection.
- AI Generated Scenarios
- Forecasting of Failure in Testing