Deniz Gould

AI/ML-Focused Software Engineer

Watch AI navigate the maze using machine learning algorithms

Deniz Gould portrait

About Me

Imagine a world where software anticipates your needs, learns from you, and evolves alongside you; that’s the future I’m building toward. Curiosity is my compass: I explore the boundary between human intelligence and machine “smarts” by dissecting the why behind human decision-making and shaping AI/ML models that learn to think in their own way. As an AI/ML-focused engineer, I bridge human intuition and machine precision, shipping intelligent web applications that make life smoother and more surprising. By day I’m integrating LLMs into natural-language scheduling assistants; by night I’m cooking at high heat, tackling chess and Catan puzzles at the board-game table, or laying down bass and sax riffs. I’m excited to bring this blend of curiosity, creativity, and code to a team tackling real-world challenges. If you’re as eager as I am to build tech that’s intuitive, inclusive, and just a little bit magical, let’s chat!

Cognitive PsychologyIntelligenceMusicChess

Skills

Skill Categories

🔧

Frameworks & Libraries

4 skills

🤖

AI/ML

4 skills

🌐

Web Development

4 skills

⚙️

Tools & DevOps

4 skills

🤝

Soft Skills

4 skills

🗣️

Languages

3 skills

🗄️

Databases

4 skills

💻

Programming Languages

4 skills

Projects

AI-Powered Smart Calendar

Natural-language scheduling assistant that optimizes event planning end-to-end.

  • Processed 10 000+ scheduling requests with 94 % intent-recognition accuracy
  • Creates or updates events in <2s,cutting manual setup time by 50 %
  • Serves 200+ active users with 99.5 % uptime

Sennet

Multiplayer Senet platform with matchmaking, private lobbies, AI, and persistent player profiles.

  • Server-authoritative gameplay with realtime turns over Socket.IO
  • Online matchmaking, private friend lobbies, and reconnection support
  • Single-player AI, player stats, and shared game-engine logic across client and server

Multilingual Translator with AI-Powered Gesture & Speech

In-progress: inclusive translation platform combining gesture recognition and speech.

  • Gesture detection at 30 FPS with 95 % symbol-recognition accuracy
  • Delivers translations in 5 target languages with 0.92 BLEU score on average
  • End-to-end latency under 3 s, designed for 100 requests/min throughput

Education

M.S. Computer Science, AI/ML Concentration

University of San Francisco

Expected 2026

Focus Area

Artificial Intelligence, Machine Learning, Deep Learning

Relevant Coursework

Bayesian & Deep Learning
Network Programming
Algorithms

B.S. Computer Science

University of the West Indies

2019-2022

Focus Area

Software Engineering, System Design, Web Development, Cognitive Psychology

Relevant Coursework

Artificial Intelligence
Operating Systems
Web Development 1 + 2
Cognitive Psychology
Database Management Systems
Software Engineering