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About this portfolio

SEO

100 words

  • Unity
  • Multiplayer
  • LiveOps
  • C#

Leonardo Lycan is a Lead Game Developer specializing in Unity game development, multiplayer architecture, gameplay systems, LiveOps, and technical production. This portfolio brings together published projects, playable prototypes, product studies, and articles on game engineering, applied AI, Web3, onboarding, and digital experiences. The work combines team leadership, C# programming, service integration, performance optimization, and clear communication across design, art, and business. For projects, consulting, or collaboration, Leonardo takes a practical approach: understand the problem, build a robust solution, and turn complex requirements into memorable experiences for players and digital products with measurable, lasting impact for teams, audiences, and product goals.

Production case

An AI companion experience designed to converse, receive personal stories and retrieve memories from earlier interactions. Through natural language understanding and persistent context, AIRI builds emotional rapport over time, creating a uniquely personal digital relationship that evolves with every conversation.

Explore the case↓
ClientBwech Inc.
Period2023
RoleConversational experience and Unity interface
PlatformsiOS · Android

Visual archive

The project in motion.AIRI AI

06selected records

PLAY

A conversation that remembers

PLAY

Memory as part of the interface

Persistent memory gives the conversation context
FRAME

Persistent memory gives the conversation context

Expression and response work as one system
FRAME

Expression and response work as one system

States make the personality readable
FRAME

States make the personality readable

Exploratory visual direction for the world
FRAME

Exploratory visual direction for the world

01

Challenge

Make a virtual assistant feel continuous between sessions while staying clear about what was remembered and what was only answered in the moment.

02

Solution

Connect conversation, personal-story capture and memory retrieval to a clear, responsive companion interface.

03

Outcome

A mobile prototype demonstrating contextual dialogue, memory across interactions and a consistent visual presence.

Visual research · exploratory concept

From presence to visual memory

The prototype demonstrates conversation and context retrieval. This research turns those principles into a visual hypothesis for continuous companionship without presenting the art as an implemented interface.

Preserved prototypeConcept exploration
  1. Studies of ethereal architecture, terraces, light and memory paths.

    01 · Presence

    Compose the sanctuary

    Open architecture, sky and soft light create a meeting place instead of a utility screen. The studies seek calm, depth and a sense of continuity between sessions.
  2. Character, expression, gesture, hair and outfit studies for AIRI.

    02 · Character

    Anchor a trusted presence

    Expressions, gestures and outfit construction keep AIRI recognizable and welcoming. Dark-blue hair, cyan highlights and the blue bow act as identity invariants.
  3. Studies of memory cards, connections, flows and conversational interface shapes.

    03 · Memory

    Make memories visible

    Luminous cards, nodes and paths show how stories can be retrieved and related. The interface becomes a delicate layer of the world rather than a dominant technical panel.

  4. 04 · Synthesis

    Unite bond and system

    The final vision connects character, space and memory in one language. It is a conceptual expansion of the prototype, communicating intent without claiming a finished interface.
Concept key art of the AIRI companion in an ethereal space surrounded by luminous memory fragments.
Concept vision

Proposed direction for a future final pass — not captured final gameplay.

Conversation with continuity

AIRI explores a virtual assistant and companion that does not restart the relationship in every session. The user can talk, describe part of their day and encounter information stored from earlier interactions.

Memory as interface

The value is not only generating a response. Text, conversation rhythm and the character representation all need to communicate context, recall and presence.

A product-focused slice

The available media demonstrates the mobile experience, conversational flow and moments of context retrieval. The case stays focused on visible interaction and does not claim autonomy or capabilities beyond the recordings.

05 · Case proof

Inside AIRI AI

01

Risk

What could fail?

Make a virtual assistant feel continuous between sessions while staying clear about what was remembered and what was only answered in the moment.
02

Decision

What changed the direction?

Connect conversation, personal-story capture and memory retrieval to a clear, responsive companion interface.
03

System

What can the team reuse?

A foundation built with Unity, C#, Conversational AI, Memory Systems to support iteration and delivery.
04

Outcome

What became better?

A mobile prototype demonstrating contextual dialogue, memory across interactions and a consistent visual presence.
Technologies

Unity · C# · Conversational AI · Memory Systems

Links

Available on request

Closure

What this project leaves.

A mobile prototype demonstrating contextual dialogue, memory across interactions and a consistent visual presence.

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