Team

AI-spacecraft

Project Concept

FocusFlow is an intelligent location discovery application designed to help users find the ideal place based on their current needs, preferences, and context. Leveraging the Google Maps API, the app processes user inputs—such as desired activity type (e.g., quiet workspace, coffee shop, park, or restaurant), proximity constraints, time of day, and personal preferences (e.g., budget, accessibility, or ambiance)—to recommend optimal locations in real-time.

Entry

Status: Not Started

Team Roster

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Hilda HUo Team Lead RSVP Approved

AI engineer at Inkubis

Hilda Huo, an AI engineer at Inkubis, is a dedicated lifelong learner and technology enthusiast with a robust background in AI and CS. Passionate about creating innovative and scalable solutions, she excels in Python, PyTorch, Tensorflow, SQL, MongoDB, PostgreSQL, Docker, Kubernetes, AWS, Git, Bash, JavaScript, NodeJS, HTML, CSS, React, TypeScript, Django, and Flask. With experience in large language models (LLMs) and generative AI, Hilda's expertise lies in coding and implementing cutting-edge technologies. Her diverse skill set and commitment to excellence make her a valuable asset for any team working on AI, web development, or backend/frontend projects.

AI, CS, psychology, neuroscience, Python, PyTorch, Tensorflow, SQL, MongoDB, PostgreSQL, Docker, Kubernetes, AWS, Git, Bash, JavaScript, NodeJS, HTML, CSS, React, TypeScript, Django, Flask, large language models (LLMs), generative AI.

Currently, Hilda Huo, an AI engineer at Inkubis, is working on developing a large language model (LLM) using Python, PyTorch, and Tensorflow. She is also involved in implementing generative AI solutions using SQL, MongoDB, and PostgreSQL. Additionally, Hilda is collaborating on deploying these models on Docker and Kubernetes within the AWS environment. Her current projects focus on cutting-edge technologies and innovative solutions in the field of artificial intelligence.

Sayli RSVP Approved

AI automation engineer at wineconx

AI Automation Engineer with extensive experience in designing and deploying scalable AI systems across startups, research institutions, and enterprise environments. With a strong foundation in computer science and deep expertise in LLMs, machine learning, and data-intensive architectures, they have led the development of production-grade AI solutions that drive automation, analytics, and decision-making. Their career spans applied AI, research, and data science roles, consistently translating complex business challenges into reliable, real-world AI applications. They are also passionate about mentoring and advising startups on leveraging AI for innovation and growth.