# Faith Dennis

> SWE @ Gravity Platforms, Inc. | Data Science + Cognitive Science @ Berkeley

Location: Berkeley, California, United States
Profile: https://flows.cv/faithdennis

I'm a 4th year UC Berkeley student driven by curiosity and a passion for designing thoughtful, human-centered tech. Whether it's building a backend for a social media app or creating tools that help students learn, my projects combine strong technical skills with a focus on improving lives. My experience spans software development, machine learning, data science, and data engineering, and I thrive when collaborating with teams to solve complex problems.

## Work Experience
### Backend Software Engineer @ Gravity Platforms Inc.
Jan 2024 – Present | San Francisco Bay Area
In my role as a Backend Software Engineer at Gravity Platforms Inc., I contributed to the design, development, and maintenance of backend systems for Gravidy's social platform. By optimizing database usage, expanding test coverage, and improving code reliability through close team collaboration, I played a key role in enhancing the platform's performance and user experience.

### Software Engineer @ Neurotech@Berkeley
Jan 2025 – Jan 2025 | Berkeley, California, United States
As a Software Engineer at Neurotech @ Berkeley, I drove machine learning projects leveraging brain data, developed cloud-based deployment workflows, and actively participated in technical discussions to deepen my expertise in neurotechnology.

### Backend Web Developer (Senior Tech Mentor) @ Computer Science Mentors
Jan 2024 – Jan 2025
As a Backend Web Developer for Computer Science Mentors, I collaborate on building and maintaining features for a mentoring platform—designing relational database models, resolving merge conflicts, and implementing RESTful APIs using Django to streamline student waitlists and improve the user experience.

### Data Structures and Algorithms Mentor @ Computer Science Mentors
Jan 2024 – Jan 2024 | San Francisco Bay Area
As a Data Structures and Programming Mentor, I host weekly sections to support and mentor women in computer science on core software engineering fundamentals—like data structures, algorithms, and OOP.

### Artificial Intelligence Undergraduate Course Staff @ University of California, Berkeley
Jan 2024 – Jan 2024 | Berkeley, California, United States
As an Artificial Intelligence Undergraduate Course Staff at UC Berkeley, I supported students of varying background in mastering advanced AI topics by tailoring guidance to their existing knowledge. I also helped them implement algorithms like epsilon-greedy Q-learning and models such as RNNs and transformers, while teaching strategies to overcome ambiguity and complexity in programming.

### Perception Research Associate @ Robot Open Autonomous Racing
Jan 2024 – Jan 2024 | San Francisco Bay Area
As a Perception Research Associate at Robot Open Autonomous Racing, I developed the perception stack for autonomous vehicles, focusing on object detection using LiDAR and camera sensors. Through close collaboration with my team, we optimized sensor data processing to ensure real-time performance and enhance the vehicle's ability to navigate its environment.

### Mac Genius @ Apple
Jan 2022 – Jan 2023 | San Francisco Bay Area
As a Genius, I consistently repaired Apple hardware with high success, resolved complex customer issues, and mentored team members on troubleshooting, documentation, and repair strategies.

### Technical Expert @ Apple
Jan 2022 – Jan 2022 | San Francisco Bay Area
As a Technical Expert, I conducted detailed evaluations to identify and resolve hardware issues, maintaining a high repair success rate, while actively sharing knowledge to enhance team efficiency.

### Technical Specialist @ Apple
Jan 2021 – Jan 2022 | San Francisco Bay Area
As a Technical Specialist, I helped customers build stronger relationships with their devices by breaking down complex technical concepts into clear, understandable terms. I led the store in completing technical appointments, demonstrating both expertise and a commitment to customer satisfaction.

### Specialist @ Apple
Jan 2020 – Jan 2021 | San Francisco Bay Area
As a Specialist, I focused on building meaningful relationships with clients, understanding their needs, and providing tailored solutions that fostered trust and loyalty. I worked closely with cross-functional teams to create positive, collaborative experiences that went above and beyond client expectations.

### Retail Service Advisor @ Apple
Jan 2020 – Jan 2021 | San Francisco Bay Area
As a Retail Service Advisor, I deescalated calls with aggravated customers, using relational techniques to identify and address their concerns. I resolved over 84% of issues on the first call by thoroughly addressing complex customer service challenges.

### Seasonal (Operations) Specialist @ Apple
Jan 2019 – Jan 2020 | San Francisco Bay Area
As a Seasonal Operations Specialist, I streamlined product delivery and introduced inventory management improvements to boost efficiency and customer satisfaction during peak sales periods.

### Behavioral Health Technician @ Kadiant
Jan 2019 – Jan 2020 | San Francisco Bay Area
As a Behavioral Health Technician at Kadiant, I supported therapy outcomes by conducting trials, collecting data, and facilitating communication between clients, families, and directors. I also helped clients develop communication strategies to better advocate for their needs.


## Education
### Bachelor of Arts - BA in Data Science, Cognitive Science, concentration in Robotics, minor in Computer Science
University of California, Berkeley


## Contact & Social
- LinkedIn: https://linkedin.com/in/faithdennis

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Source: https://flows.cv/faithdennis
JSON Resume: https://flows.cv/faithdennis/resume.json
Last updated: 2026-03-29