Nathaniel – AWS, Python, OpenAI

It's an AI-powered filmmaking platform that lets creators generate cinematic-quality video, sound, and VFX using natural language prompts.

• Built and launched the platform from scratch, including front-end, back-end, AI integration, and production pipeline, as a solo founder and engineer.
• Delivered functional alpha within 30 days, showcasing whole scene generation with prompt-to-video capabilities and character consistency.
• Developed a Character Engine for consistent emotional arcs across scenes using natural language descriptions and prompt chaining.
• Engineered a chunked scene generator for Veo 3 and Sora-style models to maintain temporal and spatial continuity across 100+ cinematic shots.
• Integrated text-to-video, text-to-audio, and VFX pipelines to simulate IMAX-quality storytelling using generative AI.
• Created JSON-based prompt scripting for fine-tuned control of character behavior, camera work, lighting, and dialogue.
• Designed agent-based pipelines to orchestrate multimodal generation with LLM planning, reducing human editing time by 80%.

It's an AI-powered recruiting platform that connects top-tier engineers with high-growth startups. The platform uses intelligent automation, machine learning, and data-driven matchmaking to streamline the hiring process and eliminate noise.

• Designed and built the platform architecture using React, FastAPI, and PostgreSQL.
• Led development of an AI-driven matching engine using OpenAI embeddings, vector search, and intelligent ranking logic.
• Integrated GPT-powered workflows for resume parsing, talent outreach, and auto-matching.
• Built automation tools for lead generation, CRM updates, and job intake.
• Trained and deployed ML models to improve match accuracy and reduce manual review.
• Managed scalable cloud infrastructure (AWS, Docker, Supabase) and set up CI/CD pipelines for fast deployment.
• Defined product roadmap, led sprint planning, and created internal dashboards for performance tracking.
• Drove business development - validated the product with startups and VCs, handled pricing, sales, and customer onboarding.
• Recruited and managed freelance developers and AI researchers.

It's a company that administers home and auto service contracts, handling claims and coverage management while third-party vendors handle sales and marketing.

• Designed and implemented internal tools to automate repetitive admin tasks, saving 100+ hours/month across teams.
• Contributed to the development of permission-controlled environments, navigating strict compliance frameworks.
• Created robust unit and integration test suites to ensure business-critical workflows ran reliably at scale.
• Worked within GitLab CI environments to enhance DevOps pipelines, reducing deployment friction.
• Proactively built visibility into systems using log analysis and solved critical production issues.
• Worked on feature development on the product to ship new features for this insurance product.

It's a VR headset by Meta that allows users to experience immersive games, apps, and virtual environments for entertainment, fitness, work, and social interaction.

• Developed and deployed automation workflows that reduced manual intervention in the Quest headset fulfillment pipeline, supporting a 3x increase in throughput during peak demand periods.
• Streamlined order processing systems, resulting in a 40% reduction in processing time and helping the logistics team meet SLA targets more consistently.
• Created in-house diagnostic and troubleshooting tools that empowered the customer service team to resolve common device issues without escalating to engineering, cutting resolution time by 60%.
• Enabled faster identification and resolution of hardware and software issues, improving the average customer support response time and boosting satisfaction scores.
• Collaborated with fulfillment, customer support, and product engineering teams to integrate tooling into daily operations, reducing inter-team dependencies and support ticket backlogs.