Alexey Zaytsev

Select client engagements: • AI Storyboarding Platform (Python backend): Integrated new image generation providers and refactored the generation abstraction layer across use cases (assets, scenes, inpainting). • Earnings Call Analysis & CEO Training: Engineered a low-latency transcription + LLM pipeline (AWS Transcribe / Deepgram) with speaker diarization and financial metrics extraction. Built a companion CEO training module that simulates analyst Q&A via TTS, transcribes spoken responses, and scores both content quality and delivery (WPM, filler words). • Open-source AI projects: congusto-chat, lovely-docs, pelican, latent-tools, nvml-tool.

Led development of the generative AI platform supporting image, video, and 3D model generation. Served tens of thousands of users, generating hundreds of thousands of images: • Architecture & Inference: Built an end-to-end generation pipeline. The frontend talked to the backend that talked to Supabase/PostgreSQL, which queued tasks via RabbitMQ. Distributed GPU workers picked up the jobs, generated the media, uploaded to S3 (served via CloudFront+imgproxy), and pinged a backend webhook, which finally streamed updates to the client via Server-Sent Events. • Model Fine-tuning: Extensive work with Stable Diffusion inference, custom model fine-tuning, and LoRAs to optimize generation quality and capabilities. • Custom NSFW Detector: Trained and deployed an EfficientNet classifier to replace off-the-shelf filters with high false-positive rates, reaching production-grade precision directly in the distributed GPU worker pipeline. • MLOps & DevOps: Orchestrated and scaled the distributed inference infrastructure.

Independent consulting focused on AI applications and prototypes. Select engagements: • Dog Finder: An experimental missing-dog app exploring both facial recognition and noseprint uniqueness. Trained EfficientNet with triplet loss. • SAT Practice Generator: A dynamically updating test prep system seeded by real data. Built with Streamlit, Airtable, and OpenAI LLMs-migrating from GPT-3.5 to GPT-4 largely solved our initial correctness and consistency struggles. • GPTEditor: An AI-assisted copywriting tool-like Cursor, but for prose. Users highlight a paragraph and instruct the LLM on how to rewrite it. Built with SvelteKit, Tiptap, and Supabase.

Led hardware product development from prototype to manufacturing across power electronics and embedded systems, while managing teams and production workflows in Shenzhen.

Built experimental tools and conducted wet-lab research in microfluidics and molecular biology, contributing to published scientific work.

Developed kernel-level software (drivers, bootloaders, BSPs) for telecom and storage systems across ARM, MIPS, and x86 platforms.