Nikolai Zakharov — Senior Applied ML / GenAI Engineer on Nikolai Zakharov

About & Contact

Thu, 30 Jul 2026 00:00:00 +0000

Nikolai Zakharov (罗一阳)

Senior Applied ML / GenAI Engineer working across LLM, multimodal, generative, and autonomous systems.

I build transformer systems from data and distributed training through evaluation and production inference. My work spans LLM distillation and synthetic data, 3D generative modeling, autonomous-driving planning, closed-loop evaluation, and efficient speech systems. I am now focusing that experience toward embodied AI, where model quality must hold up in real-world feedback loops.

Nikolai Zakharov — CV

Thu, 30 Jul 2026 00:00:00 +0000

Senior Applied ML / GenAI Engineer

Shanghai · Open to worldwide remote work and relocation
Email: nikolai.zakharov92@gmail.com · LinkedIn · GitHub

English CV (PDF) → | 中文简历 PDF → | 中文简历 →

Summary

Senior Applied ML / GenAI Engineer with 8+ years spanning academic ML research and industry. Delivered LLM, multimodal, autonomous-driving, speech, and 3D generative systems across model training, evaluation, optimized inference, and infrastructure; Tsinghua M.S.

Professional Experience

AI Startup — ML Engineer

Generative Models & ML Platform · May 2026 – Jul 2026 · Shanghai

罗一阳（Nikolai Zakharov）— 中文简历

Thu, 30 Jul 2026 00:00:00 +0000

高级应用机器学习与生成式AI工程师

上海 · 接受全球远程工作及搬迁
邮箱：nikolai.zakharov92@gmail.com · LinkedIn · GitHub

中文简历 PDF → | English CV →

个人简介

高级应用机器学习与生成式AI工程师，拥有8年以上学术机器学习研究与产业经验。交付过大语言模型、多模态、推荐、语音、自动驾驶及三维生成系统，覆盖模型训练、评测、推理优化及机器学习基础设施；清华大学计算机硕士。

工作经历

AI创业公司 — 机器学习工程师

生成模型与ML平台 · 2026.05–2026.07 · 上海

参与牙冠生成模型研发，并构建配套的多GPU训练与Kubernetes/Kubeflow基础设施。

VK — 机器学习工程师 / 应用研究

社交媒体平台 · 2025.01–10；2026.02–04 · 莫斯科

构建 LLM描述生成服务，提升音乐视频推荐相关性；设计三阶段管道（蒸馏训练元数据提取器、音频-文本相关性预测器）；部署 item2item推荐质量仪表板 用于团队评测。
使用正则弱标注与LLM生成数据构建 剧集识别、标准化及元数据提取；相似视频推荐的 TVT提升4.5–6.3%；利用内容模型信号过滤同集重复上传，重复结果率从 60%降至7%。

Kandinsky Lab（Sber AI）— 高级机器学习工程师

GenAI · 2025.11–2026.01 · 莫斯科

构建多LLM合成数据流程，使用LoRA微调Qwen用于用户提示词增强，并在A100集群上线可复现的多GPU图生视频评测。

蔚来 NIO — 算法工程师 / 自动驾驶

智能电动车与自动驾驶 · 2023.07–2025.01 · 上海

训练端到端 Transformer轨迹规划模型，融合地图与视觉上下文，使用分布式训练并以Hydra管理实验。
开发基于规则的 C++实时事件检测与标注模块，接入开环/闭环评测，自动收集问题场景用于分析。

T-Bank — 机器学习工程师 / 语音技术

数字银行 · 2021.09–2023.02 · 莫斯科

Paper Clusterer: An Obsidian Plugin for Research Note Organization

Sat, 14 Mar 2026 00:00:00 +0000

Paper Clusterer: Turn Your Obsidian Vault into a Research Map

The Problem: A Graveyard of Research Notes

My Obsidian vault had become a mess. Hundreds of paper notes, lecture materials, and research ideas—scattered across folders, poorly connected, and increasingly difficult to navigate. Sound familiar?

As researchers, we consume vast amounts of information. We take notes, highlight papers, jot down ideas. But without proper organization, this knowledge remains fragmented and underutilized.

From Sound to Meaning: Leveraging Audio Language Models for Music Relevance Assessment

Sat, 07 Mar 2026 00:00:00 +0000

How foundation audio models and Audio LLMs bridge the gap between acoustic similarity and perceptual relevance

[AI for all] What is Intelligence?

Wed, 29 Jan 2025 00:00:00 +0000

[AI for all] What is Intelligence? 🤔

So what exactly is intelligence? Intelligence is what makes us “Homo sapiens” - literally wise humans, thinking beings. What makes us intellectual is the fact that we can expect that the result of our actions will lead us to achieve our goals.

But what makes machines intelligent? The same thing - their actions should lead to achieving their goals. The question is that we set the goals, and machines learn to optimize the process of achieving these goals in the best way. And we must be absolutely sure that we set the goals correctly, otherwise we can over-optimize, especially if (when?) we invent machines that will be much smarter than us and will quite be able to optimize us too :)

Beijing Car Visa: The Capital's Invisible Border

Tue, 28 Jan 2025 00:00:00 +0000

Beijing Car Visa: The Capital’s Invisible Border

The role of capital cities is crucial in many countries, but in nations with governance structures similar to China—where the Party plays a leading role and the political system closely resembles the Soviet model—the capital’s role becomes particularly significant.

While Russians joke about the “rubber city” of Moscow and its hyper-centralization, moving to or even driving to Moscow isn’t particularly problematic. You can drive into Moscow with regional license plates without major issues.

Education in China: From Disappointment to Opportunity

Mon, 27 Jan 2025 00:00:00 +0000

Education in China: From Disappointment to Opportunity

This might be a bit rambling, but here we go.

The Initial Dream

My biggest disappointment at that time was probably my university experience. One of my main motivations for coming to China to study was to continue developing in mechanical engineering—to see how Chinese engineers work and how factories operate.

Reality check: I didn’t set foot in a Chinese factory until 2024… but I’m getting ahead of myself.

Thoughts on Learning Chinese

Sun, 26 Jan 2025 00:00:00 +0000

Thoughts on Learning Chinese

Yes, I speak, write, and understand Chinese. On one hand—it sounds impressive. On the other—why bother, really?

The Practical Truth

For the most part, Chinese turned out to be useful more for personal development (and for talking with my wife—obviously :)). Is it frustrating that the language is barely needed at work? I think so. Though when it was needed, Chinese corporate culture always came as a bonus… I should probably write about that separately sometime.