# Kevin Takano

Kevin Takano is a remote worker on Himalayas, Senior Machine Learning Engineer at QuintoAndar, based in Brazil.

Source: https://himalayas.app/@kevintakano

```text
Senior Machine Learning Engineer at QuintoAndar building LLM evaluation workflows that improved classification quality by 10%.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | Brazil |
| Authorized to work in | Brazil |
| Job categories | Machine Learning Engineer, AI Engineer, Data Scientist, Data Engineer, Backend Engineer |
| Skills | Machine Learning, Agentic AI, LLM Evaluation, AI Agents, LLM Applications, Recommendation Systems, Forecasting, MLOps, RAG, Prompt Engineering, GuardRails, Feedback Loops, Model Monitoring, Feature Engineering, Causal Inference |
| Portfolio | https://github.com/ktakanopy/capy-appointment-bot |
| LinkedIn | https://linkedin.com/in/ktakanopy |

## About

```text
At QuintoAndar, I built a production LLM evaluation workflow for rent inspections and a feedback loop that improved classification quality by 10%. I also created multi-step conversation scoring pipelines that raised agentic workflow quality scores from 0.48 to 0.90.

As an independent AI/ML Engineer and Data Scientist, I built a medical appointment FAQ agent that improved response quality and cut latency in half, along with a CatBoost conversion model that reduced costs by 50%. Earlier, I led an embedding recommender system at Hotmart that increased click conversion to 8.6% and drove 3.8x more purchases.
```

## Experience

### Senior Machine Learning Engineer (current)

[QuintoAndar](https://himalayas.app/companies/quintoandar). May 2025 - Present

```text
Built a production LLM evaluation workflow for rent inspections and an LLM-as-judge feedback loop that improved classification quality by 10%. Analyzed internal AI-agent architecture and built multi-step conversation scoring pipelines, improving quality score from 0.48 to 0.90.
```

Skills: LangGraph, Langfuse, DSPy, PostgreSQL, AWS-SQS, LLM-Evaluation, Agentic-Workflows, Monitoring

### AI/ML Engineer | Data Scientist (Freelance) (current)

Independent. Oct 2024 - Present

```text
Built an FAQ agent for medical appointment scheduling, improving response quality by 10–15% and cutting latency in half. Developed an end-to-end CatBoost conversion model reducing costs by 50% and built Twitter and Telegram LLM agents with ElizaOS plugins.
```

Skills: AI-Agents, LLM-Evaluation, GuardRails, CatBoost, TypeScript, NodeJS, OpenAI, OpenRouter, ElizaOS, RAG, Prompt-Engineering

### Machine Learning Engineer | Data Scientist

[Nubank](https://himalayas.app/companies/nubank). May 2024 - May 2025

```text
Built a Scala and Spark calibration model for credit-card interest-rate prediction, reducing incorrect predictions by 80%. Improved engineering velocity with reusable libraries, unit tests, and faster CI/CD, and connected model behavior to business outcomes through automated reporting pipelines.
```

Skills: Scala, Spark, TensorFlow, Docker, CI-CD, Time-Series-Analysis, Causal-Inference, Report-Automation

### Machine Learning Engineer | Data Scientist

Hotmart. Apr 2022 - May 2024

```text
Led an end-to-end embedding recommender system on SageMaker and Kubernetes, increasing click conversion to 8.6% versus a 2.07% baseline and driving 3.8x more purchases. Built a treasury forecasting system for PIX and billet payments that reduced error by 5% and re-architected chatbot context and document-processing flows.
```

Skills: Sagemaker, Kubernetes, Python, RAG, LLM, Java, Spring-Boot, Lang-Chain, MLOps, Recommendation-Systems, Forecasting

### Data Scientist

Instituto de Pesquisas Eldorado. Jan 2020 - Jan 2022

```text
Built dashboards, supervised and unsupervised models, and BigQuery pipelines for digital-bank acquisition; clustering reached 5% conversion versus 1% from random targeting.
```

Skills: BigQuery, Dashboarding, Supervised-Learning, Unsupervised-Learning, Clustering

### Data Engineer

[Linx](https://himalayas.app/companies/linx). Jan 2018 - Jan 2020

```text
Built Scala and Spark pipelines for segmentation, identity resolution, and recommendations; reduced AWS ingestion jobs from hours to minutes with incremental processing.
```

Skills: Scala, Spark, AWS, Data-Pipelines, Segmentation, Identity-Resolution, Recommendations

### Back-End Software Engineer

SIDIA - Samsung Instituto de P&D da Amazonia. Jan 2016 - Jan 2018

```text
Developed Java, C++, and Node.js components for Android and Ginga middleware, plus CI and test automation that cut test runtime from hours to seconds and reduced library size by 50%.
```

Skills: Java, C++, NodeJS, Android, Ginga, CI-CD, Testing-Automation

## Education

### Universidade Federal do Amazonas

Master's in Informatics, Informatics. 2019 - 2022

```text
Master's in Informatics with a focus on Machine Learning, completed in 2022.
```

### Universidade Federal do Amazonas

Bachelor of Computer Science, Computer Science. 2012 - 2016

```text
Bachelor of Computer Science, completed in 2016.
```

## Tech stack

- Kubernetes
- PostgreSQL
- Node.js
- Spring Boot
- Python
- Java
- C++
- Scala
- TensorFlow
- PyTorch
- Streamlit
- FastAPI
- TypeScript
- Docker
- Airflow
- GuardRails
- SQL
- CatBoost
- LangChain
- Langfuse
- DSPy
- LangGraph
- OpenRouter
- AWS
- OpenAI

To contact Kevin, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).

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