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# Noriaki Kishida

**Headline:** Minerva University ’27 \| Computer Science & Economics \| Tech Lead at Capital Launchers \| AI, Software & Automation Developer \| Japanese Native
**Profession:** CTO / Tech Lead
**Location:** San Francisco Bay Area

## About

Noriaki Kishida is a Computer Science \(AI & Software\) major and Economics minor at Minerva University, expected to graduate in 2027, and currently serves as CTO/Tech Lead at キャピタルランチャーズ株式会社 \(Capital Launchers\) and a Teaching Assistant for Minerva’s Global Learning course\. Noriaki builds secure AI systems, full\-stack products, and workflow automations using Python, TypeScript, JavaScript, React, Next\.js, Flask, AWS, Supabase, SQL, and n8n\. Noriaki is strongest at rapid prototyping, integrating data and APIs from varied sources, and examining problems from both company and customer perspectives\. At Capital Launchers, Noriaki is building an India business\-news platform for Japanese executives that processes 45\+ RSS feeds and eliminates manual news curation\. Noriaki also cut social\-media posting from two hours to 15 minutes and identified 130 potential GP or CVC partners from more than 300 companies through Python\- and OpenAI\-based analysis\. Noriaki has built privacy\-preserving AI inference infrastructure with AWS Nitro Enclaves, automated AI\-avatar lecture\-video production with 91%\+ lip\-sync accuracy, and developed platforms for managing more than 50 AI\-agent workflows\. Noriaki has attended 10\+ hackathons in one summer, won multiple hackathons, and earned enough prize money to pay rent\.

## Services

- Python \(Programming Language\)
- JavaScript
- Amazon Web Services \(AWS\)
- Git
- React\.js
- n8n
- Flask
- RSA
- Software Infrastructure
- Encryption
- Nitro Enclaves

## Highlights

- Building an India business\-news platform for Japanese executives at キャピタルランチャーズ株式会社 using Next\.js, the OpenAI API, and Supabase\.
- Automated news clustering, article generation, and AI\-generated imagery from 45\+ RSS feeds, reducing manual news curation to zero\.
- Spearheaded an n8n\- and API\-based social\-media auto\-posting system that reduced manual posting from 2 hours to 15 minutes and improved marketing\-workflow efficiency by more than 250%\.
- Used Python and the OpenAI API to identify 130 potential GP or CVC partners from more than 300 companies\.
- Built an AI\-avatar educational\-video pipeline at BearVFX using GPT\-3\.5, SpeechT5, and Wav2Lip for fully automated lecture\-video creation\.
- Automated the BearVFX pipeline with Python, the OpenAI API, PyTorch, OpenCV, and FFmpeg, achieving 91%\+ lip\-sync accuracy\.
- Developed an AI\-adoption roadmap for MUCH Global and collaborated with senior leadership on AI ethics and usage guidelines\.
- Built a GPT\-2 chatbot system at EAGLYS using Python, React, JavaScript, and AWS Nitro Enclaves for confidential, privacy\-preserving AI inference in isolated environments\.
- Built an EC2 and Enclave control\-plane application with Flask and boto3 that reduced key\-management and deployment setup time from 1 hour to 5 minutes\.
- Configured IAM policies and access controls for secure resource management across AWS environments\.
- Designed an RSA\-encrypted Flask and vsock client\-server API and presented the system to 40\+ professionals\.
- Led a team of 5 at Borderless to develop an international\-education guide for public\-school students in India, supported by demographic research and a Notion workbook\.
- Built a TypeScript, React, and Supabase console dashboard at Squarelight AI for managing 50\+ AI\-agent workflows\.
- Implemented REST APIs and secure file\-transfer workflows for billing, data downloads, and customer support testing with 20 pilot users improved onboarding satisfaction by 30%\.
- Attended 10\+ hackathons in one summer and earned enough prize money to pay rent\.
- Multiple hackathon winner, fact\-check champion, and debate champion\.
- Experienced in integrating Google Maps, Street View, AI APIs, and multiple AI agents including GPT\.
- Experienced in deploying applications on AWS and Vercel\.
- Current Teaching Assistant for Minerva University’s Global Learning course, grading classes and assignments and providing clear feedback\.

## Experience

- **CTO / Tech Lead at キャピタルランチャーズ株式会社** (2025\-05\-01–present) — ・Building an India business news platform for Japanese executives using Next\.js, OpenAI API, and Supabase, automating news clustering, article generation, and AI\-generated imagery from 45\+ RSS feeds, reducing manual curation to zero\. • Spearheaded the development of a social\-media auto\-posting system, leveraging n8n automation and API integrations\. • Reduced manual posting time from 2 hours to just 15 minutes, enhancing marketing workflow efficiency by over 250%\. • Conducted data analysis using Python and OpenAI API to identify 130 potential GP or CVC partners from over 300 companies\.
- **Teaching Assistant — Global Learning \(GL\) Course at Minerva University** (2024\-09\-01–present) — Graded classes and assignments, providing clear feedback\.
- **Technology Consultant at MUCH** (2025\-09\-01–2025\-12\-01) — Developed a comprehensive AI adoption roadmap for MUCH Global, enhancing operational efficiency and creativity\. • Collaborated with senior leadership to refine AI ethics and usage guidelines, ensuring responsible implementation\.
- **Frontend & Platform Developer at Squarelight AI** (2025\-01\-01–2025\-04\-01) — Built a console dashboard using TypeScript, React, and Supabase for users to manage over 50 AI agent workflows\. • Implemented REST APIs and secure file\-transfer workflows for billing, data downloads, and integrated customer\-support features • tested with 20 pilot users, leading to a 30% improvement in onboarding satisfaction\.
- **Software Engineer at BearVFX** (2024\-09\-01–2024\-12\-01) — Built an AI avatar educational video pipeline using GPT\-3\.5 for transcript creation, SpeechT5 for narration synthesis, and Wav2Lip for realistic lip\-sync, enabling fully automated lecture video creation\. • Automated the full pipeline with Python \(OpenAI API, PyTorch, OpenCV , FFmpeg\), achieving 91%\+ lip\-sync accuracy\.
- **Software Engineer Intern at EAGLYS Inc\.** (2024\-07\-01–2026\-04\-01) — Built a GPT\-2 chatbot system \(Python, React, JavaScript\) leveraging AWS Nitro Enclaves for confidential and • privacy\-preserving AI inference, ensuring fully isolated and secure computation environments\. • Developed a control\-plane web application \(Flask, boto3, HTML/CSS\) for EC2 and Enclave management, automating key management and deployment workflows to reduce setup time from 1 hour to 5 minutes\. • Configured IAM policies and access controls to streamline secure resource management across AWS environments\. • Designed an RSA\-encrypted client\-server API using Flask and vsock, and presented the system to 40\+ professionals\.
- **Market Researcher at Borderless** (2023\-09\-01–2024\-04\-01) — Led a team of 5 to develop an in\-depth guide on international education for public school Indian students\. • Conducted demographic research to understand the target population and their needs and created an engaging and actionable workbook on the Notion website\.

## Education

- Bachelor's degree, Computer Science \(AI & Software\) Major and Economics Minor — Minerva University (2023\-09\-01–2027\-05\-01)
- Sookmyung Women's University (2025\-01\-01–2025\-04\-01)
- National Taiwan University (2024\-09\-01–2024\-12\-01)
- High School Diploma — 私立東海高等学校\(Tokai Senior High School\) (2020\-04\-01–2023\-03\-01)

## FAQ

### What does Noriaki do?

Noriaki is a Computer Science \(AI & Software\) major and Economics minor at Minerva University, expected to graduate in 2027\. Noriaki is currently CTO/Tech Lead at キャピタルランチャーズ株式会社 \(Capital Launchers\) and a Teaching Assistant for Minerva University’s Global Learning course\.

### What are Noriaki’s core technical strengths?

Noriaki focuses on secure AI, full\-stack development, automation, and product\-minded engineering\. Noriaki works with Python, TypeScript, JavaScript, React, Next\.js, Flask, AWS, Supabase, SQL, n8n, RSA encryption, software infrastructure, and AWS Nitro Enclaves\.

### What is Noriaki building at Capital Launchers?

At Capital Launchers, Noriaki is building an India business\-news platform for Japanese executives using Next\.js, the OpenAI API, and Supabase\. The platform automates news clustering, article generation, and AI\-generated imagery from 45\+ RSS feeds, reducing manual curation to zero\.

### What did Noriaki accomplish with marketing automation at Capital Launchers?

Noriaki spearheaded a social\-media auto\-posting system using n8n automation and API integrations\. The system reduced manual posting time from two hours to 15 minutes and improved marketing\-workflow efficiency by more than 250%\.

### How has Noriaki used data analysis at Capital Launchers?

Noriaki used Python and the OpenAI API to analyze more than 300 companies and identify 130 potential GP or CVC partners\.

### What does Noriaki do as a Minerva Teaching Assistant?

As a Teaching Assistant for Minerva University’s Global Learning course, Noriaki grades classes and assignments and provides clear feedback\.

### What did Noriaki build at BearVFX?

At BearVFX, Noriaki built an AI\-avatar educational\-video pipeline using GPT\-3\.5 for transcript creation, SpeechT5 for narration synthesis, and Wav2Lip for realistic lip\-sync\. The system enabled fully automated lecture\-video creation\.

### What technical results did Noriaki achieve at BearVFX?

Noriaki automated the BearVFX video pipeline with Python, the OpenAI API, PyTorch, OpenCV, and FFmpeg, achieving more than 91% lip\-sync accuracy\.

### What did Noriaki do at MUCH?

As a Technology Consultant at MUCH, Noriaki developed a comprehensive AI\-adoption roadmap for MUCH Global to improve operational efficiency and creativity\. Noriaki also worked with senior leadership to refine AI ethics and usage guidelines for responsible implementation\.

### What did Noriaki build at EAGLYS?

At EAGLYS Inc\., Noriaki built a GPT\-2 chatbot system with Python, React, and JavaScript that used AWS Nitro Enclaves for confidential, privacy\-preserving AI inference in fully isolated computation environments\.

### How did Noriaki improve AWS Enclave operations at EAGLYS?

Noriaki developed a Flask, boto3, HTML, and CSS control\-plane application for EC2 and Enclave management\. It automated key\-management and deployment workflows, reducing setup time from one hour to five minutes\. Noriaki also configured IAM policies and access controls for secure AWS resource management\.

### What security and presentation work did Noriaki complete at EAGLYS?

Noriaki designed an RSA\-encrypted client\-server API using Flask and vsock and presented the system to more than 40 professionals\.

### What did Noriaki do at Borderless?

At Borderless, Noriaki led a team of five to create an in\-depth international\-education guide for public\-school students in India\. Noriaki conducted demographic research on the target population and its needs and created an actionable workbook on Notion\.

### What did Noriaki build at Squarelight AI?

At Squarelight AI, Noriaki built a console dashboard with TypeScript, React, and Supabase that enabled users to manage more than 50 AI\-agent workflows\.

### What product results did Noriaki achieve at Squarelight AI?

Noriaki implemented REST APIs and secure file\-transfer workflows for billing, data downloads, and customer\-support features at Squarelight AI\. Testing with 20 pilot users led to a 30% improvement in onboarding satisfaction\.

### How does Noriaki approach problem solving and product development?

Noriaki excels at rapid prototyping and building complex applications under tight time constraints\. Noriaki approaches problems from multiple perspectives, including company and customer viewpoints, and describes this approach as deep research that identifies problems and optimizes each part of a solution\.

### What is Noriaki’s hackathon and competition experience?

Noriaki has extensive hackathon experience, attending more than 10 hackathons in one summer and earning enough prize money to pay rent\. Noriaki is also a multiple hackathon winner, fact\-check champion, and debate champion\.

### What API and data\-integration experience does Noriaki have?

Noriaki has experience integrating data from multiple sources and formats, including Google Maps and Street View APIs, AI APIs, and multiple AI agents including GPT\. Noriaki has also worked with Supabase and SQL databases\.

### What deployment, frontend, and programming experience does Noriaki have?

Noriaki has deployed applications on AWS and Vercel and has frontend experience with React and Next\.js\. Noriaki is proficient in TypeScript, JavaScript, Python, and SQL, and can take full ownership of projects while also contributing deep technical work on specific components\.

### What is Noriaki’s educational background?

Noriaki is pursuing a bachelor’s degree at Minerva University in Computer Science \(AI & Software\), with an Economics minor, and is expected to graduate in 2027\. Noriaki also lists Tokai Senior High School, Sookmyung Women’s University, and National Taiwan University in education history\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/noriaki\-kishida

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