# Kaan Eren

> Former SWE Intern @Studyfetch | Software Engineer | CS @Pace | Cloud & Distributed Systems | RAG & Agentic AI | Full-Stack & Backend

Location: United States, United States
Profile: https://flows.cv/kaan

Portfolio: https://kaan-portfolio.netlify.app/
Github: https://github.com/kaane5662

I’m a software engineer with over 2 years of experience focused on building scalable cloud and AI-powered systems, with experience developing production SaaS platforms used by thousands of users.

At Studyfetch, I worked on distributed data pipelines, AI-driven recommendation systems, and full-stack platforms that scaled to 100K+ users and increased revenue and engagement. I’ve built, containerized, and deployed services using FastAPI, Django, .NET, React, and Next.js on AWS and GCP, supported by automated CI/CD pipelines with Docker and GitHub Actions.

My recent projects include Voicesights, an AI meeting intelligence platform with RAG-based semantic search, agentic workflows, and cloud-native infrastructure, as well as other products integrating OpenAI, Pinecone, and scalable backend services.

I enjoy working on complex problems involving backend architecture, distributed systems, cloud infrastructure, and AI automation, and I’m especially interested in roles where I can contribute to building reliable, high-impact products.

I'm eager to bring innovative and impactful software products to life. 📫 Feel free to connect or reach out: kaaneren495@gmail.com

## Work Experience
### Software Engineer Intern @ StudyFetch
Jan 2024 – Jan 2026
Led the full-stack development of Imagine Explainers, an UGC AI-driven educational platform, growing to 100K+ users and boosting MRR by 13% using Javascript, Next.js, Prisma, Stripe, AWS, and Anthropic. Built a multi-threaded social media data pipeline and analytics platform with Apify, Vercel, MongoDB, Next.js, and TypeScript, processing 1K+ videos hourly for 100+ Studyfetch creators, improving content strategy. Integrated personalized recommendation algorithms and RAG chatbots for videos with OpenAI embeddings and Pinecone, boosting session time by 18% and conversions by 4%.

### Chief Technology Officer @ SwftT
Jan 2024 – Jan 2024
As CTO of our ticketing marketplace, I lead a skilled team in designing and developing our platform. I focus on performance, security, and reliability, driving best practices and emerging tech for our success and growth.

### Research Assistant @ Pace University - Seidenberg School of Computer Science and Information Systems
Jan 2024 – Jan 2024 | Manhattan, New York, United States
Conducted a dataset analysis on financial transactions using Pandas to identify patterns and anomalies alongside 3 peers led by the Department Head of Software Engineering. Crafted supervised classification and regression machine learning models using SciKit-Learn to analyze AI's impact on financial institutions and predict trends.

### Software Engineer Intern @ BZ Marketing
Jan 2024 – Jan 2024
Developed a scalable Python-based RESTful API using Django and OpenAI to power AI-driven pay per click campaign and keyword generation, boosting client ad click-through rates by 20%. Designed a new landing page with a team of 5+ UI/UX designers and developers using React with Javascript and Figma, increasing conversion rate by 19% and boosting SEO scores by 14%. Optimized the CRM panel for consultants by adding a TTL cache for database queries with Redis, and rewriting data pipelines in PostgreSQL, improving load times by 90% and reducing API usage costs by 15%

### Software Engineer Internship @ Euphoria Entertainment
Jan 2023 – Jan 2023 | Remote
As a software developer at Euphoria, I specialized in optimizing web performance and enhancing user experience through innovative technologies. I successfully implemented server components and incremental site regeneration (ISR) with Next.js and TypeScript, achieving an 80% improvement in page load speeds. This initiative significantly enhanced user satisfaction, especially on older devices. Additionally, I led the implementation of an indexed MongoDB schema to support a new CRM panel, ensuring efficient data storage and quick retrieval for over 200 customers. I also developed HTTP routes using Express.js and JavaScript for new business logic, and introduced GraphQL schemas to facilitate seamless collaboration with the frontend team. These efforts accelerated development speeds by 40% and enabled faster feature delivery, contributing to our team's success in delivering high-quality solutions.

### Coding Instructor @ The Coder School Berkeley
Jan 2023 – Jan 2023 | Manhattan, New York, United States
Facilitated teaching HTML, CSS, Bootstrap, Javascript, and the DOM to a cohort of 30+ students to improve project engagement and boost coding confidence. Assisted students with debugging techniques and problem solving skills.


## Education
### Bachelor of Applied Science - BASc in Computer Science
Pace University - Seidenberg School of Computer Science and Information Systems
Jan 2023 – Jan 2026

### Pace University - Seidenberg School of Computer Science and Information Systems
Jan 2023 – Jan 2026


## Contact & Social
- LinkedIn: https://linkedin.com/in/kaan-eren-29600a304

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Source: https://flows.cv/kaan
JSON Resume: https://flows.cv/kaan/resume.json
Last updated: 2026-03-21