Summary
Overview
Work History
Education
Skills
Timeline
Generic

Alp Altug

Berkeley

Summary

Motivated recent graduate with a solid academic foundation and hands-on project experience, specializing in innovative solutions and collaborative teamwork. Demonstrates strong technical expertise and thrives in dynamic environments that promote personal and professional growth. Deeply-committed to contributing meaningfully to a forward-thinking organization while continuing to develop skills alongside the company.

Overview

3
3
years of professional experience

Work History

Chief Technology Officer (Co-Founder)

Shuffl Mobility
Berkeley
07.2024 - Current
  • Developed a mobile application for iOS and Android for ride-hailing from scratch.
  • Utilized widely-used tools such as Supabase, Flutter in a conventional client-server architecture.
  • Added the backend functionality for finding rides and matching like-minded people according to their user model. Trained a model on existing virtual user profiles, web scraping. Built the architecture of and trained the model and separated client-side from the model.
  • Created data collection techniques from the user as they use our app and as they sync their social media platforms using deployable ML pipelines.

Software Engineer AI Lead

11Sight
San Francisco
05.2024 - Current
  • Lead in the development and improvement/debugging aspects of an AI agent designed to help customers make appointments. Worked on improving the accuracy of capture by using methods such as fine-tuning and "top-level freeze."
  • Help built a platform for deploying production-level ML models using google cloud computing technologies into production more efficiently to handle the influx of incoming customers.
  • Set up a telephony line using a third-party company where we could relay customer conversations to ship the product.
  • Conducted testing of software and systems to ensure quality and reliability.
  • Built interactive dashboards for displaying results of AI projects to help our QA, suiting theor specific needs.

Quantitative Researcher

Wheeler Water Institute (University Lab)
Berkeley
08.2023 - Current
  • Evaluated existing policies and practices related to research initiatives using generative AI.
  • Learned how to train models to restrict them on giving binary yes/no answers without losing accuracy in a domain-optimized way.
  • My technical results and findings that support our qualitative claims will all be published in scientific publications and journals as a co-author. We are currently in the process of writing the paper.
  • Created graphs and charts detailing data analysis results.

Quantitative Research Analyst Intern

Prime Trading LLC
Chicago
05.2023 - 08.2023
  • Developed predictive models for hedging techniques in options and futures trading.
  • Developed high-complexity and depth ML and diffusion models for high-frequency trading, and also worked on the post-trading analysis side of the process.
  • Identified trends in large data sets on CBOE trades on popular indexes using probability-based models that are descendants of the Hidden Markov Model to better highlight and understand the trends.
  • Created dashboards for visualizing quantitative research results.

Software Systems Research Intern

Bell Labs
Murray
06.2022 - 08.2022
  • My group, lead by Thomas Woo, specialized in researching Web3 and how to build production-level tools leveraging blockchain technology.
  • I built a fully automated and secure auction platform that is running purely on blockchain. I had experience with building on the Ethereum chain in the process, setting up the smart contracts, and further implementing the payment gateway for the same service.
  • I presented experimental findings in presentations with graphs, charts, and other visual aids to the Bell Labs community at the end of my internship.

Education

Bachelor of Science - Electrical Engineering And Computer Science

University of California, Berkeley
Berkeley, CA
05-2024

Skills

  • Adept at software development, testing and deployment (Full CICD pipeline)
  • Fluent in C, C, C#, Python, Java, JavaScript
  • Experienced in the full model creation pipeline, from architecture to training
  • Experience in big data technologies and cloud computing
  • Statistical modeling and analysis
  • Strong statistical background
  • Neural networks and neural network libraries like PyTorch, huggingface

Timeline

Chief Technology Officer (Co-Founder)

Shuffl Mobility
07.2024 - Current

Software Engineer AI Lead

11Sight
05.2024 - Current

Quantitative Researcher

Wheeler Water Institute (University Lab)
08.2023 - Current

Quantitative Research Analyst Intern

Prime Trading LLC
05.2023 - 08.2023

Software Systems Research Intern

Bell Labs
06.2022 - 08.2022

Bachelor of Science - Electrical Engineering And Computer Science

University of California, Berkeley

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