# Aminé June

> AI/ML Software Engineer

Location: San Francisco, California, United States
Profile: https://flows.cv/aminjune

I'm a full-stack AI/ML engineer at Viva AI, building real-time conversational AI Agents by integrating LLMs with speech recognition technologies. Moreover, I develop and maintain our web-based platform using React and Node.js.
My industry experience includes research at NVIDIA, where I trained generative image models and curated large-scale datasets for style-transfer applications. At MIT's Poggio Lab, I developed Reinforcement Learning models to replicate animal behavior in simulated environments to improve data-efficiency. 
I earned my M.Sc. in Interactive Arts and Technology from Simon Fraser University, focusing my thesis on generative AI for context-specific image and video generation. I enjoy turning complex AI innovations into practical, user-centered applications.

## Work Experience
### AI Software Engineer @ VIVA AI
Jan 2024 – Present | San Francisco Bay Area
Building real-time conversational AI agents by integrating LLMs (GPT, Llama) with speech-to-text and text-to-speech technologies, automating receptionist workflows: answering patient questions, handling calls/texts, and taking actions (booking/rescheduling appointments).
Developing and maintaining a full-stack web platform for dental practices using React.js (UI), Express.js (APIs), integrated Twilio (communications), Stripe (billing), and deployed scalable solutions using AWS (Lambda, SQS).
Ensuring software reliability through quality assurance and automated testing (Jest, Playwright).

### Graduate Student Researcher @ SFU School of Interactive Arts & Technology
Jan 2021 – Jan 2023
Evaluating text-to-image generative AI models to create sociopolitically charged visual arts

### Deep Learning Engineering Intern @ NVIDIA
Jan 2022 – Jan 2022 | remote
- Investigated CLIP's embedding space for text-guided style transfer in images.
- Curated a dataset of 1M original-stylized images using StyleGAN-NADA.
- Developed and trained a supervised U-Net DNN to generate style embeddings.
- Validated the network results through K-Nearest Neighbor analysis,
demonstrating parallel directions in embedding space for similar styles.

### Machine Learning Engineer, AI Project Manager @ Advanced Technologies Lab at FANAP
Jan 2020 – Jan 2021 | Tehran, Iran
- Project Manager of GyMirror: smart mirror using PoseNet for posture detection to score workouts and a digital bracelet to collect and transfer heartbeat data.
- Led Agile/Scrum team: Set milestones, allocated tasks, and ensured deliverables.
- Assembled and annotated a dataset of hundreds of carpet images to train a GAN,
creating the first AI-driven carpet design tool.
- Engineered a phone scam prevention API for ATMs using ONNX and PoseNet,
enhancing user security through posture analysis.

### Research Assistant @ Massachusetts Institute of Technology
Jan 2019 – Jan 2020
- Trained deep reinforcement learning models (DQN, A2C, Acktr) on simulated 3D environments created through DeepMindLab to replicate rat training trials.
- Conducted comparative analysis of data efficiency between RL agents and rats.
- Developed a system for automated behavioral experiments and data collection
using positional tracking and rat nose-poke detection using Arduino and sensors.

### Research Assistant @ Massachusetts Institute of Technology
Jan 2018 – Jan 2019
- Deployed and trained Dilated CNNs to increase receptive field for semantic
segmentation and increase ’insideness’ detection in a custom dataset to 99.8%.
- Generated a dataset of images specialized for insideness detection.
- Submitted the results as a ​paper​ for ICCV-2019.

### Undergraduate Researcher @ Sharif University of Technology
Jan 2017 – Jan 2019
• Investigated Protein Secondary Structure Prediction using sequence modeling, and deep neural networks. 
• Programmed a machine learning algorithm utilizing combinations of CNN, RNN, and GAN.

### Teaching Assistant @ Sharif University of Technology
Jan 2018 – Jan 2018 | Tehran Province, Iran
Designed and graded homework and quiz problems for the subject “Engineering Probability and Statistics”, for two semesters.

### Software Engineer Intern @ Simulated Medical Experiences (SiMedix)
Jan 2018 – Jan 2018 | Tehran Province, Iran
• Developed a network based protocol for real-time streaming of mesh movement to improve graphics.
• Designed various plugins on the SOFA framework, for sending and receiving data, and changing sizes of meshes.

### Software Engineer Intern @ HodHod Messaging Application
Jan 2016 – Jan 2016
Developed an API for the advertisement server which allowed interactions with user profiles and their medias; implemented in Javascript and used MongoDB as a database.


## Education
### Master of Science - MS in Interactive Arts and Technology
SFU School of Interactive Arts & Technology
Jan 2021 – Jan 2023

### Bachelor's degree in Computer Engineering
Sharif University of Technology
Jan 2015 – Jan 2020

### Visiting Student in Department of Brain and Cognitive Sciences
Massachusetts Institute of Technology
Jan 2019 – Jan 2020


## Contact & Social
- LinkedIn: https://linkedin.com/in/aminejune
- Website: https://amine.june.art

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Source: https://flows.cv/aminjune
JSON Resume: https://flows.cv/aminjune/resume.json
Last updated: 2026-03-23