M.Sc. in Artificial Intelligence GPA: 3.74/4.0
Thesis: Bone Age Assessment for Pediatric Patients Application
Relevant Courses:
Image Processing (3.0/4.0), Deep Learning (3.7/4.0), Machine Learning (4.0/4.0),
Neural Network (3.20/4.0), Evolutionary computing (4.0/4.0).
Bachelor of Engineering - BE in Computer Engineering GPA: 3.31/4.0
Thesis: Build a custom and powerful CMS for managing class, student, and scores.
Developed with PHP and
MySQL, Score: 3.87/4.0
June. 2023 - Present, Project Owner, Lead Back-end Developer, Machine Learning Engineer,
- Responsible for developing an AI-based Assistance with LLM models. (More details will be available soon)
- Building connection with more than 7 different services. (More details will be available soon)
Jan-Feb. 2023 - May. 2023, Project Owner, Python Developer, MLOPS Coordinator,
- Responsible for developing a flow-based/Intelligence chatbot using RASA.
- Building a large-scale chatbot to connect users with AI services.
- Developing 'OneUpBot' with 1M request per one hour (1M-req/hour) in 3 different platforms.
Aug. 2022 - Jan. 2023, Machine Learning Engineer, Python Developer,
- Developing new AI applications such as DreamFashion, StyleAI, etc.
- Developing API application for AI service to provide concurrent communication between AI and another back-end service.
- Dockerizing AI and API applications for clustering and scaling along with CI/CD.
- Developing AI application based on academic articles and bring them into production level.
Developing new features for the "Security Intelligent Assistance system" based on image processing.
Improving Accuracy on Person Tracking System up to 10%.
Optimized pipeline speed over 18% along with new features.
Enhancing pipeline by replacing PyTorch model with ONNX and TRT.
Digital Image Processing class on supervised by Dr. Hamid Hassanpour (Prof. at Shahrood University of Technology). Others are Neural Networks, Machine Learning, and Deep Learning.
On supervised by Dr. Hamid Hassanpour (Prof. at Shahrood University of Technology).
I learned a bunch of stuff on this path and field of Image Processing and Human Authentication.
So This is where should I go for my thesis. Wait for the noise, news will come up soon.
I was responsible for managing a small team.
Planning and managing members and team's tasks for three projects.
Associating with Lead project management to improve the team's performance.
Apr. 2021 - Present
- Working as a Python Developer, Machine Learning Engineer, and ML Ops Engineer.
- Also, I'm running the company and managing the team.
Oct. 2020 - Mar. 2021
- Working as a Python Developer in the company.
- Learning and Exploring Machine Learning and Deep Learning to satisfy the needs of the company.
- I Developed many open-source projects and private projects. (Some are available at my GitHub).
- Built a Trading Bot with MQL4 and Python.
- Built a Betting Bot with Python based on web scraping.
Dec. 2018 - Sep. 2020
- I was responsible for the development of the back-end of the website with Laravel.
- Also, I experienced a little of DevOps and worked with Docker and Linux.
- I contributed to the development of the UI and UX in some projects.
EF SET English Certificate 76/100 (C2 Proficient), EF Standard English Test
Deep Learning Specialization, DeepLearning.AI & Coursera
DeepLearning.AI TensorFlow Developer Professional Certificate, (In progress), DeepLearning.AI & Coursera
Generative Adversarial Networks (GANs) Specialization, (In progress), DeepLearning.AI & Coursera
Google UX Design Professional Certificate, (In progress), Google & Coursera
Google Project Management: Professional Certificate, (In progress), Google & Coursera
I was able to make that happen.
EF Standard English Test (EF SET)
EF SET English Certificate 76/100 (C2 Proficient)
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Build and train deep neural networks, identify key architecture parameters, implement vectorized neural networks and deep learning to applications
Train test sets, analyze variance for DL applications, use standard techniques and optimization algorithms, and build neural networks in TensorFlow
Build a CNN and apply it to detection and recognition tasks, use neural style transfer to generate art, and apply algorithms to image and video data
Build and train RNNs, work with NLP and Word Embeddings, and use HuggingFace tokenizers and transformer models to perform NER and Question Answering
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I was able to make that happen.
EF Standard English Test (EF SET)
EF SET English Certificate 76/100 (C2 Proficient)
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Generative Adversarial Networks (GANs) Specialization
Understand GAN components, build basic GANs using PyTorch and advanced DCGANs using convolutional layers, control your GAN and build conditional GAN
Compare generative models, use FID method to assess GAN fidelity and diversity, learn to detect bias in GAN, and implement StyleGAN techniques
Use GANs for data augmentation and privacy preservation, survey GANs applications, and examine and build Pix2Pix and CycleGAN for image translation
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Follow the design process: empathize with users, define pain points, ideate solutions, create wireframes and prototypes, test and iterate on designs
Understand the basics of UX research, like planning research studies, conducting interviews and usability studies, and synthesizing research results
Apply foundational UX concepts, like user-centered design, accessibility, and equity-focused design
Create a professional UX portfolio that includes 3 end-to-end projects: a mobile app, a responsive website, and a cross-platform experience
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Gain an immersive understanding of the practices and skills needed to succeed in an entry-level project management role
Learn how to create effective project documentation and artifacts throughout the various phases of a project
Learn the foundations of Agile project management, with a focus on implementing Scrum events, building Scrum artifacts, and understanding Scrum roles
Practice strategic communication, problem-solving, and stakeholder management through real-world scenarios
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