Hello, my name is

Sajjad
Rezvani-Khaledi

AI Developer, Instructor, PM
& Founder of LetsJoy (BB)

Languages

English: Advance
Toefl Overall: 91
(reading 25, listening 23, and speaking 21, writing 22)

Persian: Native

Skills

Machine learning & Deep learning (AI)

Python

C++

Matlab

Flask, HTML, Bootstrap, WordPress

Altium Designer & PCB design

Microcontroller Programming (ESP32, ARM, AVR)

RaspberryPi & Arduino & PLC Programming

Linux & git

AutoCAD, SolidWorks

My Experience

NOW

NeuroMatch Academy

2023-NOW

Darsam Academy

2020-NOW

TNM Electronics

2023

Shahid Beheshti University

2021-2023

Shahid Beheshti University

2021

Sajjadi Factory

2022

A European company

Educational Experience

I’ve studied Mathematics at Allameh Helli school and Electrical engineering at Shahid Beheshti University.

Publications and Patents

I am always interested in research and learn more in my fields of study.

The device we have presented is in the form of a connected network of smoke and dangerous gas detection devices centered on a single device that forms the Master-Slave architecture, and the sub-nodes of this network are primarily responsible for collecting the dataset of the entire building environment and the main node (master) uses this dataset and machine learning algorithms to investigate the possibility of fire.

Developed a deep reinforcement learning (DRL) model for stock price prediction and automated trading, using techniques like PPO and DDPG for improved decision-making and stability. Integrated xLSTM to enhance long- and short-term pattern learning, addressing LSTM limitations. Demonstrated improved predictive accuracy and optimized strategies in real-world stock market scenarios.

Inventing an electronic and intelligent device as an aid to the comprehensive snooker referee as Video assistant referee (VAR) in Snooker.

Snooker is a popular form of billiards played worldwide. However, it has complex rules, making human refereeing less accurate and sometimes leading to unfair outcomes for players. To address this, technology is used to ensure high accuracy and speed in officiating, reducing disputes and ensuring fair play for everyone involved.

Fields of interest

My career and research interests are applying AI and Machine Learning, especially in Neuroscience ,Biotechnology ,Social Science ,and robotics.

Neuroscience & BioInfomatics

I'm fascinated to know more about the Brain function and Human behavior. It's also fascinating for me how much Neuroscience is related to Ai, Electrical Engineering, Sociology, and even Philosophy. It's amazing for if I could have great impact on patients' life and increase society health care using my inventions.

Machine Learning & AI

I was always enthusiasm about ML and Ai, as I like to see the day human reach the summit point in this field, which is AGI (Artificial general intelligence). It's like teaching machines to think and solve problems, opening doors to exciting innovations that can improve our lives, from healthcare to everyday conveniences.

Product Manage & entrepreneurship

I love computational social science because it combines my passion for understanding human behavior with powerful computer tools. Analyzing large datasets helps uncover patterns in social interactions, guiding solutions for real-world problems. It's exciting to use technology to explore and improve how societies function, making a positive impact on people's lives.

Automation & Robotics

I'm interested Reinforcement Learning because it's like teaching computers to learn from mistakes, just like we do. By rewarding good decisions and correcting errors, it enables machines to improve their actions over time. It's exciting to see how this approach helps computers tackle complex tasks and solve problems independently.

Introducing Me In 48sec (Eng)

Play Video

More about me

I'm a Machine Learning & AI researcher, instructor, and Developer.
Graduated from Shahid Beheshti University as an Electrical Engineer, I've been a Python & C++ developer in the TNM company R&D department for more than 3 years and I've worked on several industrial projects such as working 8 months in a European
logistic company as a python programmer remotely.

I was a Machine Learning Teaching Assistant at Shahid Beheshti University. Also, I've been a signals & systems Matlab, Physics and Calculus TA and FPGA project RA at university. Moreover, I've attended in a Neuroscience project as RA in IPM in Tehran.
After my bachelor's degree, I've started teaching programming, ML and AI in private classes and public academies such as a Neuromatch Academy and Darsam Academy.

I started programming at school when I was 13 with C++. After high school, I started Python and programming microcontrollers and several beneficial software in EE like Matlab and AltiumDesigner. Also, in high school, I attended the physics olympiad which was a fantastic time because of learning fascinating and advanced topics in physics. I graduated from Tehran Allameh Helli1 high school in mathematics.

I consider myself very extroverted and sociable, so I like working in a group and socializing with people because I believe teamwork improves efficiency and makes me more pleased while working.
I’m open to learning new things, so as I’m fascinated by Ai in mechatronics and biomedical engineering, I always attend courses and try to learn more.
I also call myself a creative problem-solver person. While I was at TNM company as a programmer, there were several manual processes that I personally detected, declared, and automated them.
Moreover, I’m an amenable and receptive person in my life and would be pleased if people give me feedback about my behaviors to improve myself.
Finally, I’m a skilled presenter and I like to teach things to others as I have several experiences in it.

In my free time, you can find me playing guitar, watching movies, reading books and playing football and snooker.

As for my future, I hope to one day continue my studies at one of the top universities in the U.S. or Canada and work as an engineer with a diverse team at Google or NASA.

Projects

Building's safety and rescue force's assistant modular device (base on IOT and ML)

The device we have presented is in the form of a connected network of smoke and dangerous gas detection devices centered on a single device that forms the Master-Slave architecture, and the sub-nodes of this network are primarily responsible for collecting the dataset of the entire building environment and the main node (master) uses this dataset and machine learning algorithms to investigate the possibility of a fire.

MilesDtcWizard & Versatile_api

I have coded several programs such as “TNM_Versatile_API” for preprocessing ECU Dump before working with emulator and “MilesDtcWizard” which is a comprehensive program to find, search, edit, and translate ECU's DTC codes.

design and build RPM meter with IOT automation feature for Chap factory

I designed circuit and PCB with Altium Designer and also programed ESP32 micro and finally we assembled and setup with cooperation of Mr. Mehdi Ezzatvar. It works perfectly until now, after 1 year.

Modeling Human Perceptual Inference by Drift Diffusion Model and Neural Network (Neuroatch Final Project)

We modeled the Laquitaine & Gardner database on human motion direction estimation errors to figure out if human is more likely to make decision on prior information or sensory evidence.

CartPole_Stabilization

Building, simulating, and controlling an inverted pendulum (cart pole) using RL in Python and PID in Matlab.

Comparison of the effect of family bonding on girls with same-sex sexual orientation and girls with non-same-sex sexual orientation

I developed a python program to statically evaluate our psychological hypothesis by our dataset gathered from 143 subject based on parental bonding instrument Parker survey

FacialRecognitionProject on Airport

In this project, we developed a Python app detecting the face of passengers by image processing and subsequently, comparing passengers' faces to the stored pictures located in the Python SQL database by use of a DL-trained model.