7 years in Full Stack Development
5 years of experience in PCB design and firmware development of various kinds of IoT devices
5 years of Computer Vision and Machine Learning
2 years of NLP and Data Science
My goal is to meet your needs and deadline. I always pay attention to detail, speed and quality.
Making complex workflows simple is my thing. Python and JavaScript always empower me to implement these complex things simply. so, I love them.
__________________ Full Stack Development __________________
- Back End: Django, Flask, Express.js, Laravel, CI, Celery/RabbitMq, Redis.
- Front End: React.js(Redux/React Hook/Context API/Next.js), Angular(1.x, 2/4/6, 7), Vue.js and jQuery.
- Database: MySql, MariaDB, PostgreSql, MongoDB.
- Clouds Platform: AWS, GCP, Firebase, Godaddy
- Web Scraping: Scrapy/Selenium/Bs4, Cheerio/Puppeteer. Scrapy and Puppeteer is preferred now.
Development Tools and Environtment:
- Linux (Ubuntu/Cent OS)
- PyCharm
- WebStorm
- PhpStorm
__________________ IoT | PCB Design __________________
Skills:
- Solution proposal, Rapid Prototyping and Testing of various kinds of IoT devices using Arduino, Raspberry Pi, ESP8266 WiFi module, ESP32 WiFi /BLE module, nRF52830, nRF52840, LoRa module, STM32 and several kinds of sensors
- Schematic and PCB layout design for validated prototypes
- Xilinx Vertex series/Spartan series FPGA design
- AC/DC adapter, ADC/DAC module design
- Solar Panel Charge Circuit design
- High-Speed signal processing device/ USB hub design
Preferred Development IDE:
- Altium Designer2018/Eagle5.2/KiCAD5.1
- Arduino IDE
- Visual Studio Code(PlatformIO)
- Zerynth Studio IDE
__________________ Machine Learning and Computer Vision ___
- Computer Vision:
Experiences: People detection, face detection, vehicle detection, industrial products detection and counts, and other specification objects.
Image classification, object tracking, segmentation, Image style transformation
The machine or deep learning approaches with CNN/DNNs:
YOLO(v3, v3 tiny, darknet), SSD (SSD-Mobile, SSD-ResNet, SSD-Inception), VGG (VGG-COCO, VGG-PASCAL)
RCNN (Faster-RCNN-ResNet, Faster-RCNN-Inception, Faster-RCNN-NasNet)
Mask RCNN, DeepLap
- Typical image processing:
Image filtering, enhancement, calibration, stitching, color correction, geometric transformation, keypoint feature extraction, lens calibration, stabilization
- Data Science: Pandas, Scipy, Numpy, Tensorflow, Keras, Torch, Matplotlib
- Natural Language Processing: NLTK, Gensim, Spacy
- AI chatbot developement: Google DialogFlow, Rasa Chatbot, Microsoft Bot, [login to view URL]
- OpenCV, Dlib, PIL, Scikit-imag, Darkflow
If you need any help to implement your interesting ideas, I will always be available for you.
Thanks