Recommended
Recommended
More Related Content
Similar to Dimitar Rangelov's Protfolio
Similar to Dimitar Rangelov's Protfolio (20)
More from Dimitar Rangelov
More from Dimitar Rangelov (9)
Recently uploaded
Recently uploaded (20)
Dimitar Rangelov's Protfolio
- 2. ABOUT ME А curious person who has an interest in dealing with software and hardware. But every IT project needs to be presented to the world. For this reason, I am also interested in the business and the marketing part of each project. . Dimitar Rangelov SOFTWARE AND HARDWARE DEVELOPMENT 02
- 3. 03 Education TECHNICALPORTFOLIO HIGH SCHOOL - INFORMATION TECHNOLOGY Sofia Vocational High School of Electronics "John Atanasov" 2011 – 2017 Sofia, Bulgaria BACHELOR'S DEGREE FIELD OF STUDY ELECTRICAL AND ELECTRONICS ENGINEERING Saxion University of Applied Sciences 2017 – Present Enschede, Netherlands
- 4. ELECTRICAL AND ЕLECTRONICS ЕNGINEER Saxion University of Applied Sciences 2018-2019 MACHINE LEARNING AND NLP SOFTWARE DEVELOPER Pandora Intelligence 2019-2020 HARDWARE & FIRMWARE ENGINEER ZEKENG 2019-2020 R&D MANAGER United Drone Community 2017-Present Work experience 04 FOUNDER SpaceR 2016-2018 EMBEDDED ENGINEER Electroninvest 2015-2016
- 5. Embedded Systems 05TECHNICALPORTFOLIO Skills and abilities Problem Solving Hardware Design Internet of things Programming Machine Learning Robotics Research Leadership
- 8. DESCRIPTION THE AIM OF THE PROJECT IS TO MONITOR AND COUNT THE LIVESTOCK OF FARMERS IN AN EASY AND INNOVATIVE WAY WITH A DRONE. IN THIS WAY, THEY WILL HAVE COMPLETE CONTROL OVER THEIR CATTLE AND WILL KNOW IF ALL THE SHEEP OR COWS ARE PRESENT. 08 TECHNICALPORTFOLIO
- 9. HOW IT WORKS THE DRONE FLIES OVER THE FIELD AND USES THE CAMERA TO TAKE PHOTOS OR VIDEO. THIS IS THEN PROCESSED BY THE SOFTWARE USING A COMPUTER VISION AND THE EXACT NUMBER OF THE CATTLE IN THE FIELD IS DISPLAYED. 09 TECHNICALPORTFOLIO
- 10. TECHNOLOGIES USED Computer Vision - Watershed - OpenCV - Tensorflow Machine LearningLanguage - Python Drones - DJI Phantom - DJI Matrice TECHNICALPORTFOLIO 10
- 11. PARTNERS 11 Saxion University of Applied Sciences Robor Electronics B.V SDPROJECT B.V without whom the project could not be realized
- 13. THE MAIN GOAL OF THE PROJECT IS TO GIVE FIREFIGHTERS THE OPPORTUNITY TO UNDERSTAND WHETHER A FIRE IS RADIOACTIVE OR POISONOUS AND ALSO TO KNOW WHERE IT STARTED FROM AND HOW EASILY TO PUT IT OUT. TO MAKE THIS WHOLE MEASUREMENT SAFE FOR FIREFIGHTERS, DRONES ARE USED. DESCRIPTION 13 TECHNICALPORTFOLIO
- 14. HOW IT WORKS FIREFIGHTERS LAUNCH A DRONE OVER THE FIRE AND THE DRONE WITH ITS SENSOR PACKAGE FINDS OUT IF THE CHEMICAL COMPOSITION OF THE SMOKE. IN THIS WAY IT UNDERSTANDS WHETHER THE FIRE IS RADIOACTIVE OR POISONOUS. ALSO CAN BE FOUNDED OUT WHERE IT IS STARTED.THIS INFORMATION IS SENT VIA LORA COMMUNICATION FROM THE DRONE TO THE FIREFIGHTER'S CAR. IT IS THEN VISUALIZED AND ANALYZED. 14 TECHNICALPORTFOLIO
- 15. SENSOR PACK 15 TECHNICALPORTFOLIO THE SENSOR PACK CONSIST 12 SENSORS THAT MEASURE 9 DIFFERENT CHEMICAL COMPONENTS AND ONE NANOTECHNOLOGY SENSOR. WITH THE HELP OF MY COLLEAGUE RICK VEENSTRA, WE DEVELOPED E-NOSE WITH THE HELP OF NANOTECHNOLOGY. AFTER THAT THE CONTROLLING AND MEASUREMENT HARDWARE ARE DEVELOPED.
- 16. 16 TECHNICALPORTFOLIO TECHNOLOGIES USED Computer Vision - OpenCV - Tensorflow Languages - C - C# - C++ - Python Drones - DJI Matrice Communication - LoRa Hardware Design Nanotechnology
- 17. 17 PARTNERSwithout whom the project could not be realized Saxion University of Applied Sciences Robor Electronics B.V Tech for future Wageningen University & Research Twente Safety Campus Fire department
- 19. THE MAIN GOAL OF THE PROJECT IS TO BUILD THE LARGEST DATABASE OF HOMICIDES IN NETHERLANDS AND ALSO TO DEVELOP A TOOL THAT WILL HELP POLICE OFFICERS IN SOLVING ACTIVE AND COLD CASES. BEHIND THIS TOOL WILL SIT ARTIFICIAL INTELLIGENCE THAT WILL HELP SOLVE CASES AND MAKE THE WORK OF POLICE OFFICERS EASIER AND MORE EXPEDITIOUS. DESCRIPTION 19 TECHNICALPORTFOLIO
- 20. THE PROJECT IS DIVIDED INTO TWO PARTS - DATABASE AND ARTIFICIAL INTELLIGENCE. THE DATABASE OF MURDERS FOR THE PRODUCTION OF ARTIFICIAL INTELLIGENCE. THIS ARTIFICIAL INTELLIGENCE WILL THEN BE ABLE TO HELP UNRAVEL THE CASES. FOR EXAMPLE, HE WILL BE ABLE TO DETERMINE WHETHER THE KILLER IS A SERIAL KILLER AND WHETHER HE FOLLOWS ANY PREVIOUS EXAMPLE AND WHAT HIS NEXT POTENTIAL TARGET IS. HOW IT WORKS 20 TECHNICALPORTFOLIO
- 21. DATA BASE ONE OF MY MAIN TASKS AS A PARTNER IN THIS PROJECT IS TO BUILD A DATABASE OF ACTIVE AND COLD CASES. SOFTWARE IS DEVELOPED THAT SEARCHES AND LISTENS ON THE INTERNET FOR NEW AND OLD CASES. A OCR WAS ALSO PROGRAMMED SO THAT CASES COULD BE RETRIEVED FROM ARCHIVES. THEN A DATABASE IS BUILT WITH OVER 11 500 CASES DATING FROM 1890 TO THE PRESENT DAY. THERE ARE CASES EVEN A FEW MINUTES AGO. 21 TECHNICALPORTFOLIO
- 22. IN THIS PART I HAD TAKEN PART IN THE DEVELOPING OF MACHINE LEARNING WHICH UNDERSTOOD WHETHER A CASE IS A REAL CASE OR JUST A LITERARY FICTION. I WAS ALSO PART OF BUILDING THE FOUNDATIONS OF THE BERT ALGORITHM THAT UNDERLIES EVERYTHING IN THIS PROJECT. ALL THIS IS SPECIAL BECAUSE IT IS DESIGNED TO WORK IN DUTCH AND SO FAR THERE ARE NO WELL-FUNCTIONING NATURAL LANGUAGE PROCESSING AND MACHINE LEARNING OR ARTIFICIAL INTELLIGENCE IN DUTCH. AI AND ML 22 TECHNICALPORTFOLIO
- 23. 23 TECHNICALPORTFOLIO TECHNOLOGIES USED Azure Language - Typescript - PythonData Science - Pandas Web Scraping - Selenium - Beautiful soup Machine Learning Artificial intelligence Natural language processing - BERT
- 24. 24 PARTNERSwithout whom the project could not be realized Saxion University of Applied Sciences Tech for future Ministry of Justice and Security Police Netherlands Police Academy Pandora Intelligence
- 26. AIRIO IS A MOBILE AIR STATION THAT CAN BE EASILY INSTALLED IN VEHICLES OR HARD TO REACH PLACES. THE AIM OF THE PROJECT IS TO MONITOR THE QUALITY OF THE AIR IN A LARGER AREA. ALSO TO DEVELOP A REAL-TIME AIR MONITORING SYSTEM AND MAKE TO MAKE THE WHOLE PROJECT CHEAP AND ACCESSIBLE FOR THE PEOPLE. DESCRIPTION 26 TECHNICALPORTFOLIO
- 27. THE STATION IS MADE UP OF TWO PARTS - SENSOR AND COMMUNICATION. THE SENSOR MEASURES ALL THE CHEMICAL COMPONENTS TO CALCULATE THE AIR QUALITY INDEX AND SENDS THEM TO THE COMMUNICATION PART. THEN EVERYTHING IS SENT BY GSM TO THE SERVERS WHICH THEN PUT THIS INFORMATION IN THE DATABASE AND PRESENT IT ON THE SITE IN REAL TIME. HOW IT WORKS 27 TECHNICALPORTFOLIO
- 28. AIRIO WAS ACCEPTED TO PARTICIPATE IN THE EIT JUMSTARTER 2020 IN CATEGORY URBAN MOBILITY AS A STARTUP AND AFTER MANY BOOTCAMPS AND THE PITCH OF THE IDEA TO A JURY WAS CHOSEN TO BE ONE OF THE FINALISTS OF THIS PROGRAM. EIT JUMSTARTER 28 TECHNICALPORTFOLIO
- 29. 29 TECHNICALPORTFOLIO TECHNOLOGIES USED Amazon EC2 Language - C - C++ - Python - Javascript Code Composer Web - Django - Bootstrap Hardware Design SQL Database ST and Atmel microcontrolers Autocad GSM
- 30. PARTNERS 30 without whom the project could not be realized Saxion University of Applied Sciences SDPROJECT B.VZekeng
- 31. 31TECHNICALPORTFOLIO Work with me MOBILE +31 616 048 126 +359 884 289 821 EMAIL dimitar.rangelov9@gmail.com