Aniket Fasate

Hi, I'm

About

I am a Master of Science student in Internet of Things at Northeastern University, and the founder of Avinya Intelligence, a company that develops innovative IoT and AI/ML solutions. I have a keen interest in research and development, and have three years of experience as a researcher at the Indian Institute of Technology. I completed my Bachelor's degree in Electronics and Telecommunication Engineering. My passion for IoT and AI/ML stems from my belief that these technologies have the potential to revolutionize the way we live and work. I am particularly interested in developing solutions that can address real-world problems in areas such as healthcare, transportation, and energy.

AI/Ml & IoT Researcher and Developer.

“If you think that the internet has changed your life, think again. The Internet of Things is about to change it all over again!”.

  • University: Northeastern University, Boston
  • Degree: Master of Science in Internet Of Things
  • Email: fasate.a@northeastern.edu
  • Email: fasateaniket5@gmail.com
  • Phone: +1 8573 3284 78

Skills

An IoT engineer requires proficiency in programming (Python, C++), knowledge of networking protocols (MQTT, CoAP), experience with IoT platforms (AWS IoT, Azure IoT Hub), understanding of data analytics and machine learning, along with skills in cybersecurity, hardware design, and cloud computing. Effective communication and project management skills are also essential.

Internet Of Things 90%
Embedded Systems 90%
Networking and Communications Protocols85%
IoT Platforms and Cloud Services80%
Artificial Intelligence & Machine Learning80%
Web-Development 70%
Leadership & Project Management75%

Resume

Education

Master of Science In Internet Of Things

Aug 2023 - Dec 2025

Northeastern University, Boston

The Master of Science in Internet of Things from Northeastern University is a comprehensive program designed for professionals aspiring to specialize in the rapidly evolving IoT sector. This advanced curriculum integrates engineering principles, computer science, and data analytics to impart robust skills in IoT system design, implementation, and analysis. The program emphasizes practical, hands-on experience with state-of-the-art technologies, preparing graduates to innovate and lead in the dynamic field of IoT.

Bachelor In Electronics and Telecommunication Engineering

Aug 2016 - Aug 2020

Shri Sant Gajanan Maharaj College Of Engineering, Shegaon, India

Earned a Bachelor's in Electronics and Telecommunication Engineering from Shri Sant Gajanan Maharaj College of Engineering, this program melds rigorous theoretical foundations with practical insights in electronics, digital communication, signal processing, and network design, equipping graduates with the expertise to excel in the dynamic tech industry.

Higher Secondary School Certificate

Aug 2014 - Jun 2016

Banarasidas Ruiya Junior College, Katol, India

Attained the Higher Secondary School Certificate from Banarasidas Ruiya Junior College, Katol, India, demonstrating a strong academic foundation in core subjects. This certificate represents a successful completion of pre-university education, laying a solid groundwork for further studies and professional pursuits in diverse fields. The curriculum focused on in-depth theoretical knowledge, critical thinking, and analytical skills.

Professional Experience

Co-op Software Engineer in Test (Embedded Firmware Development)

Jan 2025 - Aug 2025

Philips healthcare

  • Refined firmware development and testing processes for STM32-based medical embedded devices, improving automation, system reliability, and compliance with medical industry standards.

  • Integrated networking protocols, Over-the-Air (OTA) updates, and secure communication protocols to enhance the security and efficiency of firmware and medical device data transmission.

  • Partnered with software architects and firmware developers to streamline operations, maximize resource efficiency, and meet research and development targets in a medical device setting.

  • Developed and implemented firmware strategies for advanced battery management in medical devices, significantly enhancing performance, battery life, user experience, and device reliability.

Research and Development Engineer

Feb 2021 - Aug 2023

Indian Instituate Of Technology (IIT-B), Bombay, India

  • Site Survey Kit:

    Engineered in MPU6050 and MPU9250 versions, this kit excels in on-site motion data collection. Achieving high-frequency data acquisition (up to 4kHz accelerometer, 8kHz gyroscope), the handheld device offers real-time insights with graph plotting. Its hosting server capabilities and Over-The-Air updates enhance convenience, ideal for construction and research, providing a portable solution for motion analysis, structural health monitoring, and dynamic behavior research.

  • Data Logger:

    Presenting two versions tailored for diverse monitoring needs. Version 1 integrates DHT22 and LDR sensors, optimizing climate monitoring with real-time user connectivity. Version 2 employs K-type thermocouples for precise Fahrenheit readings, catering to high-temperature environments. Both versions prioritize advanced data analysis, featuring hosting servers for seamless data management.

  • Dandi Project:

    Implementing ESP series microcontrollers, the Dandi Project optimizes structural health monitoring on a 40-meter platform. Utilizing predictive analytics, the device assesses structural integrity. Featuring a user-friendly GUI, OTA updates, and advanced telemetry, this project seamlessly amalgamates IoT capabilities, data analytics, and predictive maintenance for enhanced structural robustness.

  • Utilizing ESP32-CAM and YOLOv3, this project employs OpenCV and ESPAsyncWebServer for efficient image processing and web hosting. Through innovative tunneling, users experience dynamic object identification on screens, harmonizing cutting-edge algorithms with ESP32-CAM capabilities for advanced real-time environmental monitoring.

  • AI/ML Projects: object detection, image classification, sentiment analysis, spam detection, predictive text—demonstrating breadth across ML algorithms, neural networks, and NLP.

Research Blogs

Welcome to the insightful world of Aniket, a distinguished voice in the realms of the Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), and the latest technological advancements. With a keen eye for the future, Aniket eloquently demystifies complex technologies, making them accessible to a diverse audience. Their blog is a treasure trove of in-depth analyses, trend forecasts, and thought-provoking discussions about how these technologies are revolutionizing industries and daily life.

  • All
  • IoT
  • AI/ML
  • Upcomming

Professional Projects

Enhanced Data Logging System with Integrated ZigBee Wireless Communication Research Project(Website Link)

July 2020 – January 2021

The Data Logger with Zigbee, equipped to monitor temperature, humidity, and lux (light intensity), represents a cutting-edge tool in environmental data collection. Utilizing Zigbee technology, a low-power, wireless mesh network standard, this data logger ensures efficient and reliable transmission of environmental data. The device's capability to track temperature and humidity makes it ideal for applications in climate-sensitive environments like greenhouses or storage facilities. Additionally, the lux sensor provides valuable insights into light exposure, crucial for settings like art galleries or plant growth studies. The combination of these sensors, coupled with the robust Zigbee protocol, makes this data logger a versatile and accurate tool for a wide range of data monitoring needs.

Single Phase to Three Phase Converter, Smart India Hackathon, 2019 and bachelor’s project(Website Link)

July 2019 – March 2020

The Single Phase to Three Phase Converter is an innovative device designed to bridge the gap between single-phase and three-phase power supply systems. This converter is especially beneficial in areas where three-phase power is not available or is cost-prohibitive to install. It efficiently converts standard single-phase input into a three-phase output, enabling the operation of three-phase equipment in locations with only single-phase power. Ideal for industrial, agricultural, and commercial applications, this converter facilitates the use of three-phase motors, pumps, and other machinery, offering a cost-effective solution without the need for extensive electrical upgrades. Its robust design ensures reliability and longevity, making it a vital tool for various applications requiring three-phase power from a single-phase source

Real-Time Mask Detection System Using Computer Vision

Jan-2022 - April-2022

Freelance

The Real-Time Face Detection system is a sophisticated technological solution designed to identify faces and determine whether individuals are wearing masks. This system is particularly relevant in the context of health and safety protocols, where mask-wearing has become crucial. Utilizing advanced algorithms and machine learning techniques, it can accurately detect faces in various lighting conditions and angles, and then discern if a mask is being worn. This technology is vital in public spaces, healthcare settings, and businesses, ensuring compliance with safety regulations. Its real-time processing capabilities provide immediate feedback, making it an essential tool for maintaining public health standards in a variety of environments.

Intelligent Fruit Sorting System Using Machine Learning

Jan-2022 - April-2022

Research Project Sponsored by SGRC

The Sorting of Fruits system is an advanced technological solution designed to automate the process of fruit sorting, enhancing efficiency and accuracy in food processing and agriculture industries. Employing cutting-edge sensors and machine learning algorithms, this system can swiftly differentiate fruits based on size, color, ripeness, and quality. This precision sorting helps in reducing labor costs and minimizes human error, ensuring only high-quality fruits reach the market. It's particularly useful for large-scale producers and packers, where it significantly speeds up the sorting process while maintaining consistency in quality. This innovation not only optimizes operational efficiency but also contributes to reducing food waste, a critical aspect in the journey towards sustainable food production.

Precision Agriculture Quadcopter for Enhanced Farm Monitoring and Management

August 2018 – December 2019

(Sponsored by V-chip PVT, Pune)

The Real-Time Face Detection system is a sophisticated technological solution designed to identify faces and determine whether individuals are wearing masks. This system is particularly relevant in the context of health and safety protocols, where mask-wearing has become crucial. Utilizing advanced algorithms and machine learning techniques, it can accurately detect faces in various lighting conditions and angles, and then discern if a mask is being worn. This technology is vital in public spaces, healthcare settings, and businesses, ensuring compliance with safety regulations. Its real-time processing capabilities provide immediate feedback, making it an essential tool for maintaining public health standards in a variety of environments.

IoT-Powered Smart Tourism with Beacon Technology

Jan-2022 - April-2022

Hackthon 2021

Smart Tourism using Bluetooth Beacons is an innovative approach that enhances the tourist experience through the use of cutting-edge technology. These beacons, small Bluetooth-enabled devices, are strategically placed at various tourist spots, enabling location-based services directly to visitors' smartphones. When a visitor comes within the beacon's range, they receive real-time information, including detailed descriptions of nearby attractions, historical insights, navigation aids, and even personalized recommendations. This technology not only enriches the visitor experience by providing interactive and contextually relevant information but also helps in crowd management and data collection for improving tourism services. Smart Tourism with Bluetooth Beacons represents a significant leap in creating immersive and user-friendly travel experiences, making sightseeing more informative, convenient, and enjoyable.

Certificate

Testimonials

Contact

Location:

Boston MA

Call:

+1 8573 3284 78

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