Oh, hello, nice to meet you!

This is Samarth Gangwal's Digital Portfolio

Do have a look!

About me

I am

Welcome to my portfolio! I am a dedicated and versatile individual with a strong academic background and a passion for technology. I hold a Masters Degree in Robotics, specializing in Artificial Intelligence from University at Buffalo - SUNY, where I developed a solid foundation in Computer Vision, Image Processing, Deep Learning and Internet of Things. With a focus on technical proficiency, I am skilled in programming languages and libraries such as Python, OpenCV, YOLO and well-versed in utilizing tools like Kubernetes, Docker, and GIT to streamline development processes. Beyond the classroom, my hands-on experience and commitment to continuous learning have equipped me with a deep understanding of software development and the latest industry trends. My non-technical skills include problem-solving, critical thinking, quick adaptation, and a research-oriented mindset, which further enhance my ability to excel in diverse environments. In addition to my technical expertise, I bring a creative and well-rounded perspective to the table. Outside of the tech realm, I engage in hobbies such as traveling, cooking and watching a wide range of content ranging from latest tech innovations to sports like cricket, fueling my curiosity and fostering a balanced approach to life. Explore my portfolio to gain insights into my educational journey, technical skills, and the unique blend of qualities that define my professional identity.

Skills

  1. Java
  2. Python
  3. SQL
  1. OpenCV
  2. NLTK
  3. NumPy
  4. Pandas
  5. Scikit-learn
  6. ROS
  7. Pytesseract
  8. YOLO
  9. Pytorch
  10. Tensorflow
  11. Langchain
  1. Docker
  2. Kubernetes
  3. GIT
  1. Problem Solving
  2. Critical Thinking
  3. Quick Adaptation
  4. Research Oriented
  5. Team Player

Projects

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Fingerprint Verification using SIFT Features
(02/2023 - 05/2023)

A model that detects features from a given fingerprint and cross match it with a given set of images in order to figure out if they match.

GitHub Report
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Facial features detection
(08/2020 - 12/2020)

Detecting the features of a face such as the face, eyes and smile on an existing image or live, through a webcam.

GitHub
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Image processing using python libraries
(02/2019 - 05/2019)

Taking an image as an input and converting it into five different types such as Cartoon, Black&White, Pencil Sketch, Pixelated and Enhanced Sharpness

GitHub Report
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IoT in Retail Advertising - R&D Project
(01/2021 - 05/2021)

Applications of IoT in enhancing the retail experience of a consumer through advertising.

> GitHub Video
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Virtual Fitting Rooms - Advance R&D Project
(08/2021 - 12/2021)

Changing the clothes of the user virtually by capturing the image and using the visual try-on network Adaptive Content Generating and Preserving Network (ACGPN).

GitHub Video
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IoT Smart Parking System - Licence Plate Recognition
(08/2023 - 12/2023)

A smart way of making car parking efficient using computer vision techniques for automatic license plate recognition, followed by integration with hardware sensors to determine the occupancy of a parking spot.

GitHub

Contact

Feel free to reach out by using the social media handles given below!


Resume