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Nishil T. AI, Machine Learning and Computer Vision Platforms

My name is Nishil T. and I have over 1 year of experience in the tech industry. I specialize in the following technologies: Computer Vision, Machine Learning Model, Deep Learning, Artificial Intelligence, Natural Language Processing, etc.. I hold a degree in Bachelor of Technology (BTech). Some of the notable projects I've worked on include: SafetyWatch, Real Time Object Detection and Tracking, Behavior Analysis, PPE Kit Detection. I am based in Mumbai, India. I've successfully completed 4 projects while developing at Softaims.

I employ a methodical and structured approach to solution development, prioritizing deep domain understanding before execution. I excel at systems analysis, creating precise technical specifications, and ensuring that the final solution perfectly maps to the complex business logic it is meant to serve.

My tenure at Softaims has reinforced the importance of careful planning and risk mitigation. I am skilled at breaking down massive, ambiguous problems into manageable, iterative development tasks, ensuring consistent progress and predictable delivery schedules.

I strive for clarity and simplicity in both my technical outputs and my communication. I believe that the most powerful solutions are often the simplest ones, and I am committed to finding those elegant answers for our clients.

Main technologies

  • AI, Machine Learning and Computer Vision Platforms

    1 year

  • Computer Vision

    1 Year

  • Machine Learning Model

    1 Year

  • Deep Learning

    1 Year

Additional skills

  • Computer Vision
  • Machine Learning Model
  • Deep Learning
  • Artificial Intelligence
  • Natural Language Processing
  • YOLO
  • CUDA
  • OpenCV
  • TensorRT
  • TensorFlow
  • PyTorch
  • LLaMA
  • Retrieval Augmented Generation
  • Docker
  • AWS Lambda

Direct hire

Potentially possible

Previous Company

AnnotateHub Solutions LLP

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Experience Highlights

SafetyWatch

The Trip, Slip, and Fall Detection System named SafteyWatch is a real-time safety monitoring solution designed to detect human falls using deep learning and live tracking. Developed with an LSTM-based

Real Time Object Detection and Tracking

In this project, I implemented real-time object detection using the YOLO-NAS model. The system is designed to detect and classify objects on the road, including pedestrians, vehicles, and cyclists, wi

Behavior Analysis

The Behavior Analysis Model is designed to detect aggressive actions in real-time from video footage. The primary goal of this project is to enhance security and safety by identifying violent behavior

PPE Kit Detection

The PPE Kit Detection project leverages YOLO for model training to ensure workplace safety by detecting personal protective equipment (PPE). Images are annotated using LabelImg, and the model is train

Education

  • P P Savani University

    Bachelor of Technology (BTech) in Computer Science Engineering with Speciallization in AI/ML

    2020-01-01-2024-01-01

Languages

  • English (Fluent)
  • Gujarati (Native or Bilingual)
  • Hindi (Native or Bilingual)