I'm Engineer & an AI Solution Architect with interest in applied AI and software development. I love working with and contributing to open source projects. Professional Computer Vision & ML/DL Expert with years of experience in researching and implementing optimized deployment solutions for various target platforms. Proven experience in deploying solutions to various hardware specific chipset's including Intel, NVIDIA boards(Jetson), ARM boards(Raspberry-Pi) and Android NDK's.

class Swap(Minimalist):
  def __init__(self):
    self.professional_status = {
      "role" : "Associate AI Solution Architect", 
      "company" : "Vicon-Security LLC",
    }
    self.degree_status = {
      "level" : "BE", 
      "subject" : "Computer Science",
      "institution" : "SGB University",
    }
    self.languages = ["python", "java", "C/C++"]
    self.py_datasci_stack = ["opencv", "numpy", "scikit-learn", "keras", "pytorch"]
    self.tools = ["dvc", "git", "android-studio", "vs-code"]
    
  def main(self):
    if not self:
      self = self.__init__()

My Specializations & Expertise

• Understanding the problem statement & finding best optimal solution.
• Technical decision making & finalizing solution technology.
• Leading ML engineers along with MLOps data associates.
• Evaluating and Researching with various ML/DL algorithms which suits high level problem requirements.
• Responsible for establishing and managing MLOps and complex ML workflow pipeline along with source & data version control system.
• Leading team of ML Developers & Feature Engineers along with manual data annotation developers.
• Experience in working with PyTorch deep learning framework for design and implementation of CNN's for image recognition, classification, retrieval problems.
• Deciding optimization strategies for complex computer vision based deep learning problems.
• Experience in deploying pre-trained NN models to highly optimized IE's including NVIDIA TensorRT, Intel Openvino, TFlite and Android NDK's.

Prior Experience

• Developed an simple 16-bit operating system, approached towards creating 32-bit protected mode CLI based kernel.
• Good understanding of operating system internals and also Linux kernel internals.
• Good experience in computer vision & machine learning
• Production infrastructure setup and maintenance on Amazon AWS platform ( EC2, RDS, Elastic Beanstalk, Lambda, Route 53, S3 ).
• Have good hands on practice in Java and python.
• Also have good experience in android application development since last 6 years.
• Assisted in research work regarding Network Security in TCP/IP stack implemented in Linux Kernel.
• Assisted in many research oriented as well as commercial computer vision and data science projects.