Personal details
Saksham C.
Based in: 🇮🇳 India
Timezone: Kolkata (UTC+5.5)
Summary
Innovative Artificial Intelligence Engineer with 6+ years of professional experience in application design, development, testing & deployment. Highly experienced in writing codes & algorithms and equipped with excellent mathematical, and statistical understanding. Possess an unbridled passion for AI and is tenacious in pursuing solutions through advanced computer vision & deep learning techniques.
Work Experience
AI Architect & Lead Engineer
CamerEye | Dec 2021 - Present
Python
OpenCV
Image Processing
CUDA
Computer Vision
Deep Learning
PyTorch
TensorRT
DevOps
AWS (Amazon Web Services)
- Collaborated in the research & development of an end-to-end pipeline for detecting & tracking objects like person/pets in real-time and ensuring their safety through efficient distress detection around the pools.
- Reduced 15% execution time from development to production by defining the roadmap, and structured pipeline from data processing to deployment.
- Designed and implemented a sophisticated tracking algorithm that achieved state-of-the-art results on the MOT benchmark with an accuracy improvement of almost 30% in detection.San Diego, USA
https://camereye.ai/
Lead AI Consultant
Tech Mahindra | Jul 2021 - Dec 2021
Python
Computer Vision
Deep Learning
PyTorch
RESTful API
AWS (Amazon Web Services)
- Led the development of an end-to-end pipeline for efficiently managing the assembling & kitting process for large warehouses & factories using computer vision techiques.
- Implemented & deployed efficient deep learning models for object detection, tracking, pose estimation, and activity recognition from videos and also brought down the computation time under 500ms.
- Design and execute well-engineered, easy-to-maintain, reliable, and bug-free code for various company applications in collaboration with other Al engineers, programmers, and software personnel.Pune, India
https://www.techmahindra.com/
Education
Udacity
Nano Degree・Computer vision & Deep Learning
Jan 2020 - Jan 2021
Dr. A.P.J. Abdul Kalam Technical University
Bachelor's degree・Electronics & Communication Engineering
Jul 2015 - May 2019
Personal Projects
ChestRay - An AI-based Disease Classification & Localization
2022
Python
OpenCV
Deep Learning
Jupyter
AWS (Amazon Web Services)
Designed & developed a deep learning network for analyzing chest x-rays and achieved an accuracy of 93% on the NIH Chest X-ray dataset for 14 diseases, also implemented & added ’Gradcam’ for the localization of the diseases.
Smart Farming Assistant - AI-based Plant Disease Detection
2019
Python
Machine Learning
Computer Vision
Deep Learning
AWS (Amazon Web Services)
The main aim of this project is to identify the disease of the plant through the photo captured through the mobile phone. A total of 38 plant diseases are covered across 14 different plants, and the accuracy for the test dataset achieved is 97.53%.