Sherine Godfrey J

AI & Computer Vision Developer |

Computer Science Engineering professional with hands-on experience in Computer Vision, Artificial Intelligence, and software development. Experienced with Python, OpenCV, YOLO, and real-time vision systems for industrial AI applications.

Who I Am

Computer Science Engineering professional with a strong focus on Computer Vision, Artificial Intelligence, and scalable software solutions.

I specialize in Python, OpenCV, PyTorch, and YOLO to build real-time vision systems and intelligent automation workflows. My practical experience extends to industrial AI applications, model training, and edge device deployment.

Alongside AI, I am familiar with full-stack development, DevOps, and LLM/RAG pipelines, bringing a versatile and end-to-end approach to building technological solutions.

DegreeB.Tech – CSE
UniversityKarunya ITS
Batch2022 – 2026
InterestsAI & Computer Vision

Computer Vision

OpenCV, PyTorch, Image Processing, Object Detection

AI & Deep Learning

YOLO, LLMs, RAG, Model Training & Evaluation

Software Dev

Python, JavaScript, Node.js, SQL, REST APIs

Hardware & Edge

Industrial Cameras, NVIDIA Jetson, Raspberry Pi

Technical Expertise

Programming & Web

Python Java JavaScript SQL HTML/CSS Node.js Express.js

Computer Vision

OpenCV PyTorch TensorFlow scikit-image Image Processing Object Detection

Deep Learning & AI

YOLO Model Training Image Annotation LLMs & RAG n8n Automation

DevOps & Hardware

Linux Docker Git/GitHub Industrial Cameras NVIDIA Jetson Raspberry Pi MySQL / MongoDB

Areas of Interest

Software Development
Computer Vision
Artificial Intelligence

Education & Experience

Experience Present

AI & Computer Vision Developer

Vidana Consulting Pvt. Ltd.

  • Developed AI-based computer vision solutions and YOLO-based models for industrial inspection and automation.
  • Implemented OpenCV-based image-processing and real-time validation workflows.
  • Integrated industrial cameras and lighting for automotive component defect detection and OCR traceability.
  • Optimized model performance and deployed monitoring systems for production analysis.
Experience May 2024 – Jun 2024

Front-End Development Intern

MITA IT Automations Pvt. Ltd., Dindigul

  • Assisted in developing UI/UX interfaces using Photoshop and Canva.
  • Worked on frontend development using HTML, CSS, Bootstrap, JavaScript, and jQuery.
Education 2022 – 2026

B.Tech – Computer Science & Engineering

Karunya Institute of Technology & Sciences, Coimbatore

What I've Built

Professional Recent

Fuel-Door Defect Detection System

Developed a vision system for automotive fuel-door inspection. Built YOLOv8 models for surface-defect detection and implemented OCR-based serial number recognition for traceability.

PythonOpenCVYOLOv8OCR
Professional Recent

Tailgate / Panel Vision Inspection

Developed a vision-based inspection solution for automotive tailgate/panel components. Built YOLOv8-based detection workflows for verification and camera-based image acquisition.

PythonOpenCVYOLOv8Cameras
Professional Recent

Gasket & Cut Ring Inspection – 3 & 6 Cylinder

Developed computer vision inspection solutions for gasket and cut-ring verification across 3-cylinder and 6-cylinder assemblies. Built YOLOv8-based models for component detection, presence/absence verification, and implemented real-time monitoring for production testing.

PythonOpenCVYOLOv8Computer Vision
Professional Recent

Assembly Vision Monitor

Vision-based assembly monitoring system to track personnel lead time, working time, and operator presence, supporting automated report generation and production visibility.

PythonOpenCVIndustrial Cameras
Hobby 2024

ExpenseFlow – Personal Expense Tracker

An offline-first personal expense management PWA utilizing IndexedDB for local data persistence and Service Workers for offline functionality.

HTMLCSSJavaScriptPWA

Credentials

Let's Connect

I'm actively looking for job opportunities. Whether you have a project in mind or just want to say hi — my inbox is always open!