Summary
Overview
Work History
Education
Skills
Timeline
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Jeevitha K

Salem

Summary

Dynamic Senior Engineer with a proven track record at Tata Elxsi, driving 10% growth in ADAS competency through innovative AI/ML solutions. Skilled in Python and image processing, I excel in team collaboration and decision-making, earning multiple awards for delivering impactful projects in computer vision and machine learning.

Overview

4
4
years of professional experience

Work History

Senior Engineer

Tata Elxsi
Trivandrum
07.2022 - Current
  • Delivered four major projects, driving 10% growth in ADAS competency within computer vision and machine learning.
  • Executed image processing projects using AI/ML and Python, ensuring on-time delivery and client satisfaction.
  • Managed configuration control across projects utilizing JIRA for effective oversight.
  • Developed scalable Python-based solutions with Docker containers for consistent deployments.
  • Applied deep learning frameworks such as YOLO (v5), SAM, PyTorch, and TensorFlow for improved project results.
  • Specialized in object detection and image segmentation techniques using YOLOv5.
  • Created synthetic datasets using Photoshop and GIMP to augment training data.
  • Achieved a 5/5 performance rating, earning the Tata Innovista award and three internal innovation awards.

Trainee Engineer

Tata Elxsi
09.2021 - 06.2022
  • Executed internal projects, contributing innovative solutions to enhance operational efficacy.
  • Trained object detection models utilizing YOLOV5 for improved accuracy in applications.
  • Elevated technical proficiency in computer vision through continuous learning and practical application.
  • Supported Python projects, leveraging programming skills to streamline processes.
  • Created datasets and synthetic data to facilitate effective model training.
  • Performed data annotation and model preprocessing to ensure high-quality input for analysis.
  • Utilized analytical tools and Excel for detailed reporting and insights.
  • Applied computer vision techniques to address challenges within rail competency.

Education

M.E - Embedded Systems

Kongu Engineering College
04-2022

B.E- Electrical And Electronics Engineering

Karpagam College of Engineering
04-2020

Skills

  • Windows and Linux
  • Python programming
  • Machine learning frameworks
  • Data analysis tools
  • Image processing techniques
  • Object detection methods
  • Team collaboration and adaptability
  • Decision-making skills
  • Microsoft Office proficiency
  • Statistical analysis with NumPy and Pandas
  • Data visualization with Matplotlib and Seaborn
  • Computer vision with OpenCV and Scikit-learn

Timeline

Senior Engineer

Tata Elxsi
07.2022 - Current

Trainee Engineer

Tata Elxsi
09.2021 - 06.2022

M.E - Embedded Systems

Kongu Engineering College

B.E- Electrical And Electronics Engineering

Karpagam College of Engineering

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Jeevitha K