0 viewsTalent
Vigneshwaran B. — Mid-Level Data Engineer from India

Vigneshwaran B.

Mid-Level Data Engineer

India 2-3 years
Open to offersNew to Platform
Languages
English
Video Introduction
No video introduction yet
The candidate has not added a video.
Contact information and social networks are private. Connect to unlock.
Hidden

About

Not specified

Experience

  • Data Engineer

    Synergy Marine Group (Integrated Maritime Business Solutions Pvt Ltd) · 2024 — Present
    Automated web data extraction utilizing Selenium and Playwright to enhance data pipeline efficiency and minimize manual effort. Engineered vector databases for high-dimensional data retrieval, optimizing AI workflows for accuracy. Developed and optimized OpenAI-powered LLM agents for intelligent automation and improved decision-making. Designed ETL workflows with BigQuery to streamline data processing across various business functions, and built scalable Next.js applications to facilitate real-time data interaction.
  • Data Engineer

    Synergy Marine Group · 2024 — 2024
    Engineered Selenium-based automation to boost data extraction efficiency. Enhanced AI performance by implementing scalable vector databases. Leveraged the KNIME analytics platform for complex data workflows and collaborated with cross-functional teams to integrate analytical solutions into existing systems.
  • Data Scientist (Internship)

    null
    Developed a real-time web application for automating vehicle quality assurance. Created a front-end dashboard and back-end system for monitoring purposes. Deployed the live system at rv-industries.web.app, improving the company's quality assurance workflow.
  • null

    null
    Designed an Android application for resource tracking and inventory management. Developed a QR code-enabled tracking system to enhance precision and efficiency while integrating Firebase for real-time data synchronization.
  • null

    PitchME
    Created an AI-driven video and audio analysis system to evaluate user performance based on various metrics. Utilized LLMs for audio segmentation and MediaPipe for video feature extraction, achieving 90% accuracy in engagement classification, deployed on GCP with a Firebase backend.

Skills & Expertise

Education

  • Bachelor of Technology in Artificial Intelligence and Data Science
    Sona College Of Technology · 2020 — 2024

Interested in this professional?

Sign in as an employer to save this profile or invite Vigneshwaran B. to a job.

Sign in as an employer