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Divya Prackash Ravi

AI Engineer, ML Developer, Software Developer, Embedded Programmer, Computer Vision Engineer, IT Technician
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About Me

4 Years Experience

With a robust foundation in AI development and a passion for innovative solutions, I've journeyed from fine-tuning NLP models at Createn to deploying deep learning models and AI-driven features at Kreedai. My experiences span roles like Software Developer at Altair, where I enhanced computation efficiency, to Service Desk Analyst at London Metropolitan University, managing IT equipment and security. At TechSmart, I excelled in technical support and training. I hold a Master's in AI from London Metropolitan University and a B.Tech in Computer Science from Vellore Institute of Technology. My commitment to staying at the cutting edge of AI drives my continuous learning and innovation.

Artificial Intelligence

80%

Machine Learning

90%

Computer Vision

85%

Embedded Programming

75%

Skill set

Languages

  • Python
  • C++
  • Java
  • SQL
  • C#
  • Rust

Domains

  • Artificial Intelligence
  • Machine Learning
  • Software Development
  • Computer Vision
  • Embedded Programming

Tools

  • Git
  • PowerBI
  • Hadoop
  • Docker
  • Tableau

My Resume

Working Experience

2023 - Present

AI Developer

Kreedai, London, UK

  • Deployed deep learning models for diverse set of applications, significantly enhancing functionality
  • Increased data processing speed by 25% by implementing cutting-edge optimisation techniques
  • Spearheaded the development and deployment of AI-driven features, including advanced computer vision algorithms, aligning with business goals and user needs
  • Conducted comprehensive testing and debugging, ensuring a 98% success rate in deployed AI solutions
  • Optimized model performance and scalability, achieving a 30% reduction in inference times and a 15% increase in accuracy rates

2024 - 2024

Service Desk Analyst

London Metropolitan University, London, UK

  • Handled and managed equipment, including laptops ensuring proper functionality and minimising downtime
  • Resolved critical security incidents, including CrowdStrike-related issues, enhancing the university’s IT security
  • Engaged in QA testing of the ITSM tool, identifying areas for improvement to optimise overall user experience
  • Coordinated the setup and configuration of over 500 devices, ensuring readiness for the academic year
  • Documented common IT issues and solutions, creating a knowledge base that reduced resolution time for frequently encountered problems by 30%

2022 - 2024

TechSmart Assistant

London Metropolitan University, London, UK

  • Provided comprehensive technical support, achieving a 95% satisfaction rate by promptly addressing and resolving IT issues for students and staff
  • Installed and configured software on 500+ devices, ensuring proper functionality and accessibility for academic and administrative purposes
  • Conducted training sessions for staff and students, facilitating the smooth transition from Google Suite to Microsoft Office Suite, enhancing their technical proficiency
  • Managed software licenses and ensured compliance with university policies, optimising resource allocation and usage

2021 - 2022

Software Developer

Altair, Chennai, India

  • Developed machine learning packages, achieving a 25% reduction in computation time and improved efficiency for end-users
  • Collaborated with a team of developers to integrate a new features, contributing to a 20% improvement in project completion rates
  • Conducted comprehensive code reviews to uphold high standards of software quality
  • Tested and debugged machine learning packages, ensuring a 98% accuracy rate and maintaining high software reliability

2021 - 2021

AWS Cloud Intern

F13 Tech, Chennai, India

  • Significant contributions were made to the development of cloud infrastructure for a range of websites, utilising AWS Cloud modules effectively.
  • Active involvement was demonstrated in the design and execution of cloud architectures, with practical experience gained in AWS services including EC2, S3, RDS, Lambda, CloudFront, and Route 53.
  • Participation in the establishment of fault-tolerant architectures was a focal point, emphasising high availability and minimal downtime for uninterrupted service delivery.
  • Thorough engagement in cost analysis and resource optimisation activities refined the ability to achieve a balance between performance and cost-effectiveness in cloud deployments.

2021 - 2021

AI Intern

Createn, Chennai, India

  • Developed and fine-tuned NLP models for sentiment analysis, including entity recognition and text summarisation, achieving an average accuracy improvement of 15%
  • Utilised various AI and ML tools, including TensorFlow and PyTorch and leveraged AWS to deploy and scale AI models, reducing deployment time by 40%
  • Conducted rigorous testing and validation of models to ensure robustness and reliability in production environment
  • Created detailed documentation for the developed models, facilitating knowledge transfer and ease of use
  • Engaged in continuous learning and application of computer vision to keep projects at the cutting edge

2020 - 2020

AI Intern

Codespeedy, Chennai, India

  • Engineered Speech-to-Text and Text-to-Speech application using Python, significantly improving accessibility for auditory information.
  • Conducted extensive testing and refinement of Speech-to-Text and Text-to-Speech models to ensure precise transcriptions and high-quality voice synthesis.
  • Worked closely with seasoned developers to fine-tune code efficiency and explore opportunities for performance optimisation in the applications.
  • Made significant contributions to documentation efforts, providing detailed resources for future maintenance and ongoing improvements of the applications.

My Portfolio

  • All
  • Artificial Intelligence
  • Computer Vision
  • Machine Learning
  • Embedded Programming
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Cricket Stump Camera with Ball Detection

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Cricket Batting Prediction

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Advanced Driving Guidance System

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Azure Smart Home

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Hand Shape Identification

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Pneumonia detection

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Datawarehouse and big data analysis for E-Commerce

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Maze Path Solver

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E-Shopping Application for Visually Impaired

Academic Journey

2022 - 2023

Master of Science - Artificial Intelligence

London Metropolitan University, London, UK

2018 - 2022

Bachelor of Technology - Computer Science and Engineering

Vellore Institute of Technology, Chennai, India

2012 - 2018

Higher Secondary - Computer Science

Santhome HRSS, Chennai, India