Deekshith Malleshaiah

Deekshith Malleshaiah Email and Phone Number

Computer Vision Developer @ Neurify Technologies Private Limited
Aberdeen, GB
Deekshith Malleshaiah's Location
Wembley, England, United Kingdom, United Kingdom
About Deekshith Malleshaiah

Enthusiastic and analytical professional with proven track record of leveraging advanced AI algorithms, machine learning, and technical innovation to develop and enhance cutting-edge solutions. Expert in blending sophisticated technologies, such as TensorFlow, OpenAI, and Firebase with agile methodologies to deliver intuitive UI and robust data analysis platforms. Demonstrated excellence in project management, from conceptualisation to market penetration, with commitment to iterative improvement and cross-functional collaboration. Skilled in employing diverse skill sets across computer vision, natural language processing, and software development to address complex challenges, drive technological advancement, and achieve operational efficiencies.

Deekshith Malleshaiah's Current Company Details
Neurify Technologies Private Limited

Neurify Technologies Private Limited

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Computer Vision Developer
Aberdeen, GB
Website:
neurifytech.ai
Employees:
14
Deekshith Malleshaiah Work Experience Details
  • Neurify Technologies Private Limited
    Computer Vision Developer
    Neurify Technologies Private Limited
    Aberdeen, Gb
  • Mind Storms
    Machine Learning Engineer
    Mind Storms Mar 2024 - Present
    Greater London, England, United Kingdom
    Developing scalable AI-powered solutions focused on real-time human-computer interaction and brain-wave recognition. Leading system design and machine learning model deployment with a focus on performance, scalability, and security.● Brain-Wave Recognition & Database Development: Built a high-accuracy brain-wave recognition system using TensorFlow. Designed and integrated a scalable database architecture for storing and retrieving large-scale neural datasets, enabling real-time processing and continuous model improvements.● Kubernetes & Docker for Deployment: Deployed machine learning models in production using Kubernetes and Docker, ensuring seamless real-time processing and scalability across distributed systems.● Enhanced MLOps practices to streamline model deployment in cloud environments such as AWS and Azure● Generative AI for Accessibility & Data Infrastructure: Created a Generative AI system powered by NLP to assist physically disabled individuals, focusing on building the supporting database infrastructure to store user interactions and preferences, enabling personalized AI assistance over time.
  • Radicalx
    Artificial Intelligence Engineer
    Radicalx Oct 2023 - Jan 2024
    New York, United States
    - Working on cutting-edge technologies such as OpenAI, Firebase, TensorFlow, Node.js, and React to implement a robust and personalized coaching platform.- Developed features including personalized coaching, mentorship facilitation, and career support throughout various career phases.- Designed an intuitive and interactive user interface, ensuring a seamless user experience.- Applied agile methodology, enabling iterative improvements and regular user feedback for continuous enhancement.- Conducted comprehensive testing and implemented automated testing for efficient quality assurance.- Documented the codebase, APIs, and system architecture for future reference.- Orchestrated a strategic launch plan, including user acquisition and engagement strategies, contributing to the successful introduction of ReX to the market.
  • Ai4Less
    Data Scientist
    Ai4Less Jun 2022 - May 2023
    London, England, United Kingdom
    Worked on Pig Recognition: Cutting-edge AI algorithms enable the drones to recognize and identify individual pigs, ensuring targeted and personalized mud bathsEnhanced Happiness: The AI drones and mud-squirting technology bring joy and contentment to the pigs, as they can enjoy the therapeutic benefits of mud baths more frequently, improving their overall happiness and wellbeing. Time Efficiency: The automated process offers significant time savings for Dibbly Squibb Farm staff, as the drones can bathe multiple pigs simultaneously, freeing up valuable resources for other important tasks Stress Reduction: By minimizing human presence during the mud bath process, Dibbly Squibb Farm ensures a serene and stress-free environment, keeping the pigs calm and content. Natural Stimulation: Simulating the pigs' natural habitat with mud baths promotes healthier skin conditions, regulates body temperature, and reduces the risk of sunburn and pests.Sustainable Farming: The optimized mud delivery system ensures the responsible use of resources, reducing water waste while maintaining the pigs' welfare.
  • Rubixe
    Data Scientist
    Rubixe Sep 2021 - Feb 2022
    Bengaluru, Karnataka, India
  • Keylynk
    Python Developer
    Keylynk Jun 2020 - Dec 2020
    Bengaluru, Karnataka, India

Deekshith Malleshaiah Education Details

Frequently Asked Questions about Deekshith Malleshaiah

What company does Deekshith Malleshaiah work for?

Deekshith Malleshaiah works for Neurify Technologies Private Limited

What is Deekshith Malleshaiah's role at the current company?

Deekshith Malleshaiah's current role is Computer Vision Developer.

What schools did Deekshith Malleshaiah attend?

Deekshith Malleshaiah attended University Of Aberdeen, Visvesvaraya Technological University.

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