Dinesh D

I'm Designer

About

I am Dinesh D, currently pursuing a Bachelor of Engineering in Artificial Intelligence and Machine Learning from Visvesvaraya Technological University, now in my 4th and final year. With a strong foundation in AI and ML, I am passionate about leveraging technology to solve complex problems. I have gained hands-on experience in various AI projects and continuously seek opportunities to enhance my skills and contribute to innovative solutions that can impact the future of technology.

AI & ML Engineer

Passionate about Artificial Intelligence and Machine Learning, I specialize in building intelligent systems that solve real-world problems. With a deep understanding of algorithms, data structures, and model development, I thrive on applying cutting-edge technology to create innovative solutions.

  • Website: www.dineshsolanki.in
  • Phone: +91 7019179783
  • City: Bangalore, Karnataka
  • Degree: UG in AIML
  • Email: dineshsolanki2799@gmail.com
  • Freelance: Available

Throughout my academic journey, I have developed a deep interest in the field of Artificial Intelligence and Machine Learning. I have worked on various projects, ranging from predictive modeling to neural networks, honing my skills in data analysis, algorithm development, and model optimization. My dedication to continuous learning allows me to stay up to date with the latest advancements in AI, and I enjoy exploring how these technologies can drive innovation in different industries. I am always eager to tackle challenging problems and contribute to impactful, technology-driven solutions.

Happy Clients Satisfied with my solutions

Projects Completed AI & ML solutions delivered

Hours Of Support Technical guidance provided

Team Collaborations Innovative teamwork projects

Skills

Expertise in AI, Machine Learning, and Web Development technologies.

Python (AI/ML) 95%
Flask/Django (Backend) 85%
React Native (Mobile Development) 60%
HTML/CSS 70%
JavaScript (Frontend) 60%
Machine Learning (Scikit-learn, TensorFlow) 90%

Resume

Dynamic and detail-oriented full stack developer with expertise in web development frameworks like Django and Flask, and mobile app frameworks like React Native. Passionate about machine learning and generative AI, with hands-on experience in developing cross-platform applications and data-driven solutions.

Summary

DINESH D

Proficient in Django, Flask, React Native, and backend tools like MySQL Workbench and SQLite. Adept in cross-platform app development, integrating Google login, email confirmation, and working with EEG data for Alzheimer's detection using machine learning models.

Education

Bachelor of Engineering in AIML (Artificial Intelligence and Machine Learning)

Dec 2021 - Present

Visvesvaraya Technological University, GPA: 9.0/10.00

PCMC

Jul 2019 - Jul 2021

St. Francis PU College

Professional Experience

Analysis of EEG Data for Alzheimer's Detection (on-site) - iBrains

Feb 2024 - Present

Role:

  • Applying wavelet transforms for feature extraction from EEG data for Alzheimer's detection.
  • Utilizing supervised learning algorithms to classify early-stage Alzheimer's disease through EEG signal analysis.
  • Contributing to research for developing efficient diagnostic models.

Full Stack Developer (Internship)

May 2024 - Present

Responsibilities:

  • Developing and implementing cross-platform applications using Django, Flask, and React Native.
  • Integrating Google login and automatic email confirmation features in applications.
  • Utilizing backend tools like MySQL Workbench and SQLite for database management and application support.
  • Creating and maintaining the front end of applications using Figma and other UI/UX tools.

Platform Agnostic Refiners with Improved Image Quality

Jun 2024 - Present

Samsung Prism

  • Developing platform-agnostic models for Stable Diffusion, independent of SwarmUI, to ensure high-quality image generation.
  • Analyzing architectures of Stable SwarmUI, Automatic1111, and ComfyUI to fine-tune weights and models.
  • Jailbreaking checkpoints (.safetensors) to function outside SwarmUI with an independent CLI.

Iris Flower Classification Using Machine Learning

Oct 2022 - Nov 2022
  • Classified Iris flowers using machine learning algorithms, achieving an accuracy of 79%.
  • Improved model accuracy by 10% through feature selection and hyperparameter tuning.
  • Validated performance on a separate dataset of 10,000 samples with a 76% accuracy rate.

Projects

This section highlights some of my key projects, demonstrating my skills in machine learning, web development, and API integration. These projects reflect my ability to build scalable applications, automate processes, and improve model performance through feature engineering and optimization techniques. Each project is built using modern tools and frameworks, showcasing my dedication to continuous learning and problem-solving.

Iris Flower Classification Using Machine Learning

Classified Iris flowers using machine learning algorithms, achieving an accuracy of 79%. Improved model accuracy by 10% through feature selection and hyperparameter tuning. Validated performance on a dataset of 10,000 samples with a 76% accuracy rate.

View on GitHub

Flask-Email-App

Developed a Flask application to automate email responses using Gmail. The project involved setting up email authentication with a Gmail app password, ensuring secure communication. The application handles user login and automatically sends email responses.

View on GitHub

Flask-Google-Login

Designed and implemented a Flask application with Google OAuth integration for secure user authentication. Configured Google Cloud and Firebase to manage user credentials and handle login processes.

View on GitHub

Contact

Location:

Bengaluru, Karnataka.

Email:

dineshsolanki2799@gmail.com

Call:

+91 7019179783