About me

🚀 Passionate about turning data into intelligence, I’m Aniket Patel, a Computer Science student with a knack for building AI-driven solutions. With a Mathematics minor fueling my analytical mindset, I specialize in Machine Learning, Data Science, and Full-Stack Development.

💡 Whether it's training deep learning models, fine-tuning LLMs, or crafting intuitive web applications, I thrive on solving complex challenges. My projects range from AI-powered career mentoring tools to computer vision applications—bridging the gap between cutting-edge research and real-world impact.

🔍 Beyond the code, I’m an innovation enthusiast, constantly exploring transformers, neural networks, and automation to push boundaries. When I’m not debugging, I’m probably tinkering with new algorithms, analyzing datasets, or brainstorming my next big project.

📌 Currently, I’m on a mission to create personalized career mentors powered by AI, helping students plan their journey from high school to their dream job, all while learning from the best in tech. Let's connect, share ideas, and make things happen. 💡

What i'm doing

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    AI & Machine Learning

    Building intelligent systems that learn and adapt to real-world data, from deep learning models to AI-powered solutions.

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    Computer Vision

    Creating machine vision systems that see and interpret the world, from object detection to image recognition, transforming the way we interact with technology.

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    Data Analytics

    Transforming raw data into meaningful insights, using advanced analytics and visualization techniques to support data-driven decisions and strategic growth.

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    Web Development

    Crafting sleek, responsive websites that combine cutting-edge design with powerful functionality, making sure your web presence stands out.

Tech Stack

Resume

Experience

  1. AI/ML Researcher

    January 2024 — Present

    • Lead the Technology Team in research and development projects, focusing on Machine Learning, Deep Learning, and IoT applications.
    • Delivered a poster presentation on “Digit Recognition Model: A Hybrid CNN Approach for Image Recognition” at the Ohio Academy of Science Annual Meeting at Kent State University (April 6, 2024).
    • Authored a forthcoming research paper titled “Comparative Analysis of Regression Models on Datasets with Varying Feature Complexity.”
    • Collaborating with team members on an IoT and Machine Learning-based Agricultural Device to assist farmers in selecting crops based on soil, weather, and environmental data.
    • Foster teamwork and technical expertise within the club through mentoring and collaborative problem-solving initiatives.

  2. Deep Learning Researcher

    June 2023 — August 2023

    • Researched and developed a deep learning model for predicting protein-protein interaction sites, focusing on advancing computational biology methods.
    • Examined state-of-the-art models like DeepPPISP and D-PPIsite to benchmark performance and define areas for enhancement.
    • Engineered a custom deep learning model using TensorFlow and Python, achieving 15% higher accuracy than existing models.
    • Performed data preprocessing, feature engineering, and model optimization to improve prediction reliability.

Education

  1. Ashland University

    January 2024 — May 2026

    Degree: Bachelor's of Science
    Major: Computer Science
    Minor: Mathematics, Management of Information Systems, Honors Program
    GPA: 3.6
    Coursework: Data Structure & Algorithms, Database Management Systems, Computer Architecture, Object Oriented Programming, Computer Architecture, Software Development, Mobile Application Development, Web Development, Calculus I, Calculus II, Discrete Mathematics I, Discrete Mathematics II, Statistics, Linear Algebra

  2. Wilkes University

    August 2022 — December 2023

    Degree: Bachelor's of Science
    Major: Computer Science
    Minor: Mathematics
    GPA: 3.66

  3. K.R. Raval Uchchatar Madhyamik Shala

    June 2020 — May 2021

    Degree: High School Diploma (Class XII)
    Grade: 92%

Portfolio

Contact

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