About me

I'm Abhay Patil, a passionate and self-motivated B.Tech student currently pursuing my degree from Pimpri Chinchwad College of Engineering, Pune. I thrive on turning ideas into impactful solutions through clean, efficient, and scalable code. With a solid foundation in both frontend and backend development, I am constantly pushing myself to learn new technologies and improve my craft as a developer.

My core expertise lies in Full Stack Web Development, including technologies like HTML, CSS, JavaScript, Node.js, Express.js, Tailwind CSS, and MySQL. In addition to that, I'm passionate about Machine Learning, Data Science, and the future-forward domain of Quantum AI. I enjoy exploring how intelligent systems can solve real-world problems and continuously strive to expand my skills in both development and AI.

I am actively open to work, internship opportunities, collaborations, and freelance projects where I can apply my skills, grow professionally, and contribute meaningfully to innovative teams and impactful products.

What i'm doing

  • design icon

    Full Stack Developer

    Full Stack Developer skilled in frontend (HTML, CSS, JS, React, Tailwind) and backend (Node.js, Express.js, MySQL) development.

  • Web development icon

    Machine Learning & Data Science

    Working with Python, scikit-learn, and Pandas to build ML models and analyze real-world datasets.

  • mobile app icon

    Data Structures & Algorithms (DSA)

    Practicing coding problems and improving logical thinking using C++ on platforms like LeetCode and GeeksforGeeks.

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    Quantum AI & Open to Work

    Learning quantum computing concepts and actively open to internships, freelancing, and team collaborations in AI and full-stack development.

Accomplishments

  • Daniel Lewis

    INNS NLP Challenge Winner

    Achieved 82% accuracy in a Natural Language Processing task at the INNS Nurathon NLP Challenge, securing a top position among participants for model performance and solution quality.

    πŸ“„ View Certificate
    πŸ’» View Code on GitHub

  • Jessica Miller

    Participant in DataThon

    Actively participated in the DataThon, contributing to team efforts and showcasing data analysis and problem-solving skills in a competitive environment.
    πŸ‘‰ View Certificate

  • Emily Evans

    Generative AI Certification

    Successfully completed the Principles of Generative AI certification from Infosys Springboard on June 30, 2025, showcasing a strong understanding of how generative models function and their real-world applications in AI-driven systems.

    Key Learnings:

    β€’ Gained insights into Generative Models for Developers, understanding how AI can be used not only to analyze data but also to create new content and outputs. β€’ Explored the architecture and working of OpenAI's Generative Pre-trained Transformers (GPTs) through hands-on examples and foundational concepts. β€’ Developed a solid understanding of OpenAI's Generative AI tools, deepening curiosity and interest in advancing within the field of artificial intelligence.

    πŸ‘‰ View Certificate

  • Henry William

    AI Primer Certification

    Awarded the Artificial Intelligence Primer certification from Infosys Springboard on June 30, 2025, covering key concepts of AI, its real-world impact, and foundational principles.

    As part of this certification, I successfully completed the following core courses:

    Introduction to Data Science: Learned data analysis basics, data lifecycle, and real-world applications of data science.

    Introduction to NLP: Gained hands-on knowledge of text preprocessing, tokenization, and language understanding techniques.

    Introduction to Artificial Intelligence: Explored how AI mimics human intelligence and powers real-world systems.

    Introduction to Deep Learning: Understood neural network architecture, activation functions, and deep learning concepts.

    Computer Vision 101: Learned image processing techniques and real-life applications like face/object detection.

    Introduction to RPA: Explored automation tools and how bots improve efficiency in business workflows.

    πŸ‘‰ View Certificate

Resume

πŸ“„ Checkout My Resume

Education

  1. Pimpri Chinchwad College of Engineering, Pune

    2023 β€” present

    I am currently pursuing a Bachelor of Technology (B.Tech) in Computer Science and Engineering (AIML) from Pimpri Chinchwad College of Engineering, Pune, with a CGPA of 8.4 up to the 4rd semester (2023–Present).

  2. Vidyamandir Junior College, S. D. Patil Nagar, Islampur

    2021 β€” 2022

    I completed my Senior Secondary (12th) from Vidyamandir Junior College, S. D. Patil Nagar, Islampur in 2023, securing 93%

  3. Adarsh Balak Mandir High School, Islampur

    2020 β€” 2021

    Before that, I passed my Junior Secondary (10th) from Adarsh Balak Mandir High School, Islampur in 2021, with an excellent score of 96%.

Experience

  1. Research Intern – Pimpri Chinchwad College of Engineering, Pune

    2025 β€” Present

    Currently working as a Research Intern on a project focused on Crop Disease Classification using Quantum AI. The research involves leveraging quantum machine learning models to improve the accuracy and efficiency of plant disease detection

  2. Data Science & Analytics Intern – Zidio

    June 2025

    Worked as a Data Science & Analytics Intern at Zidio, where I focused on time series forecasting using ARIMA and GARIMA models. I performed data preprocessing, built predictive models, and created visual dashboards to support data-driven decision-making and business insights.

My skills

  • Full-stack Development
    80%
  • DSA
    70%
  • Machine learning
    80%
  • Deep Leraning
    50%

Project

  • finance

    Crop Disease Classification

    Artificial Intelligence

  • Orizon

    SmartAgriCrop

    Artificial Intelligence

  • Fundo

    Code Wave

    Full Stack Development

  • real estate

    Real Estate Price Prediction

    Artificial Intelligence

Research Paper

  • Real Estate Research Paper

    Research

    Real Estate Price Prediction

    A research paper focused on using ML algorithms to predict property prices in urban areas.

  • Quantum Crop Disease

    Quantum AI

    Quantum-Classical Crop Disease Detection

    A hybrid AI approach using 6-qubit circuits and PyTorch for plant leaf disease classification.

  • Crop Estimation

    Agriculture AI

    Agriculture Crop Estimation

    A machine learning-based project for predicting crop yields using real agricultural data.

Contact

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