Name: Adit Patel
Profile: Full Stack Developer, Data Engineer, Problem Solver
Email: aditpatel417@gmail.com
Skills
Programming Languages: HTML, CSS, JavaScript, MySQL, C/C++, C#, Python, Embedded C
Libraries and Tools: PyTorch, Sklearn, Pandas, Numpy, Matplotlib, Seaborn, OpenCV, Git, Docker, TensorFlow
Framework/Tools: Figma, WordPress, Magento2, AWS, Bootstrap, UI/UX, React.js, React Native, Next.js, Node.js, Express.js, ASP.NET, MYSQL Server, Microsoft SQL Server, DBMS, Microsoft Excel, Power BI
ML & NLP Architectures: CNN, YOLO, Transformers (BERT, DeBERTa), NER (BERT-based, CRF)
About me
I am currently pursuing my Master's in Computer Science at Arizona State University, Tempe, where I am driven by a passion for technology and a commitment to solving complex problems. Throughout my academic journey and various internships, I have developed a strong foundation in full-stack development, machine learning, and data engineering.
My technical expertise spans a wide range of programming languages, tools, and frameworks, and I have successfully applied these skills to real-world challenges through the development of web applications and machine learning models. I thrive on the opportunity to tackle difficult problems, always seeking innovative solutions that drive meaningful impact.
As I continue to grow in my career, my ultimate goal is to become a versatile problem solver who can adapt to new challenges and contribute to transformative projects. I am eager to collaborate with others, leveraging my skills and knowledge to create effective and impactful solutions.
Education
Master of Computer Science
Arizona State University, Tempe, Arizona
Aug 2023 - May 2025
Coursework: Data Visualization, Statistical Learning, Data Mining, Cloud Computing, Information Assurance, Knowledge Representation
Bachelors in Information and Communication Technology
Pandit Deendayal Energy University, Gujarat, India
Jul 2019 - May 2023
Coursework: Data Structures, Algorithms, Object-oriented Concepts, Machine Learning, AI, Embedded Systems, Cloud Computing, Big Data
Experience
Data Engineering Intern
eChemPortal, Inc., Texas, USA
May 2024 - Aug 2024
During my time as a Data Engineering Intern at eChemPortal, Inc., I played a pivotal role in enhancing the company's email management system by implementing a zero-shot classification model (DeBERTa). This implementation significantly improved the accuracy of email categorization, reaching an impressive rate of over 99%. Additionally, I developed and deployed chemical entity extraction models using BERT-based NER and ChemDataExtractor, which streamlined the data processing and analysis workflow. I also engineered a chemical price predictor using Microsoft SQL Server combined with logarithmic regression techniques, providing the team with valuable insights that directly impacted pricing strategies.
Software Development Intern
Moltech Solutions, Gujarat, India
Jan 2023 - May 2023
As a Software Development Intern at Moltech Solutions, I was responsible for developing over 100 APIs using ASP.NET, Python, and C#. This role demanded not only technical expertise but also the ability to handle full stack development, from server-side logic to front-end integration. I created stored procedures for multiple web applications, encompassing CRUD operations, complex report generation, and Excel sheet management within MS SQL Server. Working in a Next.js and Express.js environment, I effectively managed state in React with TypeScript/JavaScript, enhancing both productivity and code maintainability. My proactive contributions were pivotal in delivering high-performing web applications and improving overall development efficiency.
Frontend Development Intern
Moltech Solutions, Gujarat, India
Oct 2021 - Mar 2022
My internship as a Frontend Developer at Moltech Solutions allowed me to contribute significantly to the design and development of live web applications that were not only functional but also user-centric. I utilized a range of tools, including Visual Studio Code, Microsoft SQL Server, and React.js, to deliver projects that met high standards of user experience. My role also involved enhancing the UI/UX design process with Figma, HTML, CSS, JavaScript, Bootstrap, and React.js. This internship was a critical period where I honed my skills in front-end development while working collaboratively across teams to ensure the delivery of high-quality solutions on time.
Projects
AWS Serverless Video Analysis Platform
Developed and optimized a scalable video analysis platform on AWS using Lambda, S3, IAM, and FFmpeg, integrated with ResNet-34 for face recognition.
Data Visualization Projects
Developed advanced D3.js visualizations, including interactive systems for economic trends and global datasets with enhanced user interactions.
Automatic Number Plate Recognition
Engineered a deep learning system with 94.29% accuracy for real-time license plate detection, leveraging InceptionV3 and ResNet50.
Lung Cancer Detection Using Machine Learning
Conducted research using Python, TensorFlow, and Scikit-learn to improve early lung cancer detection, comparing various ML algorithms.