Hello There!
I am a Computer Science and Engineering Graduate Student at Santa Clara University, California.
With experience in full-stack development, data engineering, and software development, I'm well-versed in web development technologies, database systems, and object-oriented programming languages like Python, Java, JavaScript, and ReactJS. What really drives me is using technology to solve real-world problems, which is why I've worked on various projects using my strengths in web technologies and my interest in Machine Learning and Image Processing, including libraries and frameworks such as Pandas, Scikit-learn, TensorFlow, and Keras. With my two years of experience as a database developer, I've been able to automate SQL procedures, improve data consistency and reliability, and deliver results using PowerBI tools.
My keen interest in full-stack development and data analysis utilizing machine learning and image processing continues to inspire me to research, learn, and apply my knowledge and skills to my future endeavors. I am eager to take on new challenges and contribute my expertise to innovative projects.
Skilled software engineer with a Master's in Computer Science, experienced in data structures, algorithms, and cloud architecture. Proven track record in improving data consistency, developing automated pipelines, and designing robust software systems. Proficient in SQL, Python, C++, Java, AWS, and DevOps tools, suitable for various software engineering roles.
Santa Clara University, CA, USA
Sep 2022 - Jun 2024 | GPA: 3.7/4.0
Relevant Courses: Design and Analysis: Algorithms, Computer Architecture, Advanced OS, Web Architecture, Database Systems, Data Mining, Artificial Intelligence, Machine Learning
Nitte Meenakshi Institute of Technology, KA, India
Aug 2016 - Aug 2020 | GPA: 3.7/4.0
Relevant Courses: Algorithms, Database Systems, Machine Learning, Unix, Web Development, Advanced Java, Python Programming
Emerging Research in Computing, Information, Communication and Applications (ERCICA)
Nov 2021 | Lecture Notes in Electrical Engineering, vol 789. Springer, Singapore
AWS Certified Cloud Practioner Certificate
Jun 2024 | Amazon Web Services (AWS)
Western Allied Mechanical | Apr 2024 - Present
Frugal Innovation Hub | May 2023 - Mar 2024
Wipro Technologies | Sept 2020 - Aug 2022
Canbank Computer Services Ltd. | Jun 2019 - Jul 2019
Leveraged Keras with Tensorflow backend to develop a highly accurate image classification model by implementing Convolutional Neural Network (LeNet 5 Architecture) for identifying Leukemia from white blood cell images achieving exceptional accuracy rates of 91% for training and 87% for testing. Created an interactive and user-friendly web application with Python’s Flask framework, HTML, CSS, and JavaScript, enabling seamless use of the image classification model’s results.
Full stack IOT web application hosted on Amazon EC2 Apache web server, using ESP32CAM for barcode scanning
Created REST API's utilizing Flask and Python, along with HTML/CSS, Javascript-Ajax to enable real-time update of products in user's cart.
Full-stack web application leveraging ReactJS and HTML5/CSS3 to implement a dynamic mapping feature that allowed users to locate and tag individual’s locations on Google Maps, facilitating communication and support between NGOs and individuals in need.
Integrated Google Maps API with JavaScript to display and pin locations on maps, and Python with Google Auth, and MySQL for authentication and location storage.
Developed an algorithm to calculate the Air Quality Index (AQI) for hourly pollutant values and assigned corresponding labels based on established guidelines.
Constructed a predictive model using the Random Forest Regressor algorithm to accurately forecast the AQI, leveraging insights gained from exploratory data analysis (EDA) and comprehensive dataset preprocessing techniques.
Evaluated the performance of the predictive model on previously unseen data, achieving an impressive accuracy rate of 82% and demonstrating its robustness and reliability.
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