- Implemented five enhancement features with Exception Handling and Logging, reducing downtime by 20% and error resolution time by 15%.
- Planned, tracked, and managed deliverables for 90+ short-term sprints and 5+ long-term deployments.
- Assisted a team in utilizing DevOps, agile principles, and Jenkins to enable CI/CD, decreasing production time by 40%.
- Analysed and created documentation on new live project acquired by the company using debugging techniques and Postman.
- Tested software for bugs and operating speed, fixing bugs and documenting processes to increase efficiency by 18%.
Zeel Patel
I'm
Ever dreamt of hiring someone who can type an email with one hand while solving world peace with the other? Look no further.
Experienced developer proficient in backend, frontend, and data science, dedicated to crafting visually captivating and intuitive websites.
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About Me
My introduction
I am currently pursuing my Master's in Software Engineering Systems at Northeastern University, where I've maintained a GPA of 4.0. My academic journey is anchored in a solid foundation of Object-Oriented Design, Data Science Engineering Methods, and Database Management. I also hold a Bachelor's degree in Computer Engineering from Gujarat Technological University, where I honed my skills in Machine Learning, Artificial Intelligence, and Software Embedded Systems.
Frontend
HTML
CSS
Bootstrap
JavaScript
Vue
React
Angular
Backend
JAVA
Python
PHP
C++
Database
MySQL
PostgreSQL
MongoDB
Machine Learning
Regression
Classification
Clustering
PCA
Hypothesis Testing
Data Analysis
Decision Modelling
Generative AI
Experience 1+ year
Software Engineering Intern ( Feb 2023 – Jun 2023 )
@ Ordex Technology Solution Inc
Full Stack developer ( Jun 2021 – Jun 2022 )
@ Softvan Pvt Ltd
- Analyzed and processed data with Python libraries like Pandas and NumPy to develop robust data-driven applications, enhancing data insights and decision-making processes.
- Saved over 200 hours of development time per month by creating reusable components for the in-house UI library, contributing to increased efficiency.
- Followed Agile product development methodologies to develop 40+ applications, ensuring timely delivery and alignment with business objectives.
- Collaborated with developers to implement RESTful APIs in Django, resulting in a 24% increase in analytics reporting speed.
- Designed and optimized relational databases, crafting efficient schemas and SQL queries to streamline data management and improve the performance of data-centric applications.
Open-Source developer ( Jun 2021 – Jun 2022 )
@ GitHub Projects
- Contributed to the project using TypeScript, Python Flask, Docker, and PostgreSQL to facilitate search end point API.
- Developed unit tests for components and integration test for seamless module interactions, ensuring 100% automated testing.
- Collaborated with project manager to understand project problems and delivered end point within tight deadline.
TempAco Housing MarketPlace
Java, AWS Elastic Beanstalk, PostgreSQL, JWT, Spring Security, AWS CodePipeline, AWS CodeBuild, VPC, Security Groups, IAM
- Developed and deployed a Java Spring Boot application on AWS Elastic Beanstalk, leveraging Maven for project management and integrating PostgreSQL on AWS RDS for robust and scalable data storage.
- Implemented JWT-based authentication and Spring Security to secure RESTful APIs, ensuring robust access control and data privacy within the application.
- Built a CI/CD pipeline using AWS CodePipeline and CodeBuild, automating the build, test, and deployment processes to AWS Elastic Beanstalk, significantly reducing manual intervention and enhancing release efficiency.
- Configured AWS infrastructure components including VPC, Security Groups, and IAM roles, ensuring secure networking and controlled access between AWS services for optimal application performance.
- Utilized AWS S3 for managing build artifacts and logs, optimizing storage and retrieval processes, and enabling easy integration with other AWS services for improved deployment automation and monitoring.
Email Web Scraper
Python
- Designed and implemented a web scraper using Python and BeautifulSoup to extract faculty email addresses from university websites, streamlining data collection for academic networking.
- Automated web navigation and data extraction by following internal links and handling SSL certificate verification issues, resulting in a robust and reliable data retrieval process.
- Developed a Python-based email automation script using win32com.client to programmatically send customized emails through Microsoft Outlook, enhancing efficiency in communication workflows.
TextToQueryAI with
Google Gemini API
- Implemented Google's Gemini for semantic analysis, developing an NLP pipeline that converts unstructured text into structured SQL commands, streamlining data processing.
- Enhanced user interaction and accessibility for the text-to-SQL model by engineering a user-friendly interface with Streamlit.
- Achieved a 25% improvement in system responsiveness and accuracy through advanced prompt engineering, optimizing AI performance.
- Optimized the performance and accuracy of the text-to-SQL conversion through rigorous A/B testing, resulting in a 15% improvement in conversion accuracy.
Check It Out! Library
Java, SpringBoot, React
- Architected an API Gateway with Spring Cloud Gateway, facilitating efficient and secure communication between microservices, resulting in a 20% reduction in latency and a 15% decrease in vulnerabilities.
- Deployed microservices security measures using Keycloak, Circuit Breaker, and Distributed Tracing, leading to a 30% reduction in downtime.
- Integrated Grafana dashboards for real-time system health visualization, enhancing troubleshooting capabilities and operational insights.
Full-Stack Data Processing System
AWS
- Designed and implemented a user-friendly interface for file uploads with fields for names, email, and a license agreement checkbox, ensuring compliance and maintaining user data integrity.
- Developed a scalable and secure cloud-based file storage system utilizing AWS services such as Amazon API Gateway, Lambda, DynamoDB, and S3, enabling efficient data management.
- Strengthened network security by establishing a Virtual Private Cloud (VPC) with a well-designed subnet architecture, effectively isolating and protecting cloud resources from unauthorized access.
Real-estate Price Prediction
Machine Learning
- Engineered detailed data visualizations with Matplotlib and Seaborn, contributing to a 20% increase in understanding real estate data trends.
- Enhanced machine learning model accuracy by 15% through feature engineering, scaling techniques, and rigorous K-fold cross-validation.
- Executed thorough data cleaning, preprocessing, and one-hot encoding of categorical variables, resulting in an impressive 82% accuracy rate in predictive modeling.
Sales Insight Dashboard
Power BI
- Designed a dynamic Sales Insight Dashboard in Power BI, integrating data from over five sales channels, delivering a comprehensive view of sales performance and trends.
- Developed interactive visualizations and drill-down capabilities in Power BI, increasing stakeholder engagement with sales data exploration by 20%.
- Automated data refresh and scheduling processes in Power BI using DAX and Power Query, reducing manual update efforts by 70% and ensuring daily data accuracy.
- Conducted advanced data analysis and mining to uncover critical sales insights, leveraging SQL and Power BI's analytical tools for strategic decision-making.
E-commerce Inventory
JAVA
- Designed an API Gateway using Spring Cloud Gateway, ensuring efficient and secure communication between microservices, reducing latency by 20% and enhancing security posture with a 15% reduction in vulnerabilities.
- Implemented microservices security with Keycloak, Circuit Breaker, and Distributed Tracing, reducing downtime by 30% and enhancing scalability by 25% with optimized resource utilization.
- Integrated Grafana dashboards for real-time system health visualization and improved troubleshooting.
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