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Click here or scroll down to respond to this candidate Candidate's Name
Raleigh, NC Street Address |(PHONE NUMBER AVAILABLE | EMAIL AVAILABLE | LINKEDIN LINK AVAILABLE
EDUCATION
North Carolina State University, Raleigh NC, USA August Street Address - May 2025
Master of Computer Science GPA: 3.8/4.0
Coursework: Design and Analysis of Algorithms, Software Engineering, Computer Networks, Object Oriented Design &
Development, Neural Networks and Deep Learning, Operating systems.
Vardhaman College of Engineering, Hyderabad, India July 2017 - June 2025
Bachelor of Information Technology GPA: 3.7/4.0
TECHNICAL SKILLS AND CERTIFICATIONS
Languages: Java, Python, JavaScript, C#, TypeScript, C++, C, MATLAB, Apex, R, Ruby, Go
Web Technologies: HTML, CSS, React, PHP, Redux, Node.js, jQuery, NestJS, Next.js
Frameworks: .NET, ASP.NET Core, Spring Boot, Angular, Express, SAP, Flask, Django, Ruby on Rails, Vue.js
Databases: MySQL, Microsoft SQL Server, Firebase, Oracle, MongoDB, PostgreSQL, Snowflake, MariaDB
Tools: Azure, Jira, Salesforce, AWS, Git, Linux, Power BI, Postman, Jenkins, Terraform, Splunk, Kubernetes, Docker
Certifications: Salesforce Certified Administrator (2022), Salesforce Certified Platform Developer-1 (2022), Salesforce
Certified Platform App Builder (2022), Salesforce Certified Sales Cloud Consultant (2023)
WORK EXPERIENCE
Software Engineer MTS: Salesforce, Hyderabad, India December 2021 - July 2023
Designed Salesforce platform enhancements using Apex, and cloud technologies, focused on web development.
Resolved technical issues and bugs, ensuring 99% platform uptime and optimizing overall system performance.
Engineered and developed three custom Chrome plugins using JavaScript and React, integrated with Salesforce tools,
which automated continuous monitoring tasks, reducing manual effort by 68% and increasing the Proactive
Monitoring Team's efficiency.
Revamped custom user interfaces in Lightning using Visualforce pages, Lightning Web Components (LWC), and Aura
Components, which improved user experience by 85% and streamlined workflow processes.
Integrated Salesforce with external systems using Salesforce Connect, RESTful APIs, SOAP APIs, and MuleSoft,
facilitating seamless data flow for over 1 million records across multiple applications, improving system
interoperability and operational efficiency for 500+ users.
Software Engineer: Mindtree, Hyderabad, India June 2021 - November 2021
Architected the system framework for a migration project, collaborating with developers throughout the SDLC to build
an application leveraging AWS Lambda, EC2, and RDS. Optimized database queries, reducing execution time by 25%,
and efficiently supported over 10,000 daily transactions.
Streamlined application performance by optimizing database queries and implementing caching mechanisms,
enhancing the overall responsiveness of the ASP.NET application in conjunction with the migration project.
Devised authentication and authorization mechanism leveraging ASP.NET Identity, fortifying the application s security
architecture by enforcing granular access control, and enhancing overall system integrity.
Leveraged Angular and ASP.NET to optimize server-side logic and APIs, handling over 12,000 system interactions daily.
Streamlined Docker containerization, reducing deployment time by 36% through automated CI/CD processes.
PROJECTS
Job Application Tracker
Pioneered a full-stack Job Application Tracker with modular architecture using Python, PHP, JavaScript, Bootstrap,
MySQL, and AWS, reducing deployment time and ensuring scalability for seamless job management.
Implemented reminders, automated emails, and data visualization dashboards, improving task tracking efficiency by
30%, and integrated LinkedIn and Glassdoor APIs for real-time job insights, enhancing data accuracy.
Utilized Docker for containerization and Kubernetes for automated scaling and management, significantly enhancing
deployment efficiency and system reliability.
Task Management System
Designed a task management system with Java, Spring-Boot, MongoDB, Next.js featuring multi-user login improving
task management speed by 40% and ensuring smooth functionality across diverse profiles.
Integrated priority-based task tracking, email reminders, and collaboration tools, increasing on-time task completion
by 65% and boosting team productivity through shared task lists and real-time communication.
SmartHealth: Personalized Health and Nutrition Platform
Developed a full-stack web application using React.js, Flask, and MongoDB for personalized health recommendations,
reducing manual tracking by 50%. Integrated AWS Lambda for scalable, serverless processing.
Engineered a machine learning model leveraging TensorFlow and the Food-101 dataset to classify 1500+ food items,
enhancing nutritional information accuracy. Applied transfer learning using InceptionV3 and real-time updates using
WebSockets for dynamic health recommendations and progress tracking.
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