| Contact: +1 716-907-7718 | srikarchintha444@gmail.com |
About Me
🌟 I am a seasoned software developer with over 4 years of professional experience at NCR Corporation. During my tenure, I have played integral roles ranging from Software Engineer Intern to Software Engineer II, where I led significant projects and initiatives, demonstrating a strong aptitude for both leadership and technical innovation.
🔍 Currently, I am pursuing my Master of Science in Computer Science at the University at Buffalo, specializing in Machine Learning, Deep Learning, and Computer Vision. My academic journey is bolstered by a solid foundation in Computer Engineering, where I graduated from Vasavi College of Engineering, Osmania University with a CGPA of 9.21/10.
💡 I am passionate about leveraging my skills in cutting-edge technologies to drive impactful solutions. My technical expertise spans a wide range of languages and tools, including C#, C++, Java, Python, and various web technologies. I am also adept in database management, using MYSQL and MongoDB, and employ a keen understanding of Data Structures, Algorithms, and Design Patterns.
🚀 In my recent projects, I have developed innovative solutions in areas such as ATM customer experience enhancement, telecom customer churn prediction, e-commerce fraud detection, and IoT-based robotics. These projects not only showcase my technical skills but also my ability to lead and execute complex projects effectively.
🏆 My commitment to excellence has been recognized through awards like the Customer First Awards and the Young Leader Award 2019. I have also contributed to the technical community through leadership roles in events like the Technical Fest ‘ACUMEN’.
💼 As I continue to evolve in my professional and academic pursuits, I am excited to explore opportunities where I can contribute my expertise in software development and my growing knowledge in Machine Learning, Deep Learning, and Computer Vision.
Education
Master of Science in Computer Science
University at Buffalo, The State University of New York, USA
Aug 2023 - Dec 2024
CGPA: 3.92/4.0
Relevant Courses: Algorithms, Operating Systems, Machine Learning, Deep Learning, Computer Vision
Bachelor of Engineering in Computer Engineering
Vasavi College of Engineering, Osmania University, Hyderabad, India
Aug 2015 - May 2019
CGPA: 9.21/10
Relevant Courses: Computer Architecture, Computer Networks
Professional Experience
Software Engineer II, NCR Corporation | India
Apr 2021 - Aug 2023
- Led collaboration with PNC Bank, Citizens Bank, Visa DPS, and Fiserv, ensuring successful project implementation and client satisfaction.
- Directed and mentored a team in applying design patterns in C#, resulting in enhanced code efficiency and performance.
- Managed the software development lifecycle, emphasizing strategic planning and execution.
- Initiated and led a Quality Improvement program, achieving 100% code coverage and significant reduction in defects.
- Designed and conducted a comprehensive training program, reducing onboarding time for new hires by 30%.
- Spearheaded the implementation of CI/CD pipelines, boosting deployment efficiency and reliability.
Software Engineer I, NCR Corporation | India
Jul 2019 - Mar 2021
- Played a pivotal role in the development of the ATM software’s Business Services layer, leading to a 30% decrease in production issues.
- Led feature enhancements and bug fixes, demonstrating problem-solving skills and technical expertise.
- Developed a tool for SLA monitoring using Electron.js, showcasing innovation and proactive approach.
Software Engineer Intern, NCR Corporation | India
Mar 2019 - Jun 2019
- Independently developed a tool for ATM log analysis, enhancing the efficiency of troubleshooting processes.
Technical Skills
- Languages: C#, C++, Java, Python, Spring Boot
- Web Technologies: HTML, CSS, JavaScript, Angular JS, React JS
- Databases: MYSQL, MongoDB
- Others: Data Structures, Algorithms, Design Patterns, Agile Methodologies, JIRA, Confluence, Version Controls, Jenkins, Neural Networks
Academic Projects
VisionNxt (Jul 2022)
- Developed an end-to-end solution to enhance customer experience in ATM usage, saving user time.
- Created a web application using MongoDB, React.js, Node.js, and Express.js.
- The application provides information on the nearest operational ATM with desired transactions and available denominations.
Telecom Customer Churn Prediction (Aug 2023)
- Project Leader: Developed a predictive model using machine learning techniques (KNN, Logistic Regression) to forecast customer churn for a telecom company.
- Analyzed IBM’s sample dataset, conducted extensive data cleaning and exploratory data analysis.
- Created a Flask-based web tool for users to input parameters and receive churn predictions.
- Achieved a model accuracy of 82%, demonstrating effective data handling and modeling skills.
Fraud Detection in E-Commerce (Jun 2023)
- Team Lead: Designed a system to detect fraudulent activities in e-commerce transactions using Python and data analytics.
- Implemented RFM (Recency, Frequency, Monetary) algorithm to segment customers based on behavioral patterns.
- Applied predictive analytics to identify high-value customers and potential fraud cases.
- Enhanced security measures and customer trust for the e-commerce platform.
Humanoid Robot (Jan 2019)
- Project Leader: Engineered a humanoid robot capable of walking, talking, and responding to queries using Google Assistant.
- Integrated Raspberry Pi, Node-MCU with ESP8266 Wi-Fi module, and Arduino IDE for hardware control.
- Utilized C++, IFTTT, and Adafruit IO for programming and connecting various devices.
- Demonstrated innovation in IoT and robotics, achieving seamless interaction between the robot and its environment.
Activities and Achievements
- Customer First Awards: Recognized for exceptional leadership and coordination in software release at Fulton and PNC banks.
- Young Leader Award 2019: Honored as the best outgoing student in the Computer Engineering branch for exemplary leadership.
- Technical Fest ‘ACUMEN’: Led the organization and supervision of the event, including workshops on IoT and Machine Learning, demonstrating strong leadership and organizational skills.