UPANYA CHEETI
Melbourne,Florida
Summary
Dynamic and detail-oriented Technical Support Engineer with a strong foundation in network security, programming, and machine learning. Demonstrated success in developing innovative solutions and enhancing user trust in digital platforms. Proficient in troubleshooting, technical support, and customer service, with extensive experience in deploying and maintaining technical solutions for optimal performance and user satisfaction.
My groundbreaking thesis, titled "Facial Expression-Based Remote Authentication for Facial Recognition," utilizes dynamic facial expression analysis to counteract sophisticated spoofing attacks such as 3D masks and deepfakes, significantly enhancing biometric system security.
Overview
7
7
years of professional experience
Work History
Technical Support Engineer Intern
Ambest Technologies
10.2018 - 12.2018
- Acquired practical knowledge in developing HTML pages and designing JavaScript applications.
- Supported the application of core Java in industrial projects, providing technical assistance and troubleshooting.
- Collaborated with the development team to resolve technical issues and improve system performance.
Technical Support Engineer Intern
Advanced Training Institute, ATI-EPI
06.2017 - 07.2017
- Gained hands-on experience with PIC and 8051 microcontroller programming
- Worked as technical support engineer for microcontroller-based projects, ensuring timely resolution of issues.
- Assisted in the development and testing of hardware and software solutions.
Thesis Project
Biometrics and Cyber Security
01.2024 - 07.2024
- To enhance biometric security against spoofing attacks, my thesis proposes combining facial expression analysis with existing frameworks
- This approach utilizes the complexity of human expressions, difficult to replicate with masks or deepfakes, for real-time authentication
- Titled 'Remote Authentication Using Facial Recognition with Expressions,' my research focuses on developing a secure system using live facial expression detection to strengthen defenses and improve user trust in sensitive sectors like banking
- This project aims to bridge the gap between affect computing and face recognition for a robust solution.
Programmer For The Project
Packet Guide AI
09.2023 - 12.2023
- Led the development of Packet-Guide-AI, a project inspired by the capabilities of ChatGPT
- This initiative brings conversational AI to network research, featuring real-time packet analysis and an interactive user interface
- The project is open-sourced on GitHub and utilizes OpenAI's LLMs with a Python backend, leveraging Scapy for network operations.
Data Analyst Using ML Algorithms
Stock Price Prediction Using ML Algorithms
08.2023 - 12.2023
- Applied advanced ML algorithms, including LSTM and Random Forest, to predict stock prices
- My role involved deep analytical research and modeling to harness candlestick data for enhancing decision-making processes in stock trading
- This project underscored the potential of AI and machine learning to transform financial analytics.
Group Lead
Cardio Vascular Disease Prediction Using Machine Learning
02.2020 - 04.2020
- Created and executed a machine learning algorithm to forecast the occurrence of cardiovascular disease by utilizing patient information to pinpoint individuals who are susceptible
- Employed sophisticated techniques for feature engineering and data preprocessing to improve the precision of predictions
- Assessed the effectiveness of algorithms such as Stochastic Gradient Descent (SGD) and Support Vector Machines (SVM), ultimately determining that SGD yielded the most favorable outcomes.
Education
Master of Science: Computer Science -
Florida Institute Of Technology
Bachelor of Technology (BTECH): Electronics and Computer Engineering -
Sreenidhi Institute Of Science and Technology
Skills
- Technical Support
- Troubleshooting and diagnosis
- Customer Needs Assessment
- Analytical Thinking
- Python Programming
- Machine Learning and AI
- Network Security
- Biometric Authentication
- Computer Vision
- Open-Face Technology
Publications
Cardiovascular Disease Prediction using Machine Learning Techniques, JETIR (Journal of Emerging Technologies and Innovative Research), 2020
Community Service
Walk For a Cause Certificate, Cancer Foundation India
Hobbies and Interests
Baking
Baking
Baking brings me joy, and I am always eager to learn new cake baking techniques and test out unique flavor combinations.
Languages
English
Full Professional
Telugu
Native or Bilingual
Hindi
Full Professional
Timeline
Thesis Project
Biometrics and Cyber Security
01.2024 - 07.2024
Programmer For The Project
Packet Guide AI
09.2023 - 12.2023
Data Analyst Using ML Algorithms
Stock Price Prediction Using ML Algorithms
08.2023 - 12.2023
Group Lead
Cardio Vascular Disease Prediction Using Machine Learning
02.2020 - 04.2020
Technical Support Engineer Intern
Ambest Technologies
10.2018 - 12.2018
Technical Support Engineer Intern
Advanced Training Institute, ATI-EPI
06.2017 - 07.2017
Master of Science: Computer Science -
Florida Institute Of Technology
Bachelor of Technology (BTECH): Electronics and Computer Engineering -
Sreenidhi Institute Of Science and Technology
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