Mr. Meet Patel | AI Awards | Best Researcher Award

Mr. Meet Patel, Deutsche Bank, India

Mr. Meet Patel is a proficient Senior Analyst at Deutsche Bank, India, with a Bachelor of Technology in Computer Science from the Institute of Technology, Nirma University. Graduating in 2022 with an impressive GPA of 8.73, he has a robust technical skill set encompassing programming languages, databases, and various developer tools and technologies. Meet’s professional experience includes optimizing transaction reporting and enhancing image captioning models at Deutsche Bank, as well as developing secure backend APIs and cloud services during his internship at Bullsurge. His research contributions at Dr. Sudeep Tanwar’s Research Group focus on autonomous vehicle efficiency and medical image categorization, showcasing his dedication to advancing technology and innovation.

Professional Profile:

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🎓 Education:

Bachelor of Technology in Computer Science from the Institute of Technology, Nirma University, Ahmedabad, India (May 2022), with an impressive GPA of 8.73. Studied courses like Data Structures & Algorithms, Object-Oriented Programming, Databases, Operating Systems, Web Development, Software Engineering, Microservices Architecture, Machine Learning, Deep Learning, NLP, and Big Data Analytics.

💻 Technical Skills:

Proficient in multiple programming languages including C/C++, Java, Python, GoLang, Dart, HTML/CSS, JavaScript, SQL, and Shell. Experienced with databases like MySQL, MongoDB, Firebase, DynamoDB, Apache Cassandra, Redis, and PostgreSQL. Skilled in developer tools such as Github, Confluence, Jira, Bitbucket, VS Code, IntelliJ, Android Studio, Unix/Linux, Postman, and TeamCity. Familiar with technologies and frameworks including Spring Boot, MERN stack, Django, Flutter, Docker, Kubernetes, AWS, GCP, Tensorflow, Pytorch, Hadoop, and Spark.

🏢 Work Experience:

Senior Analyst at Deutsche Bank (July 2022 – Present):
Engineered core microservices to automate transaction reporting for big data, optimized resource utilization, and enhanced the production efficiency of an image captioning model.

Software Engineer Intern at Bullsurge (December 2021 – June 2022):
Developed secure backend APIs, architected investment management portals, and deployed services to AWS cloud infrastructure.

Technology Analyst Intern at Deutsche Bank (May 2021 – July 2021):
Developed a context-aware chatbot, optimized NLP techniques, and designed a ReactJS-based chatbot interface.

🔬 Research Experience:

Research Assistant at Dr. Sudeep Tanwar’s Research Group (August 2022 – Present):
Led research on the “HyDiT” project for efficient Autonomous Vehicles, collaborated on projects innovating visual-language fusion modules, and conducted independent studies on medical image categorization for disease diagnosis.

Publication Top Notes:

Explainable AI for GastroIntestinal Disease Diagnosis in Telesurgery Healthcare 4.0

A Privacy-Preserving Federated Learning Approach for Autonomous EVs in Green Open RAN

Mr. Doudou Ren, Xinjiang University, China

Mr. Doudou Ren, a dedicated Master’s student at Xinjiang University 🇨🇳, is excelling in Computer Science and Technology, ranking 21st in his class. He previously graduated 4th in his class with a Bachelor’s in Internet of Things Engineering from Anhui University of Engineering 🎓. Doudou has contributed to several significant projects, including the State Grid Project, where he optimized low-resolution equipment defect identification algorithms using image enhancement techniques 🛠️. His research includes an independently published paper on a small object detection algorithm and contributions to the “Group Intelligent Autonomous Operation Smart Farm” project, developing crop scenario perception models 🌾. At the Xinjiang Multilingual Information Technology Laboratory, he is actively engaged in multiple National Natural Science Foundation projects, showcasing his expertise and commitment to advancing technology and research 🔬.

Professional Profile:

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📚Education:

Doudou Ren is currently pursuing a Master’s Degree in Computer Science and Technology at Xinjiang University’s School of Computer Science and Technology, a National First Class Construction Discipline, where he ranks 21st in his class. He previously completed his Bachelor’s Degree in Internet of Things Engineering at Anhui University of Engineering’s School of Computer and Information Technology, graduating with a professional score ranking of 4th out of 88 students.

🎓Work Experience:

Doudou Ren has participated in several significant projects, including the State Grid Project (Horizontal) where he worked on optimizing low-resolution equipment defect identification algorithms based on image enhancement (SGXJXT00JFJS2200076). His responsibilities included writing technical reports and final accounts detailing project objectives, methods, implementation processes, and results. He also independently wrote and published an academic paper titled “MFDF-YOLOv7: YOLOv7-Based Multiscale Feature Dynamic Fusion Small Object Detection Algorithm”. Additionally, he contributed to the National Major Science and Technology Project “Group Intelligent Autonomous Operation Smart Farm” (National Class B), focusing on developing a crop growth scenario understanding model (2022ZD0115802). In this role, he was responsible for extracting characteristic information of grass pests, designing crop scenario perception models, writing project documents and technical reports, and conducting experiments to verify model performance in real farm environments. As a key researcher at the Xinjiang Multilingual Information Technology Laboratory, Doudou is currently involved in multiple National Natural Science Foundation projects.