Mr. Meet Patel | AI Awards | Best Researcher Award

Published on by Network Awards

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:

Orcid

🎓 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

 

 

Ms. Amruta Chougule | AI in Network Awards | Women Researcher Award -2888

Published on by Network Awards

Ms. Amruta Chougule | AI in Network Awards | Women Researcher Award

Ms. Amruta Chougule, Dr. D. Y. Patil Institute of Technology, Pune, India

🌟 Dr. Amruta Chougule is a distinguished AI researcher and educator with a PhD in Deep Learning and an MTech in Embedded Systems. Her academic journey includes a BE in Electronics and a DE in Electronics & Telecommunications, highlighting her strong foundation in technology. As an Assistant Professor at D.Y. Patil College of Engineering and Technology since October 2021, she is renowned for her expertise in AI and ML course development, student mentorship, and driving impactful research initiatives. Previously, as a Senior Software Engineer at Spring Source Technologies, Bangalore, from June 2019 to August 2021, Amruta led pioneering projects in NLP and object detection, leveraging advanced ML algorithms to enhance customer interactions and prevent fraud. Her commitment to advancing AI’s frontiers is underscored by her active participation in conferences and workshops, reflecting her dedication to innovation and excellence in the field. 🖥️

🌐 Professional Profile:

ORCID
Scopus

🎓 Education

Amruta Chougule holds a PhD in Deep Learning, completed in 2021, and an MTech in Embedded Systems from Savitribai Phule Pune University and VIT University Chennai, respectively. She earned her BE in Electronics from Bharat Vidyapeeth College of Engineering, Kolhapur, and a DE in Electronics & Telecommunications from D.Y. Patil Polytechnic.

🌟 Experience

As an accomplished AI Software Engineer and Analyst, Amruta has led groundbreaking research in Artificial Intelligence and Deep Learning. Her expertise spans analysis, design, development, and implementation of cutting-edge AI solutions, collaborating effectively across teams to achieve project excellence.

👩‍🏫 Assistant Professor

Since October 2021, Amruta has served as an Assistant Professor at D.Y. Patil College of Engineering and Technology, Kolhapur. She excels in designing comprehensive AI and ML courses, mentoring students, and guiding impactful research initiatives. Her commitment to advancing AI’s frontiers is evident through her active participation in conferences and workshops.

🖥️ Senior Software Engineer

From June 2019 to August 2021, Amruta worked as a Senior Software Engineer at Spring Source Technologies, Bangalore. There, she spearheaded the development of innovative NLP solutions and object detection systems, leveraging advanced ML algorithms to enhance customer services and detect fraudulent transactions.

📈 Achievements

Amruta led the development of predictive software for business forecasting, applying sophisticated statistical analysis and ML techniques. Her leadership and technical acumen have significantly contributed to the success of various projects, reflecting her dedication to pushing the boundaries of AI in practical applications.

Publication Top Notes:

  • Custom CNN-BiLSTM model for video captioning
    • Published in Multimedia Tools and Applications, 2024
  • Unveiling the Power of Transfer Learning: A Comparative Analysis of Video Features in Captioning Task
    • Presented at a conference, 2023
  • IoT Based Smart Car Monitoring System
    • Presented at the Tenth International Conference on Advanced Computing (ICoAC), 2018