Education
- PhD in Automation and Robotics, BITS Pilani, Hyderabad Campus 2025 (expected)
- M.Tech in Advance Manufacturing Systems, VNR Vignan Jyothi Institute of Engineering and Technology, 2020
- B.Tech in Mechanical Engineering, St. Martins Engineering College, 2018
- Diploma in Mechanical Engineering, Govt. Polytechnic college, 2014
Work experience
- Visiting Doctoral (Aug, 2024 - Present)
- Purdue University
- Duties Include: Working on augmented Reality in manufacturing and assembly areas
- Data Analyst (Jan - april, 2024)
- Nexa Digital Engineering Services, US based Company
- Duties Includes: Process extraction form PID Drawings
- Senior Research Fellow (Aug, 2022 - Present)
- BITS Pilani, Hyderabad Campus
- Duties Includes: Artificial Intelligence-based Assembly Areas Inspection (Quality Assurance) detection – I led a groundbreaking R&D project in aerospace assembly component alignment. Our integrated image acquisition system harmonized deep learning, image processing, and machine learning for precise object detection and data segmentation. I converted pixel measurements into real-world dimensions for comprehensive analysis, showcasing innovation and precision.
- Junior Research Fellow (Dec, 2020 - Aug, 2022)
- BITS Pilani, Hyderabad Campus
- Duties Includes: Computer Vision-based Assembly Components Features Identification – Led the development of a high-quality image acquisition system to capture assembly component images, overcoming challenges like shadow and reflection. Achieved 100% accurate component classification with deep learning and conducted precise dimension calculations. Demonstrated a research-driven approach to real world mechanical component analysis.
Skills
- Engineering Tools: AutoCAD, CATIA, CNC Train, Master CAM, FLEXSIM, Automation Studio, Unity, MRTK
- Programming Languages: Python, C/C++, Basic knowledge of C language
- AI and Machine Learning: Computer Vision, LLMs, AI, ML, DL, GenAI, HCI
- Web Development: GUI, Django
- Databases: MongoDB, SQL, Postgres
- Deep Learning Frameworks: Pytorch, Tensorflow, Tensorboard
- Computer Vision Tools: OpenCV, Matplotlib
- Operating Systems: Linux, Windows, MAC
- Cloud Platforms: AWS, Google Colab, Microsoft Azure
- Version Control: GitHub, GitLab
- Software Proficiency: MS-Office Applications (MS Word, MS Powerpoint, MS Excel)
Achievements
- Qualified in GATE 2018
- DIAT Online Certification Course on AI and ML
- NPTEL Course Certification on JOY OF COMPUTING USING PYTHON
- Trained on Hyperform software in Altair HyperWorks at Pune
- Internship in HMT Praga Tools Limited
- Selected by AIRBUS GmbH, Germany, under the scheme of IGSTC Industrial Fellowship
- Selected by PURDUE University, US, under the scheme of Overseas Visiting Doctoral Fellowship
Publications
Ramesh, Kaki, Faisel Mushtaq, Sandip Deshmukh, Tathagata Ray, Chandu Parimi, Ali Basem, and Ammar Elsheikh. "An investigation of deep learning approaches for efficient assembly component identification." Beni-Suef University Journal of Basic and Applied Sciences 13, no. 1 (2024): 79.
Kandukuri, Prudviraj, Ramesh Kaki, Sandip Deshmukh, and Supradeepan Katiresan. "Visualization experiment and machine learning modeling for falling-film systems." Chemical Engineering Research and Design 199 (2023): 399-412.
Jain, Toshit, Faisel Mushtaq, Kaki Ramesh, Sandip Deshmukh, Tathagata Ray, Chandu Parimi, Praveen Tandon, and Pramod Kumar Jha. "Development of Machine Vision Approach for Mechanical Component Identification based on its Dimension and Pitch." arXiv preprint arXiv:2310.01995 (2023).
Ramesh kaki, samarth Soni, Sandip Deshmukh, Tathagata Ray, Chandu Parimi, A Novel Approach to Generate Dataset for Object Detection in Assembly Lines, Proc. International Conference on Mechanical, Automotive and Mechatronics Engineering (ICMAME 2023).
Mushtaq, Faisel, Kaki Ramesh, Sandip Deshmukh, Tathagata Ray, Chandu Parimi, Praveen Tandon, and Pramod Kumar Jha. "Nuts&bolts: YOLO-v5 and image processing based component identification system." Engineering Applications of Artificial Intelligence 118 (2023): 105665.
Ramesh, K., E. V. Ramana, L. Srikanth, C. Sri Harsha, and N. Kiran Kumar. "Identification of SMAW Surface Weld Defects Using Machine Learning." In Recent Advances in Materials Processing and Characterization: Select Proceedings of ICMPC 2021, pp. 339-350. Singapore: Springer Nature Singapore, 2022.
Sharma, Palash, K. Ramesh, R. Parameshwaran, and Sandip S. Deshmukh. "Thermal conductivity prediction of titania-water nanofluid: A case study using different machine learning algorithms." Case Studies in Thermal Engineering 30 (2022): 101658.
Patents
- “Machine Vision Based Assembly Line Components Identification System” - Published in India (Patent No. 202111054493).
- “Assembly Inspection Method and System” - Filed in India (Patent No. 202211031628).
Download CV here
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