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Mr. Sasikiran KAye
Assistant Professor
Qualification:
B.Tech(ME),. M.Tech(ME), PGDM(Data Science)
Professional Exp.:
11 Years
Registration Number:
3795-161228-102717
About
Mr. Sasikiran Kaye is a dedicated academic professional with 11 years of teaching experience in Mechanical Engineering and Data Science. Over the course of his career, he has specialized in core production engineering subjects such as Machine Tools, Production Technology, Metrology, and Unconventional Machining Processes, while also making significant contributions in emerging areas like Machine Learning, Deep Learning, and Artificial Intelligence.
In addition to his expertise in traditional engineering disciplines, Mr. Sasikiran has developed strong capabilities in data visualization and analytics, with proficiency in tools such as Tableau, Power BI, Matplotlib, and Seaborn. He has successfully guided numerous undergraduate projects in machine learning, helping students bridge the gap between theoretical knowledge and practical implementation.
Beyond academia, he has worked as a Prompt Engineer Consultant with SoulAI, where he applied his knowledge of AI and natural language processing to deliver innovative solutions. His unique combination of manufacturing engineering expertise and data-driven insights positions him as a versatile professional capable of addressing both industrial and research challenges.
Mr. Sasikiran’s academic journey demonstrates his commitment to continuous learning, interdisciplinary teaching, and mentoring, making him a valuable contributor to both the classroom and applied research environments.
Educational Details
- M.Tech (ME), National Institute of Technology Warangal – March 2014
- PGDM (Data Science) – Great Lakes Institute of Management – Dec 2020
- B.Tech (ME), Gayatri Vidya Parishad College of Engineering, Visakhapatnam – 2010
- SSC – SNR School, Srikakulam – 2004
Professional Background
- Assistant Professor, ACE Engineering College, Ankushapur – March 2016 to Till Date
- Assistant Professor, Aditya Institute of Technology and Management, Tekkali – September 2014 to September 20216
Subjects Taught:
- Machine Learning
- Fundamentals of Artificial Intelligence
- Production Technology
- Metrology and Machine Tools
- Unconventional Machining Processes
- Material Science
- Predictive Analytics
- Introduction to Data Science
- Python Programming
- Deep Learning
- Engineering Mechanics
Core Research Domains:
- Smart Manufacturing
- AI for Manufacturing
- Artificial Intelligence and Machine Learning
Journals and Conferences:
- Kola Sai Kumar, N Shreya Kulkarni, K Laya, K Sasikiran, (2022). “Mediflex Diagnostics Detection of Covid, Pneumonia using CNN, vol 6. IJETMS. https://ijetms.in/Vol-6-issue-3/Vol-6-Issue-3-8.pdf
- N Manisha, M Riya Raj, S Manimala, K Sasikiran,(2022). “Credit Risk Assesment of Home Credit Group.”,vol10. IJCRT. https://ijcrt.org/papers/IJCRT2204415.pdf
- N Sai Teja, B Vikram, C Varun Teja, K Sasikiran (2022). “Prediction of Electronic Vehicles charging behavior using Machine Learning, vol 12. https://rjpn.org/ijcspub/papers/IJCSP22B1247.pdf
Certified Courses:
- Data Science and Engineering at Great Learning
- Artificial Intelligence Virtual Experience Program at Cognizant Aug 2022 Credential ID NCcKnP6nFHhNrhGej
- Supply Chain Analytics Foundations by Linkedin Learning July 28 2022
- AWS Sage Maker Foundations Issued June 2020
- AWS Development Tools Service Overview
- Creation of IBM Watson Chatbot – Udemy – 2020
- Introduction to AWS IOT at AWS – 2020
- Cutshort Certified Machine Learning
- PRO-e MSME Toolroom
- Data Science Assosciate at Cutshort
- Mysql and SQL learning at TestDome
FDPs & Workshops Attended:
More than 10+ FDPs and workshops, including:
- FDP on AI & ML Applications for Next-Generation Engineers
- KTU Sponsored FDP on “AI & MI in Manufacturing”
- Online FDP on AI and Mechanical Engineering Applications
- FDP on AI and Data Analytics for Smart Manufacturing and Industrial Automation