na
VS/TC012
Vinod Bhawnani
Founder & CEO at Mialo Technologies
20+ years, Software Architect, Enterprise and Mobile Solution Framework, Computer Vision, Artificial Intelligence based Applications, NLP, Edge Computing
Chief Enterprise Architect leveraged multiple roles comprising of Chief Architect, CTO, COO, Director, Advisor and Consultant.
Leveraging the experience of working with many ISV’s worldwide building enterprise class scalable solutions, Vinod is now in addition Developing products using IoT, Data Science and AI for the Smart Cities, Healthcare, Safety and Security, Government and Law Enforcement, Media, Retail and Banking.
Successful track record of having devised technical Architectures and Frameworks towards scalable, efficient and elegant Enterprise and Mobile solutions
A Master in raising “Custom build” Global Teams with a shared Agile Value system, ownership with similar Mind space, Equal Velocity & Quality at both ends
na
VS/TC012
Educational Qualification
| Technical / Management / Specialised degree |
Institution | Branch / Program | CGPA / Scores / Grades |
Year |
|---|---|---|---|---|
| BCA | Manipal University | Manipal University | Distinction |
Domain Expertise
Core Competency
- Software Architect Enterprise and Mobile
- Solution Framework
- Computer Vision
- Artificial Intelligence
- NLP
- Edge Computing
Complimentary Competency
Professional Certifications
- Microsoft Certified Solution Developer, Microsoft
- Certified Scrum Master, Scrum Alliance
Consultancy/Execution Area
Software Architect, Enterprise and Mobile Solution Framework, Computer Vision, Artificial Intelligence based Applications, NLP, Edge Computing
Professional Experience
Proficiency in Software/ product/ tools
| Domain | Experience (Total years / Details - last 5 years) |
Key Areas of Expertise | Contribution/ Role | Remarks |
|---|---|---|---|---|
Computer Vision and Artificial Intelligence |
Sensilance AI based Platform for Video Content Analysis including out of the box end to end solutions namely – Gatebot – AI Powered, Real time Edge Processing based end-to-end fully automated system backed by artificial intelligence to efficiently identify, monitor and authorise vehicles and humans entering or exiting gated premises. Retailbot - Brings the world’s most reliable in-store retail analytics with advanced AI & Computer Vision Technology applied on the wealth of information of your CCTV infrastructure Sensilance - Capture data from billions of cameras and sensors worldwide to develop reliable end to end real-time Intelligent Analytics solutions that transform pixel and sensor data into actionable insights |
Edge Computing, Artificial Intelligence, Computer Vision |
Chief Architect |
Educational Qualification
| Technical / Management / Specialised degree |
Institution | Branch / Program | CGPA / Scores / Grades |
Year |
|---|---|---|---|---|
| BCA | Manipal University | Manipal University | Distinction |
Core Competency
- Software Architect Enterprise and Mobile
- Solution Framework
- Computer Vision
- Artificial Intelligence
- NLP
- Edge Computing
Professional Certifications
- Microsoft Certified Solution Developer, Microsoft
- Certified Scrum Master, Scrum Alliance
Consultancy/Execution Area
Software Architect, Enterprise and Mobile Solution Framework, Computer Vision, Artificial Intelligence based Applications, NLP, Edge Computing
Professional Experience
| Domain | Experience (Total years / Details - last 5 years) |
Key Areas of Expertise | Contribution/ Role | Remarks |
|---|---|---|---|---|
Computer Vision and Artificial Intelligence |
Sensilance AI based Platform for Video Content Analysis including out of the box end to end solutions namely – Gatebot – AI Powered, Real time Edge Processing based end-to-end fully automated system backed by artificial intelligence to efficiently identify, monitor and authorise vehicles and humans entering or exiting gated premises. Retailbot - Brings the world’s most reliable in-store retail analytics with advanced AI & Computer Vision Technology applied on the wealth of information of your CCTV infrastructure Sensilance - Capture data from billions of cameras and sensors worldwide to develop reliable end to end real-time Intelligent Analytics solutions that transform pixel and sensor data into actionable insights |
Edge Computing, Artificial Intelligence, Computer Vision |
Chief Architect |
Proficiency in Software/ product/ tools
| Domain | Experience | Areas of Expertise | Contribution/ Role | Remarks |
|---|
