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Venu Mandulapalli
Head of Solutions and Implementations @ Akoya | Building Transformative Solutions for Financial Data Access
Venu Mandulapalli is a technology professional currently serving as the Head of Solutions at Akoya.1 He is described as a well-rounded technologist who helps businesses solve problems by translating newer concepts into practical solutions.1
Professional Experience
Venu has a diverse background in the technology sector, with experience in various areas:
- Current Role: Head of Solutions at Akoya1
- Previous Positions:
- Director of Microservices and APIs at John Hancock Retirement Plan Services (Manulife)
- AVP at an unspecified company
Expertise and Interests
Venu's professional interests and expertise span several technological domains:
- Machine Learning and AI: He has been involved in recruiting for machine learning positions and has discussed topics related to NLP/NLU engineering.35
- Financial Technology: Venu is active in the financial technology space, participating in events like the Financial Data Exchange annual Global Summit.4
- Data-Driven Solutions: He has experience leveraging data-driven platforms to deliver business solutions.6
- Microservices and APIs: His previous role at John Hancock focused on these technologies.
Professional Activities
Venu is actively engaged in various professional activities:
- Public Speaking: He has participated in panel discussions and spoken at industry events.46
- Recruitment: Venu is involved in talent acquisition, particularly for specialized roles in machine learning and NLP/NLU.35
- Networking: He maintains a strong professional network with over 500 connections on LinkedIn.1
Personal
While primarily focused on his professional life, Venu has shared some personal information:
- He is married to Aruna Mandulapalli, who started a recruiting company called Hire Simplified.2
Venu Mandulapalli's LinkedIn profile (username: vmandulapalli) serves as a hub for his professional activities and insights into the technology industry, particularly in areas of machine learning, financial technology, and data-driven solutions.