Deep Chenna

• As a member of the APAC Web3 Specialist team at Google Cloud, I'm dedicated to accelerating Google Cloud adoption in Web3 Industry across the region. 
• Supported Web3 Sales and Account teams in capturing key accounts, creating technical sales narratives for sub-verticals, designing scalable sales motions, and developing reference architectures and demos to align Web3 solutions with cloud services.
• Contributed to successful closure of key strategic accounts by maintaining long-term strategic relationships with customers and collaborating with cross-functional teams to meet customer requirements efficiently.
• Spearheaded key partnership initiatives for Web3 clients in APAC, including co-publishing technical blogs, Authored/Co-Authered multiple web3 focused technical blogs and a white-paper as part of this initiative. Also leading the validator partnerships to enhance web3 customer engagement and trust.

• Drove innovation at KoineArth, a startup pioneering the use of blockchain, machine learning, and mechanism design to build economic networks. During 5+ years there, spearheaded the tokenization of diverse assets, including coalition loyalty points, business documents (invoices, purchase orders), and various real-world assets.
• Directed strategic product initiatives, overseeing product vision, innovation, design, development, and management for KoineArth as part of the founding team.
• Supervised a multidisciplinary team of 15 members including product designers, solution architects, release managers, and QA professionals to deliver innovative blockchain-based solutions.
• Designed the architecture and implemented core components for platforms such as marketsn.com (Blockchain & AI-based platform optimizing supply chain collaboration) and ngagen.com (NFT-Powered Marketing platform for Brands build on Polygon).

• Developed and optimized the Automated Disposition System, a mission-critical application in the manufacturing workflow, enhancing decision-making processes for unit disposition through efficient data models and ETL systems. Technologies used: Oracle PL/SQL, Python.
• Designed and implemented the Customer Traceability Reporting Algorithm, enabling detailed genealogy of units by linking storage locations to shipment data, improving traceability accuracy from approximately 84% to 98%.

Achieved cumulative GPA of 8.2, demonstrating strong academic performance.

Graduated with distinction, reflecting a commitment to academic excellence