Senthil Velu

• Delivered Generative AI solutions enabling automated content generation, including chatbot responses, natural language data summaries, and personalized insights using LLMs and prompt engineering.
• Led a GenAI-driven initiative by developing natural language analyzers that converted user input into queries, displayed data in tabular format, summarized key insights, and generated charts for data visualization.
• Directed the development and implementation of a hard disk drive failure prediction model, significantly enhancing the part delivery and replacement process.
• Oversaw the design and rollout of a customer sentiment analysis solution to proactively identify and mitigate potential customer escalations.
• Explored Agentic AI capabilities to integrate into internal tool prototypes using LLM agents.
• Strong experience in utilizing data mining techniques to identify, analyze, and interpret trends or patterns in complex data sets.
• Managed technical leads and guided a 15-member team throughout the entire SDLC in US and India.
• Managed cross-regional product quality support with teams in the US, EMEA and Asia Pacific.
• Developed PRDs, specs, and user stories to guide engineering execution and stakeholder visibility across releases.
• Drove cross-functional collaboration across product, engineering and DevOps teams to deliver high-quality releases.
• Developed business strategies and goals based on customer feedback resulting in 12% YoY improvement in quality.
• Identified the top ten revenue producing customers with quality risks to enable account teams to drive data-backed conversations with their customers, leading to ~5M revenue protection in 12 months.
• Proactively identify risks before they impact customers and address issues before they become serious systemic quality issues that affect customer data.

• Led QA team, setting standards, and driving quality improvements.
• Collaborated with TPMs, engineering teams, and other stakeholders to develop and implement QA processes, manage quality risks, and ensure products or services meet defined standards and regulations.

• Managed the entire project lifecycle, from initial planning to final delivery, ensuring projects are completed on time, within budget and high-quality standards.
• Defined the project scope, goals, and objectives, creating detailed work plans, timelines, and resource allocation strategies.
• Led scalable data warehouse initiatives with a focus on data quality and security. Drove cross-functional collaboration and optimized ETL processes, reducing data retrieval time by 30% and boosting efficiency.
• Identified potential risks, developed mitigation plans, and tracked their implementation.
• Allocated resources effectively, manage team performance, and ensure team members have the necessary skills and support.