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During my tenure at Cisco, I participated in a project where I collaborated with a devops team and testing team to accomplish the resource allocation . At the end of the project, each intern received an evaluation from our direct supervisor. I was surprised to find that my performance rating was lower than I expected, given the contributions I felt I had made.

Task:I wanted to understand the basis for the rating and felt it was important to clarify any discrepancies between my self-assessment and the supervisor’s perception. My goal was to maintain a positive relationship while advocating for the work I had done.

Action:I requested a brief, one-on-one meeting with my supervisor. In that meeting, I calmly listened to their feedback to understand their perspective fully. Then, I shared specific examples of my contributions:

• How I had taken the lead on documenting the current resource allocation and new resource allocation based on my experience.

• My involvement in proper resource allocation resulted in 25% reduction of P1 issues due to resource allocation.

• The additional responsibilities I took on to get all resource approvals and helm script changes went unnoticed.

I also provided the documentation and metrics I’d been tracking to illustrate the impact of my work. By centering the conversation on factual evidence and outcomes, I was able to highlight aspects of my contribution that might have been overlooked initially.

Result:After reviewing these points, my supervisor acknowledged that some of my behind-the-scenes work wasn’t fully visible to them.  we agreed to have more frequent check-ins going forward. This experience taught me the value of proactive communication and documentation, ensuring that both my manager and I have a clear view of my responsibilities and achievements.

I was working on the large scale entrprise wide program that included multiple teams and stakeholders .During the initial phase of the program on discussion with Business stakeholders , Product Management team , PO , Tech SME to determine the scope of program , prioritization & aligning on the business objectives  and tech objectives there was multiple discussion and it was tough to get the agreement due to multiple people having conflicting agenda and need .  I received the feedback that there was lot of time being wasted and people are not aligning on the subject . This led me to reflect back and breakdown the work and structure of how we were approaching  the topics to be discussed & limiting to the required audience and building a steering committee that will be a small set of devision makers representing from business stakeholders , Product management , Technology team additional I also prepped the teams offline on the discussion topics and things they need to come prepared so that our meeting agenda is clear an we can effectively discuss and prioritize on the scope due to the initial prep work done offline . This helped me in always being open for feedback and being adaptive to the ongoing situation and doing initial ground work so that there is clear and effective communication transparency

I look after our email platform and our existing solution wasn't flexible enough to handle targeted messages at scale. We were missing an opportunity with users to send personalised messages at the right time to help increase engagement. I embarked on a project to implement a new marketing automation software. This project required alignment across our product, data, retail, security and legal teams. I spent time researching the availble tools in the marketing and workshopping requirements with relevant stakeholders, we created an RFP and sent to a number of suppliers. Each round of the RFP I assigned a score to the company and gathered feedback from stakeholders. This ensured the decision making process was fair and we had strong evidence when sharing the business case to senior leadership.

Once we decided on the supplier, I was responsible for implementing the tool which required support across various teams within the business. Implementing something cross-functionally

At my previous role, I was leading a fraud detection AI model deployment for a financial services client. The model aimed to reduce fraudulent transactions by 25% while maintaining a low false positive rate.

I was confident in the model’s performance in the test environment, but when we deployed it in production, we noticed an unexpected spike in false positives. Transactions flagged as fraudulent were legitimate, causing disruptions for customers and increasing manual review work. To resolve this, I:

1. Investigated the issue by comparing training and production data.

2. Identified data drift—the model was trained on historical data, but recent transaction patterns had changed.

3. Worked with data engineers to implement real-time data monitoring.

4. Retrained the model with up-to-date data and adjusted hyperparameters to improve generalization.

This fix reduced false positives by 25%, improved fraud detection accuracy, and ultimately saved $500M in operational savings across multiple initiatives. This experience taught me the importance of continuous model monitoring and proactively accounting for data drift. Now, I always incorporate data validation pipelines and feedback loops into AI deployments to prevent similar issues.

The last conference I attended was the Open Source Security Foundation. As I was leading the Dart & Flutter security program I wanted to learn about the innovations, tooling and services that other open source projects were using.

There were interesting conferences for tooling to sign artifacts with a single command and how the open source community was working in tooling to build, sign and release artifacts in a secure way for everyone using GitHub.

I learned that there were many technical innovations that I could use to speed up the Flutter Security Program, for example implementing secure build workflows using github actions. I also met several people working on similar projects and took the opportunity to share our lessons learned and challenges. Later on the connections with the open source security foundation proved very useful during technical reviews and collaborations.

I have been working on same project since last 3 years, I want to explore different projects and learn new skills and Technologies with current market trends

S（Situation）：在2024年9月底，我所在团队灰度上线了一个重要新功能。上线不久后，我们注意到产品的 NPS 分数出现了明显下滑。我的老板非常担心这个变化是由我们新功能引起的，因此建议我们暂停功能的进一步上线。

T（Task）：考虑到我们灰度期间已经收到不少正向的用户反馈和行为数据，我担心贸然暂停功能会影响节奏，并可能误判问题根源。我希望找出 NPS 下滑的真正原因，并用更稳妥的方式推进问题解决。

A（Action）：我首先分析了 NPS 下滑的时间节点，发现其发生在我们功能上线之前。结合用户评价存在滞后性的特点，我判断两者未必直接相关。随后我深入分析了近期的低分评价和客服 ticket，发现主要问题集中在打印出错、页面崩溃等历史遗留的功能性 bug。
我将这些发现整理成文档分享给老板，建议我们先优先修复这些问题，并继续观察 NPS 变化。同时，我也请他指出是否存在新功能相关的反馈痛点，以便一并跟进优化。我们快速完成了 hotfix，并验证后上线。

R（Result）：两周内，NPS 分数从 xx 回升到 xx（如能填具体更好），我们功能也顺利推进至全量发布，后续使用量增长了 xx%。老板也认可了我们以数据驱动决策的方式，对我在这件事中的判断力和推进力给予了肯定。