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محتوای ارائه شده توسط Association for Computing Machinery (ACM). تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Association for Computing Machinery (ACM) یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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Anusha Nerella - Episode 77

43:49
 
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Manage episode 518746284 series 2667187
محتوای ارائه شده توسط Association for Computing Machinery (ACM). تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Association for Computing Machinery (ACM) یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

In this episode of ACM ByteCast, Rashmi Mohan hosts Anusha Nerella, a Senior Principal Engineer at State Street. She has more than 13 years of experience working on building scalable systems using AI/ML in the domain of high-frequency trading systems and is passionate about driving adoption of automation in the FinTech industry. Anusha is a member of the ACM Practitioner Board, the Forbes Technology Council, and is an IEEE Senior Member and Chair of IEEE Women in Engineering Philadelphia chapter. She has served as a judge in hackathons and devotes significant time mentoring students and professionals on the use of AI technologies, building enterprise-grade software, and all things FinTech.
Anusha traces her journey from growing up with limited access to technology to teaching herself programming to working at global firms including Barclays and Citibank and leading enterprise-scale AI initiatives. Anusha and Rashmi discuss the challenges of applying AI to a field where money and personal data are at stake, and workflows that prioritize trust, security, and compliance. They touch on the importance of clear data lineage, model interpretability, and auditability. The discussion also covers observability, tooling, and the use of LLMs in finance. Along the way, Anusha shares her personal philosophy when it comes to building systems where speed and reliability can be competing priorities.

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77 قسمت

Artwork

Anusha Nerella - Episode 77

ACM ByteCast

102 subscribers

published

iconاشتراک گذاری
 
Manage episode 518746284 series 2667187
محتوای ارائه شده توسط Association for Computing Machinery (ACM). تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Association for Computing Machinery (ACM) یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

In this episode of ACM ByteCast, Rashmi Mohan hosts Anusha Nerella, a Senior Principal Engineer at State Street. She has more than 13 years of experience working on building scalable systems using AI/ML in the domain of high-frequency trading systems and is passionate about driving adoption of automation in the FinTech industry. Anusha is a member of the ACM Practitioner Board, the Forbes Technology Council, and is an IEEE Senior Member and Chair of IEEE Women in Engineering Philadelphia chapter. She has served as a judge in hackathons and devotes significant time mentoring students and professionals on the use of AI technologies, building enterprise-grade software, and all things FinTech.
Anusha traces her journey from growing up with limited access to technology to teaching herself programming to working at global firms including Barclays and Citibank and leading enterprise-scale AI initiatives. Anusha and Rashmi discuss the challenges of applying AI to a field where money and personal data are at stake, and workflows that prioritize trust, security, and compliance. They touch on the importance of clear data lineage, model interpretability, and auditability. The discussion also covers observability, tooling, and the use of LLMs in finance. Along the way, Anusha shares her personal philosophy when it comes to building systems where speed and reliability can be competing priorities.

  continue reading

77 قسمت

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