Karan Singh Mann, CFA

AI & Innovation: • Led a team of 6 engineers while being hands-on in setting up a production grade RAG pipeline using AWS OpenSearch VectorDatabase for semantic search used by all Portfolio Managers as Market Research Assistant. • Championed GenAI adoption across the Data function, leading POCs using LangFlow/LangChain for use cases such as test case generation, business analysis, and change management, cutting manual effort by up to 40%. • Proposed and designed an Agentic AI control plane, enabling the enterprise to standardise build, deployment, monitoring, and governance of AI agents, reducing risk and improving reusability. Enterprise Data Models (EDM): Led a team of Enterprise Data Modellers in designing Master Data Management (MDM), Investment Book of Record (IBOR), and Total Portfolio Analytics Warehouse (TPAW) platforms, improving enterprise-wide data consistency by ~30%. Spearheaded a cross-department Hub-and-Spoke operating model to drive alignment and adoption. Enterprise Data Catalogue (EDC): Served as Lead Architect, designing the metadata capture strategy and system architecture for the Enterprise Data Catalogue , enhancing data discoverability and governance by 40% across departments. Enterprise Data Warehouse (EDW): Directed the delivery and solution architecture of the TPAW platform on Snowflake, reducing reporting latency by 60% and providing scalable analytics to support billions of records. Data Architecture: • Published a governance-first data distribution pattern, reducing duplicate pipelines by 25% and ensuring secure and compliant enterprise data sharing. • Conducted enterprise-wide data landscape reviews, optimising data placement, categorisation, and system alignment to support a multi-year $100M+ transformation program. Data Engineering: Streamlined the migration of EDW from Oracle DB to Snowflake by creating DBT macros for ETL transformations, cutting development time by 30% and improving pipeline efficiency and maintainability.

• Technical Lead for the FICC Risk Platform Singapore team developing, maintaining, and supporting a highly resilient low-latency Core Java Trading Risk System relied upon by more than 50 Goldman Sachs Trading Desks for evaluating Positional and Activity Risk to make intraday trading decisions • Onboarded 10 Macro Desks in Asia on the Risk platform, acted as SPOC for requirement gathering, addressing escalations and providing them with standard and customized First Order and Second Order Risks along with PnL Attribution for both intraday and EoD • Implemented Service Quality Measures by working with Traders and defining SLOs for key risks to monitor Market Staleness and Trade Latency using Prometheus for health data collection, Grafana for visualization and PagerDuty for alerting breaches. This was a key metric utilized in monthly incident reporting to management. • Implemented a Ticking Predict feature across Asia Macro desks which provided a reliable estimate of risk every minute prior to a full market refresh and complete risk calculation which took 10-15 minutes • Supported the platform during Trading hours by debugging and fixing the Slang model config while working in conjunction with Pricing Strategists and Traders of each Desk who utilize the Risk Platform

• As part of the NPL Models Front Office Engineering team enhanced and supported the technology infrastructure for the non- performing loan cash flow projection model utilized by the Principal Investing Desk, Special Situations Group • Caught valuation anomalies worth millions by creating a Regression Testing Framework in Slang for monitoring model code sanctity, which regularly ran the Cash-flow Engine for hundreds of historic inputs and compared the projections generated versus the historic model runs • Developed RESTful Web Services in Java exposing MongoDB utilized within Slang to persist, retrieve, update and delete NPL Asset and NPL Portfolio Model data • Built maintenance & database snapshot jobs for MongoDB in Java and deployed as Kubernetes CronJobs • Supported the Asset Managers by debugging and fixing the Slang model code for both the NPL Asset and Portfolio Model during Production issues

• As part of the Data Engineering team designed the Logical and Relational Data Model by working with the Asset Managers to identify key data points and their relationships for the re-engineering initiative wherein GS invested in revamping the Tech infrastructure for Real Estate investments and integrated a 3rd Party Property Management tool - Yardi • Implemented a Data pipeline in Java from the team’s MongoDB database to the firm’s central Data Lake for downstream consumers and reporting • Supported Production parallel for the legacy RDBMS infrastructure of Oracle DB, Sybase IQ as well as the data ingestion pipeline built using Informatica and Alteryx ETL processes

• As part of the Business Analysis and Reporting team coordinated the data management, business process improvements, data ingestion frameworks for Real Estate investments and created Tableau/SSRS dashboards for desk reporting • Business Reporting – 1. Tableau Dashboard for KPIs such as IRR, MOIC, FV, Levered Profits, etc. a. Standardized Real Estate Performance Reporting for US and EMEA 2. SSRS generated SubOps and Investor Summary for Credit Funds a. Saved ~30 man-hours per cycle per report by automating reporting for BSRECP II and BSRECP III funds 3. Real Estate P&L Tableau Reporting a. Standardized the Investment P&L reporting for US and EMEA • Business Analysis – 1. Project Management: a. Collaborated cross-division with Strategists, Controllers and Technologists to identify key data points and feeds for the Real Estate Tradable and helped troubleshoot issues b. Proposed Infrastructure and Control Enhancements for Product Setup c. Drove design discussions on Interface, Data Models and Trade flow for the Real Asset Assets d. Acted as RMD liaison to SSG Strategists during a business trip to Dallas to streamline the development of the RE Tradable and integration with 3rd Party Property Management tool – Yardi e. Created Tableau dashboard for validating RE Tradable fields sourced from SecDB f. Wrote Data validation rules in SQL for an auto-validation mechanism to optimize data quality

a. Selected for a 2 month Short Term Assignment to Dallas(USA) as Real Estate Asset Management Division liaison to Special Situations Group Strategist in order to streamline the development of the Real Estate Tradable b. Performed Business Process Analysis using process flow representations for the Tradable lifecycle and provided key input to Strategist, Technologist and RMD CEO Working Groups c. Helped Train and migrate Real Estate Product Setup to a centralized team d. Created Tableau dashboard for validating RE Tradable fields sourced from SecDB e. Wrote Data validation rules in SQL for an auto-validation mechanism to optimize data quality

As part of the Regulatory Change Management PMO team devised test plans, booked trades in UAT and validated whether GS’s Regulatory reporting was in line with the Business requirements whenever a change was introduced Work Experience. Automated booking of trades and verification of the Fpml being sent to the regulators thereby reducing the release cycle from 20 to 7 days. Led a team of 7 Accenture Consultants for the Interest Rates Asset Class, responsible for requirement gathering and devising execution plan.

Hostel Representative is the representative of his hostel consisting of 170+ students. The main job of a Hostel Rep. is to act as a bridge to narrow the gap between the administration and the students. A Hostel Rep. plays a major role during the inter-hostel cultural festival "Zephyr" and inter-hostel sports festival "Slam" in managing and in the selection of students representing the hostel in various events. Accomplishments during my tenure: 1. Won the inter-hostel cultural festival wherein 14 hostels competed. 2. Stood 2nd in the inter-hostel sports festival wherein 14 hostels competed.

Assisted Dr. Swagat Mishra at BITS Pilani in conducting the course – Principles of Economics under the purview of Dr. Mridula Goel, the Head Of Department of the Economics Department Responsibilities included making presentations, structuring the course curriculum with the faculty and conducting lectures