KUMAR GAURAV

ETMARKET GPT: AI-Powered Conversational Financial Intelligence Platform

• Identified opportunity to transform static financial datasets into a conversational intelligence layer for retail investors.

• Defined product vision and user journey for ET Market GPT covering 10,000+ listed companies and indices.

• Conducted competitive research across 1,500+ external screeners to identify high-frequency financial attributes used by investors.

• Rationalized 4,000+ raw financial fields into ~1,000 high-impact attributes, reducing AI dataset exposure by ~70% to optimize token cost and response efficiency.

• Designed end-to-end Natural Language → Structured SQL workflow:
User Query → Query Enhancement Layer → SQL Generation → Data Fetch → Tabular Output → AI Interpretation

• Authored detailed PRDs and JIRA epics, created user stories with acceptance criteria, and collaborated with design (Figma) for conversational UX flows.

• Partnered with engineering to implement vector similarity-based schema mapping for financial field normalization.

• Defined AI evaluation framework using percentile scoring and reasoning analysis to benchmark GPT, Claude, and internal models.

• Introduced AI credit governance framework (daily/monthly limits) to align LLM usage with subscription monetization strategy.

AI SCREENER: AI-Enhanced Stock Screener (Manual → AI Mode Transformation)

Earlier State:
Manual screener requiring structured financial query input (e.g., Market Cap > 500 Cr).

My Innovation:

• Identified friction in manual screener experience for non-technical retail investors.

• Conceptualized and launched AI Mode for Screener:
Enabled users to type natural language queries instead of structured financial syntax.

• Designed backend workflow to:
Natural Language Input → Intent Detection → Financial Condition Mapping → SQL Query Generation → Screener Output

• Ensured users could:

• Save AI-generated screeners
• Name and manage personalized screener library
• Reuse saved strategies

• Defined product requirements, created JIRA user stories, aligned UX with design team, and delivered KT to engineering & QA teams.

• Enhanced product accessibility for non-finance-savvy users, increasing engagement potential across broader retail audience.

• Led mobile application testing initiatives for Android and iOS devices.
• Collaborated on automation test script development with Selenium WebDriver for websites.
• Scripted automation tests for APIs using REST-Assured & Postman to streamline processes.
• Conducted manual functionality assessments on web, m-web, PWA, and AMP applications.
• Utilized Android Studio for effective mobile app debugging and APK analysis.
• Employed simulators and real devices to achieve accurate mobile testing results.
• Performed API load testing with JMeter tools to evaluate system robustness.

• Conducted manual and API testing using Postman for enhanced application performance.
• Executed large data mapping exercises to ensure comprehensive test coverage.
• Validated functionality of web and WAP applications through systematic testing procedures.