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Pranit Mhatre
Mid Software Engineer specializing in AI backend and FinTech systems
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About
Built an AI-driven trading mentor/analytics system combining a React frontend, Spring Boot backend, and FastAPI ML service for stock risk and indicator analysis. Stands out for a pragmatic approach to AI-assisted development: uses AI for acceleration, but manually reviews code line by line, validates outputs against real market behavior, and adds safeguards for unreliable financial data.
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Key Strengths
- Built AI-driven stock analytics features for beginner investors
- Owns backend and AI/ML workflow end-to-end
- Strong human review of AI-generated code and formulas
- Validates models against real market behavior across multiple stock symbols
- Improved risk logic by switching to percentage-based daily returns normalization
- Adds guardrails for missing, short, or abnormal historical data
- Pragmatic architecture decisions with Spring Boot orchestrator and FastAPI ML service
- Focus on business-logic, edge-case, security, and API behavior in AI-era code reviews
- Chooses simpler direct REST orchestration over heavier frameworks when appropriate
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