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Dhruvil Chodvadiya
Mid-level Full-Stack Developer specializing in FinTech, Healthcare IT, and Generative AI
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About
Full-stack + ML engineer who built “Finsight,” a real-time financial risk platform (React/FastAPI/MongoDB/AWS Lambda) processing 2M+ records monthly, using sharding and Redis caching (60% DB load reduction) plus async and batch optimizations. Also has healthcare product experience at Apollo Healthcare, partnering directly with clinicians/admins to design and iterate EHR dashboards via Figma prototyping and user testing, and demonstrates clear system design thinking for real-time voice-to-LLM architectures.
Experience
Education
Key Strengths
- Built real-time financial risk platform processing 2M+ records/month
- Scalability engineering: MongoDB sharding + AWS Lambda autoscaling
- Reduced database load ~60% via Redis caching
- Performance optimization with FastAPI async I/O and vectorized Pandas batch processing
- Multi-level caching including semantic similarity to avoid redundant OpenAI API calls
- Low-latency system design for real-time voice + LLM streaming (WebSockets, gRPC/HTTP2)
- Strong product collaboration with clinicians/admins; iterated EHR dashboard via weekly feedback
- Translates vague stakeholder needs into specs using Figma prototypes and hands-on user testing
- Pragmatic reliability/latency trade-offs (eventual consistency with Redis TTL to cut response time 800ms -> 200ms)
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