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Isha Harne
Intern Software Engineer specializing in ML applications and LLM platform engineering
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About
Full-stack engineer who builds and scales customer-facing and internal AI products end-to-end (React/TypeScript/FastAPI/MongoDB) with strong product instrumentation and rapid MVP iteration. Built an AI-powered code review assistant adopted across teams and integrated into CI/CD, reducing manual review time by 30%+, and has hands-on experience with LLM retrieval/reasoning systems (LangChain + FAISS) and microservices scaling using RabbitMQ, Docker, and AWS.
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Key Strengths
- End-to-end ownership of customer-facing features (React UI through FastAPI backend and MongoDB)
- Rapid MVP iteration using feature flags and behavior-driven product improvements
- User-feedback instrumentation (analytics, session replays, in-product prompts) to drive measurable UX gains
- Performance and reliability optimization (caching, modular services) while scaling usage
- Designing scalable microservices with robust async processing (RabbitMQ ack/retry, backpressure monitoring, horizontal worker scaling)
- Applied LLM retrieval/reasoning architecture with LangChain; reduced latency via batching and FAISS optimization
- Built and drove adoption of an internal AI code review assistant integrated into CI/CD, cutting manual review time by 30%+
- Strong stakeholder alignment and prioritization in ambiguous environments (impact/feasibility/dependencies)
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