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Tamanna Nandlal Choithani
Entry-level Full-Stack Engineer specializing in AI and distributed systems
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About
Full-stack engineer who built an AI-based inventory/procurement query system at Botlily/Botlerly using Flask and Google Sheets as a live knowledge base, overcoming Sheets latency with caching and structured in-memory models. Demonstrated strong LLM product engineering (40% accuracy improvement via preprocessing/prompting) and customer-driven iteration with bar/restaurant owners, evolving the tool into a more comprehensive inventory management and forecasting solution.
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Key Strengths
- Built scalable AI inventory query system with caching, structured in-memory models, and microservices separation
- Performance optimization for LLM systems (reduced AI hops, preprocessed embeddings, structured JSON responses)
- Improved LLM response accuracy by 40% via query preprocessing and stricter prompt structure
- Designed real-time voice + LLM streaming architecture using WebSockets with ASR/LLM/TTS services
- Strong product discovery with non-technical customers; translated pain points into workflow and iterative prototypes
- Ability to anticipate and mitigate low-latency/high-reliability trade-offs (TTL, background jobs, targeted retries, graceful fallbacks)
- Shifted product direction from inventory lookup to procurement forecasting based on user feedback
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Experience
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Publications
2 publications
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