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Toufiq Hasan
Entry-level Software Engineer specializing in backend and AI integration
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About
Built and shipped an LLM-powered crypto price tracking and alert agent in a web environment that scaled to roughly 10,000 users. The candidate emphasizes production reliability, structured outputs, and data normalization, and cites strong product impact including retention growth from 35% to 65% and roughly 95% positive user validation on alert interpretations.
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Key Strengths
- Shipped an LLM-powered crypto alert agent to production serving about 10,000 users
- Improved website retention from 35% to 65% after bot launch
- Built natural-language alert creation with about 95% user thumbs-up accuracy
- Strong focus on production reliability through fallback APIs, retries, rate limiting, and queues
- Designed evaluation loops using offline prompt datasets and online success/latency metrics
- Improved reliability by tightening output schemas and adding structured validation
- Handled messy external data with normalization layers and sanity checks across multiple APIs
- Implemented multi-channel alert delivery via email and Telegram
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