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Swapnil Sanjay Pawar
Junior Full-Stack Software Engineer specializing in GenAI and web platforms
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About
AI/software engineer with hands-on experience deploying an LLM-powered quiz generation platform for students, integrating Python services with Gemini APIs plus frontend and database components. Emphasizes production-grade reliability through observability, schema validation, async processing, and performance tuning under high concurrency, and has collaborated with product/operators (e.g., at Colombo AI) to translate real-world constraints into scalable technical solutions.
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Key Strengths
- Production deployment of multi-component AI/LLM systems (backend, API integration, frontend, database)
- Designing for reliability with external LLM dependencies (latency mitigation, async workflows, user feedback loops)
- Strong observability/debugging practices (request IDs, stage-level logging, prompt/version tracking, validation outcomes)
- Improving output quality via strict schema validation and sanity checks for educational content
- Systematic root-cause isolation across software/network/resource layers using logging + monitoring
- Scaling under concurrency (queueing, throttling, retries/backoff, resizing based on metrics and load tests)
- Requirements translation with non-technical stakeholders into testable specs and iterative prototypes
- Customer/operator collaboration to convert operational constraints (cost/latency/reliability) into engineering decisions (batching/caching/fallbacks)
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