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Aditya Agrawal
Intern Software Engineer specializing in backend systems and data engineering
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About
Backend/AI engineer who has built and shipped two products: Know Founder (Python/SQL/AWS) scaling to 2,000+ users in the first month, and Unifr (unifr.online), an AI search visibility engine that queries multiple LLMs and turns responses into structured brand insights. Strong in production reliability/performance (Redis caching, indexing, precomputation) and in designing agentic workflows with guardrails, validation, retries, and human escalation.
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Key Strengths
- Built and scaled a production backend (Python/SQL/AWS) to 2,000+ users in first month
- Performance debugging and optimization (indexes, Redis caching, background precompute) reducing latency ~60%
- Designed relational data models with constraints and indexing; improved slow recommendation queries via composite indexes, denormalization, and summary tables
- Shipped applied AI product (LLM visibility engine) end-to-end: prompt orchestration, evaluation pipeline, backend APIs, parsing/scoring/summarization, analytics endpoints
- Designed reliable multi-step agent workflows with planner/executor separation, validation checkpoints, retries/backoff, fallbacks, and manual escalation
- Implemented AI production guardrails: prompt/tool/output logging, schema checks, confidence scoring, drift monitoring, and human-in-the-loop review
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