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Nidhi Sharma
Junior Software Engineer specializing in backend systems, AI, and cloud infrastructure
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About
Built multiple AI-heavy systems with a strong engineering lens on observability, reliability, and real-world usability, including an LLM gateway for auditability/failure isolation and Allyvision, an accessibility tool for visually impaired users. Also owned an end-to-end warehouse shipment tracking dashboard at Addverb Technologies that drove measurable operational gains, combining backend/data depth with frontend product execution.
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Key Strengths
- Production-minded LLM systems engineering with strong observability focus
- End-to-end ownership across backend, database, and frontend
- Reliability engineering for AI services
- Strong monitoring and instrumentation practices
- Prompt and model-routing optimization for latency and quality
- Accessibility-focused product building
- Zero-to-one product scoping under ambiguity
- Real-time operational dashboard development
- SQL and database performance optimization
- Improved shipment visibility leading to 13% reduction in dead stock
- Delivered 22% cross-team operational efficiency improvement
- Reduced LLM latency by about 30% via model routing heuristic
- Cut false positives by replacing keyword guardrails with schema-based validation
- Reduced prompt overhead by ~600 tokens per call through prompt compression
Reference Highlights
- strong production thinking
- high ownership of reliability
- instrumented systems thoroughly
- strong monitoring mindset
- fast incident recovery improvements
- strong production ownership after launch
- proactive iteration without being asked
- strong full-stack engineer
- comfortable from database layer to UI
- rare end-to-end ownership
- measurable operational impact
- bridge between business stakeholders and engineering
- translates complex workflows into usable software
- works well with ambiguous requirements
- strong product intuition
- validates with real users
- strong in zero-to-one situations
- independent scoping
- deliberate tradeoff-making
- stays focused by defining success criteria early
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