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Geetika Jain
Mid-Level Software Engineer specializing in Azure AI and full-stack development
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About
Hands-on AI/LLM engineer who built a RAG-based product feature end-to-end, including prompt engineering, safety guardrails, and an automated adversarial + load-testing harness. Diagnosed real production issues (null responses) via Azure logs/metrics and drove an architectural fix by separating model deployments to address token/quota limits. Also runs internal developer enablement through short theory-to-hands-on AI workshops after completing a Microsoft AI certification.
Experience
Education
Key Strengths
- Built and productionized a RAG solution from scratch (prototype to production)
- Strong prompt engineering to achieve consistent structured LLM outputs
- Implemented content safety/guardrails to prevent irrelevant or unsafe LLM responses
- Created automated test harness with curated prompt suites (irrelevant, jailbreak/secret-spill, harmful) plus load testing
- Real-time incident diagnosis using logs and Azure metrics/alerts
- Resolved post-release null LLM responses by identifying token/quota constraints and redesigning deployments
- Effective technical communication via recurring demos and internal AI workshop series
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