Riddhi Ketan Shah

AI/ML Engineer at Qlik

Led improvements to Qlik Answers (AI Assistant) by enhancing LLM response accuracy for 30K+ global users. Integrated LangSmith and Arize Phoenix into the agentic system to boost observability and reliability; developed hybrid RAG pipelines with LangChain and OpenSearch, including a reranker to improve domain-specific query relevance; architected multimodal input support in LLM Gateway and microservices with security scanning, reducing inference latency; automated LLM experiments with A/B testing across models (GPT-4, Claude, Mistral) improving model selection efficiency; created a test-generation agent with GitHub Copilot to automate Python/Go test writing, achieving 100% coverage.

Machine Learning Engineer at Synechron

Architected an end-to-end ML pipeline for fraud detection with automated feature engineering, processing 10K+ daily transactions; developed an ensemble fraud detection model (Isolation Forest, LOF, XGBoost) achieving 82% precision with 30% reduction in false positives; implemented MLflow-based monitoring for model accuracy and data drift across 15+ features; fine-tuned LLMs (LoRA/QLoRA) on proprietary data and built RAG pipelines with vector search to boost domain-specific query precision by 45%.

Software Development Engineer II Intern at Cisco

Built a Python integration layer connecting network simulation and routing systems, reducing test setup time by 30% and enabling automated validation of 500+ routing configurations; improved large-scale Lisp network simulation throughput by 40% through multithreaded Python, enabling parallel testing of 1000+ topologies.