ANMOL ASHRI

• Developed RIXA XAI Dashboard (TypeScript/ReactJS + Python/Flask) with dual-pane
  interface for AI-vs-chat comparison, integrating LIME/SHAP/PDP/Counterfactuals plugins
  via interactive React components.
• Designed SQL-based notification system and trained neural networks on structured
  datasets (e.g., Hotel Demand), achieving 94% accuracy and 30% reduction in redundant
  alerts.
• Developed RAG pipeline using transformer-based document retrieval (FAISS,
  HuggingFace) and generative models, reducing hallucinations by 20% via citation-backed
  responses (90% retrieval accuracy).
  
   

Machine Learning Engineer & Full-Stack Developer with expertise in end-to-end data
science pipelines, ML model deployment, and cloud-based solutions. Proven experience in
building scalable data systems, optimizing transformer models, and delivering explainable AI
tools. Strong background in agile development and cross-functional collaboration in
international environments.

Masters in Computer Science