Available to hire
Hi, I’m Gauri Bhatnagar, an AI specialist passionate about building scalable and ethical AI solutions. Currently, I work at Beeld & Geluid in the Netherlands, where I develop RAG pipelines and work on responsible AI protocols for media archives.
With a strong foundation in software engineering and machine learning gained from my experience at Expedia and earlier internships, I love collaborating with cross-functional teams to align AI capabilities with real-world domain needs. I’m always eager to tackle complex problems involving data and AI, and enjoy designing solutions that are both innovative and responsible.
Skills
Experience Level
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Language
English
Fluent
Hindi
Advanced
Work Experience
AI Specialist at Beeld & Geluid
March 1, 2025 - PresentDeveloped production-scale RAG pipelines using Mistral, LangChain, ElasticSearch, and vector DBs for multimodal archival metadata retrieval. Designed and maintained prompt chains, vector stores, and evaluation frameworks to reduce hallucinations and support accurate RAG performance. Led customer research with researchers and media professionals to evaluate GenAI outputs and align LLM responses with domain needs. Built internal observability tools for tracing LLM inference logic supporting debugging, compliance, and iterative fine-tuning. Led efforts on defining guardrails and responsible AI protocols for ethical GenAI deployment across product, infrastructure, and UX layers.
Software Engineer at Expedia Group
August 31, 2023 - July 21, 2025Developed and optimized Apache Spark pipelines to track user behavior, reducing redundant content by 15% and improving personalization. Ran prompt-based experiments for chatbot natural language response evaluation. Led UX and integration updates for Activities including smarter sorting, personalized offers, and API migration, boosting click-through rates by 25% and reducing drop-offs by 22%. Optimized conversion funnels via data-driven A/B tests and resolved user dead-ends. Configured scalable backend services for hybrid checkout experience with cross-platform schema expansion while maintaining uninterrupted web functionality. A/B tests on native Android checkout led to 2.7% conversion rate increase.
ML Intern at Center of Development of Telematics
July 31, 2021 - July 21, 2025Collaborated with startups and academic teams to address applied ML problems such as fraud detection and personalized recommendation systems. Productionized ML models on structured data, achieving 5% reduction in false positives in a fake news detection system, improving reliability. Built a knowledge graph modeling over 10M network entity interactions using PySpark and GraphFrames for personalized fault monitoring and diagnostic recommendations in telecom infrastructure. Developed and maintained Python-based ML pipelines for data cleaning, statistical analysis, feature engineering, and deep learning with PyTorch and TensorFlow.
Education
MSc at KTH Royal Institute of Technology
January 1, 2023 - December 31, 2024BTech at Indraprastha Institute of Information Technology
January 1, 2017 - December 31, 2021Qualifications
Industry Experience
Software & Internet, Media & Entertainment, Travel & Hospitality, Telecommunications, Professional Services
Skills
Experience Level
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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