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kartika makkar | AI LLM Engineer

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San Francisco, CAOn-siteFull-time

About this role

Kartika Makkar AI Engineer| Researcher| Ph.D. in Computer Science | Machine Learning, Deep Learning, NLP, GenAI Sunnyvale, California, United States (US) 447 connections • 449 followers About I am a Ph.D. graduate in Computer Science specializing in Machine Learning, Deep Learning, NLP, Generative AI, and AI Agents with over five years of experience in AI research and teaching. I have authored multiple conference and journal papers, with contributions spanning sentiment analysis using advanced ML techniques and sarcasm interpretation with attention-based transformer models. My expertise covers both supervised and unsupervised learning, transformer architectures, knowledge graphs, LLMs, text classification, text generation, sarcasm interpretation, and embeddings. I’m passionate about applying these methods to build more trustworthy AI systems. I have hands-on proficiency with PyTorch, TensorFlow, Scikit-learn, and enjoy designing robust pipelines that bridge cutting-edge AI research with real-world applications. Currently, I’m focused on knowledge generation and building AI agents that push the boundaries of what’s possible in NLP and GenAI. I’m always open to collaborative research, innovative projects, and knowledge sharing to create impactful, human-centric AI solutions. Total Experience: 6 years and 9 months Experience AI LLM Engineer - UnitedHealth Group(https://www.linkedin.com/company/unitedhealth-group) (Current) May 2025 - Present (1 year and 3 months) in United States - Devised RAG pipelines integrating FAISS vector search with clinical metadata using LangChain, which helped to reduce clinical query resolution time and improve information retrieval accuracy - Built NLP-based classification and entity extraction pipelines using HuggingFace Transformers and SpaCy, automating claims triage workflows and reducing processing time by 35%. - Integrated prompt engineering and instruction-tuned LLMs with interpretable output formatting, incre

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