Khalid Mehtab Khan

Co-Founder

San Francisco, California, United States3 yrs 7 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in AI and machine learning with a focus on NLP.
Led the development of multimodal LLM agents.
Improved Macro-F1 score by 2.1 percentage points.

Stackforce AI infers this person is a data science and AI expert with a strong focus on educational and healthcare applications.

Contact

mehtabkhalid2501@gmail.com LinkedIn

Skills

Core Skills

Artificial Intelligence (ai)Software DevelopmentMachine LearningData ScienceNatural Language Processing (nlp)Applied Machine LearningResearch SkillsLeadershipData Analysis

Other Skills

AlgorithmsAmazon Web Services (AWS)Analytical SkillsAndroidAtlasAutomationBERT (Language Model)C++CaddyCascading Style Sheets (CSS)ClassificationCompetitive ProgrammingComputer ScienceContent CurationContext Sensitive Solutions

About

I am good with math and language, with a strong foundation in data science and machine learning. I work with core ML systems like probabilistic models and optimization methods. I specialize in natural language processing and AI, focusing on conversational agents, agentic workflows, and fine-tuning large models for real-world, scalable applications.

Experience

3 yrs 7 mos

Total Experience

1 yr 8 mos

Average Tenure

10 mos

Current Experience

Xuman.ai

Founding Engineer - AI

Aug 2025 – Present · 10 mos · San Francisco, California, United States · On-site

Leading the 0-to-1 product journey, managing full-stack, AI/ML, and MLOps workflows from concept to production.
Building multimodal voice and text LLM agents (LangGraph, LiveKit) within a scalable AI infrastructure that learns from interactions to generate adaptive, personalized personas.
Working with neuroscientists to build a dynamic recommender system that models human behavior for personalized service matching as part of the Human Experience Engine.

Artificial Intelligence (AI)Transfer LearningFine TuningGenerative AISoftware Development

San francisco state university | college of professional & global education

Teaching Assistant, Data Science for Biotechnology Professionals

Aug 2025 – Present · 10 mos · San Francisco, California, United States · On-site

Teaching researchers and scientists from Genentech in applying advanced data science and machine learning techniques to solve complex biotechnology challenges.
Collaborate with program directors to develop curriculum and provide expert guidance during technical office hours on topics such as deep learning and statistical analysis.

Machine LearningData ScienceStatistical Data AnalysisNatural Language Processing (NLP)Scikit-Learn

San francisco state university

2 roles

NLP Researcher

Promoted

Aug 2024 – Present · 1 yr 10 mos · San Francisco, California, United States · On-site

Developing the AWARE framework, a novel deep learning model designed to understand nuanced meaning in student narratives. This research moves beyond traditional sentence-level analysis to capture complex, overlapping themes, culminating in the paper, "AWARE, Beyond Sentence Boundaries."
Achieved a 2.1 percentage point Macro-F1 improvement over a tuned baseline and cut manual annotation workload by 75% by employing a multi-label Focal Loss strategy to manage theme co-occurrence and extreme class imbalance.

Word EmbeddingsPrompt EngineeringApplied Machine LearningNatural Language Processing (NLP)Large Language Models (LLM)Data Pipelines+4

Instructional Student Assistant

Jul 2024 – Aug 2025 · 1 yr 1 mo · San Francisco, California, United States · On-site

Mentored 50+ graduate students in advanced Natural Language Processing concepts, including Transformer architectures, attention mechanisms, and language modeling for CSC 620/820.
Evaluated and provided in-depth technical feedback on student projects and coding assignments, covering topics from text preprocessing and feature engineering to fine-tuning pre-trained models.
Collaborated with the course instructor to develop and refine programming assignments, ensuring alignment with learning objectives and industry-standard practices.
Created supplementary learning materials, including code notebooks and tutorials, to clarify complex topics such as vector embeddings (Word2Vec, BERT) and model evaluation metrics.

Prompt EngineeringAnalytical SkillsResearch SkillsData Science

Reslife, san francisco state university

Student Leader

Aug 2024 – Jul 2025 · 11 mos · San Francisco, California, United States · On-site

Fostered a positive and inclusive living environment for a diverse community of over 50 residents, organizing 10+ social and educational events per semester to promote engagement and student success.
Mediated interpersonal conflicts between residents, employing active listening and problem-solving techniques to facilitate fair and respectful resolutions.
Acted as a student leader within the Residential Life team, collaborating with 28 other RAs and professional staff to develop and implement community-wide initiatives.

Leadership

Innovaccer

Healthcare Data Associate

Jan 2021 – Sep 2022 · 1 yr 8 mos · Noida, Uttar Pradesh, India · On-site

Enhanced business intelligence for healthcare clients by leading a data governance team. My work focused on optimizing data processing and transforming complex datasets into actionable insights for trend analysis and client engagement.
Led a data governance team of 3, building robust SQL and Python ETL pipelines that accelerated BI capabilities by 40%.
Architected workflows to consolidate payer-provider datasets, cutting data latency by 30% and enabling trend identification in Tableau.
Developed responsive HTML outreach templates from data insights, a strategy that increased sales-qualified leads (SQLs) by 15%.

Data AnalysisAnalytical SkillsJavaScriptTableauData SciencePython