Experience

8+ years building and scaling AI/ML systems across healthcare, adtech, and SaaS — from hands-on engineering to technical leadership.

Technical Account Manager & Operations Specialist → GTM Ops Technical Lead
Comet·Mar 2025 – Present
  • Designed a Notion CRM (star-schema) centralizing all customer data for the Solution Engineering team; integrated with Jira, GitHub, Google Workspace, and Slack
  • Built AI agents (Gemini, Dify, Notion AI) and N8N automation pipelines — delivering 10–30× productivity gains and cutting post-meeting processing time by 75%
  • Now leading GTM Ops: planning and building internal AI & automation tooling, mapping workflows, and driving adoption across GTM teams
NotionJiraN8NDifyGeminiAI Agents+2
Co-Founder & AI Advisor
Niche Mates·Jan 2022 – Present
  • Built a vertical SaaS studio focused on sustainable long-term partnerships; products include Swiftbrief, Maid of Speeches, Tube Transcripts, and Eulogy Generator
  • Led AI & automation discovery workshops that translated into follow-up projects and ongoing business partnerships
  • Now serves as advisor for strategic and AI topics, including AI solutions for the real estate sector
SaaSAILLMsProduct StrategyAutomation
Prompt Engineer & PM
Swiftbrief·Mar 2023 – Dec 2024
  • Acquired Swiftbrief via Niche Mates; led prompt engineering to improve LLM output performance and consistency
  • Integrated extensive SEO data into prompt flows and LLM components into the React web app
  • Conducted market analysis, domain research, and user research
LLMsPrompt EngineeringReactSEOProduct Management
Lead MLOps Engineer & Project Lead
knecon·Sep 2022 – Sep 2024
  • Architected continuous training pipeline using Azure, GitLab CI, and Terraform — cut time-to-market 50–60% while ensuring GDPR compliance
  • Migrated model serving to MLflow + KServe; accelerated deployments 5× via CI standardization
  • Built LLM + RAG system for a virtual assistant on sensitive company data; led cross-functional teams via OKRs
AzureKubernetesMLflowKServeTerraformLLMs+2
Consultant – ML Engineering & Operations
CBTW·Jun 2021 – Aug 2022
  • Operationalized ML PoCs for production across 3 major healthcare client projects on Azure + Kubernetes
  • Designed ML backend web services and data models for medical data integration
  • Managed stakeholders and presented project milestones to C-Suite executives
AzureKubernetesDatabricksMLOpsHealthcare
Data Scientist → ML Engineer
Exactag·Jun 2018 – May 2021
  • Built a recommendation engine to optimize ad spend and reduce budget misallocation
  • Maintained ETL pipelines for continuous model training using Apache Airflow and Hadoop
  • Developed Jupyter Notebook UI plugins, speeding up custom model development 2–3×; mentored junior data scientists
PythonAirflowHadoopMLETLJupyter