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Moonshine St. 14/05
Light City, London

[email protected]
00 (123) 456 78 90

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AI & SaaS Product Manager & Leader 

Tech Program / Project Management

ML Systems Architect 

Creator of IMPACT Product & Project Exeuction Frameworks (Link)

SUMMARY​

I’ve delivered over $43.5 Million in value/ product impact across SaaS and AI portfolios by launching scalable, cloud-native ML platforms and delivering transformative AI systems for companies like LinkedIn, Intercom, Sumo Logic, 8×8, and other industry leaders.
My work spans cloud ML platforms (Vertex AI, AWS SageMaker, Azure ML), LLM systems, MLOps pipelines, and enterprise AI deployment—always driven by a blend of strategy, precision engineering, and framework-driven execution.
From startup velocity to global scale, I specialize in building what matters—and what lasts. My proprietary frameworks—AI.IMPACT, PRODUCT.IMPACT, VERTEX.IMPACT, and PROMPT.IMPACT—are designed to turn vision into velocity, aligning teams, tech, and outcomes.
I lead with empathy, translate complexity, and guide teams toward outcomes that matter. Product success, to me, is the orchestration of vision, architecture, and user resonance.

KEY PRODUCT ACCOMPLISHMENTS

Intercom: Delivered AI-powered analytics features that increased revenue by 20% and improved marketing ops efficiency by 60%.
LinkedIn: Led rollout of AI-enriched sales tools, boosting conversion rates by 25% and generating measurable revenue lifts.
Sumo Logic: Built ML models optimizing conversion and churn—contributing to the company’s IPO trajectory.
Evertise: Architected and launched an LLM-based PR automation platform, cutting content production time by 60%.
8×8: Launched real-time executive dashboards and churn-detection ML systems, lifting revenue by 10%+.

PRODUCT/TECHNOLOGY FRAMEWORKS

IMPACT Technology Execution Meta-Framework v1.0 A Next-Generation Meta-Framework for Delivering High-Quality Technology Products and Projects in the New Era of AI. The below frameworks are part of this Meta-Framework
IMPACT Tech Product Management Framework identifies key drop-offs in user satisfaction and validates the product need
IMPACT AI Product Management Framework defines and prioritizes an intelligent resolution engine powered by LLMs
IMPACT Prompt Engineering Framework designs prompt variants for automated responses, fallback logic, and tone control.
IMPACT Vertex AI MLOps Framework builds, trains, and deploys the model with feedback loops and observability.
IMPACT Vertex AI MLOps Framework builds, trains, and deploys the model with feedback loops and observability.
IMPACT Technical Project Management Framework ensures timeline, resource, and milestone alignment across all teams.
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THOUGHT LEADERSHIP & INVENTORSHIP

  • Four Software/ML patents (one issued, three pending) and multiple industry awards spanning AI, automation, and analytics—reinforcing a top-tier reputation for practical innovation and forward-leaning execution.
  • Inventor of proprietary AI & Software  product frameworks used for aligning enterprise-scale AI/Software  development with business outcomes.
  • Author and deep researcher on the evolution of AI systems, LLM prompt architectures, and SaaS-based product strategies.
  • Constantly experimenting with LLM tuning, retrieval-augmented generation (RAG), AI architecture design, and SaaS workflows.
  • Avid creator of first-principles playbooks to guide AI-native product teams and blog posts
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PRODUCTS DELIVERED

01
AI LLM-Based Content Automation Platform (Evertise)
02
ML-Driven Customer Prioritization Solution (LinkedIn)
03
Freemium-to-Paid Conversion ML Models (Sumo Logic)
04
Data Management Platform for the China (LavaPM)
05
Predictive Analytics & BI Dashboards for Executives (8×8)
06
Churn & Upsell Detection Pipelines (8×8, Intercom)

PRODUCT-DRIVEN AI EXPLORATION

Dedicated to the design and evolution of AI and SaaS product systems
Conducts ongoing research in LLM architectures, prompt systems, agent design, and cognitive frameworks
Builds intelligent assistants and internal tools to accelerate experimentation and product creation
Explores the intersection of human-computer collaboration through product-driven research
Committed to developing frameworks and tools that scale with both technical rigor and human clarity
Passionate about product intuition, pattern recognition, and shipping artifacts that endure

DOMAIN EXPERTISE

01
SaaS Product Strategy — 0→1 product launches, NSM roadmapping, GTM optimization
02
AI/ML Systems — Generative AI, LLMs, Prompt Engineering, Explainable AI
03
Cloud & MLOps — Vertex AI, Azure ML, SageMaker, Kubeflow, CI/CD pipelines
04
Data Intelligence — KPI design, model performance analytics, usage telemetry
05
Cross-functional Execution — Leading engineering, data, and design in agile workflows
06
Responsible AI — Governance frameworks, bias mitigation, model compliance

TECHNICAL & PRODUCT SYSTEMS EXPERTISE

  • AI/ML: Generative AI (ChatGPT, Copilot), Retrieval-Augmented Generation (RAG), AWS SageMaker, Google Vertex AI, Vertex AI Pipelines, Vertex AI Training, Vertex AI Agent Builder, Llama 3.1, Llama 3.2, Azure ML, Azure AI Foundry, Azure AI Model Catalog, Amazon Bedrock, Amazon Nova Models, IBM Watson, Explainable AI (SHPA, LIME), LLM, Prompt Engineering, TensorFlow, PyTorch, Hugging Face
  • Product Lifecycle (Agile/Scrum): Planned sprints, groomed backlogs, and aligned releases with real user needs.
  • Technical Program Management: Managed dependencies, tackled risks, and fixes when schedules got tight.
  • Agents: Auto-GPT, BabyAGI, NoCode, LangChain, Agentic Framework
  • Programming & Modeling: Python (Pandas, NumPy, scikit-learn), C++, SQL, Regression, Classification, Neural Networks, Random Forest
  • Big Data & Cloud Platforms: Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure Cloud, Snowflake, Redshift, BigQuery, Hadoop, Spark, Databricks, MLflow, DataRobot, Kubeflow, Scale AI, Labelbox, Hugging Face Transformers, TorchServe, ONNX, TensorFlow Serving, Pinecone
  • MLOps & DevOps: Docker, Kubernetes, Fiddler AI, Arize AI, GitHub, GitLab, Bitbucket, Jenkins, Terraform
  • Analytics & Visualization: Tableau, Microsoft Power BI, Looker, Matplotlib, Seaborn, Google Data Studio, Oracle BI, Segment
  • Agile Tools & Methodologies: Scrum, Kanban, Scaled Agile Framework (SAFe), Stakeholder Workshops, Backlog Grooming, JIRA, Asana, Confluence, ADOS, Notion, Design Thinking, use cases, user stories, prototyping, UI/UX flows
  • ETL/Data Integration: Informatica, Dell Boomi, Fivetran, Apache Airflow,
  • Automated Testing & QA: Scrapy, Selenium, JMeter
  • Observability & Continuous Intelligence: New Relic, Splunk, Elastic, SumoLogic, MixPanel, Prometheus, Grafana
  • Product Frameworks: RICE, Kano Model, MoSCoW Prioritization, Opportunity Solution Tree, Value vs Effort Matrix, AARRR (Pirate Metrics), Jobs To Be Done (JTBD), Lean Canvas, North Star Metric Framework, Product/Market Fit Engine, Customer Journey Mapping, Design Sprint Framework, Experimentation Matrix
  • Product Management Tools: Miro, Whimsical, Figma, Productboard, Aha!
  • Product Analytics: Amplitude, Mixpanel, Heap, Pendo, PostHog, Optimizely, Segment