Sumo Logic

• 4-Agent Autonomous Security Investigation Platform → Production multi-agent system with autonomous learning loop. Sub-3 minute agentic MTTR at enterprise scale. [Featured Case Study]

• Metrics Copilot → Context-aware query suggestions preventing overspend on overly broad queries. Saves $2.5M/year in compute costs. Eliminates "blank start" problem with continuous suggestions based on user input and results.

• Sumo QL Copilot → Industry-first autocomplete with multi-turn conversation for natural language security queries. 78% reduction in query syntax errors. Shipped to production, serving thousands of queries daily.

• Cybersecurity Rules Agentic Assistant → Autonomous SIEM rule creation, translation, and maintenance. Converts analyst intent into production security rules without manual syntax.

• Sumo Dojo → Slack-based investigation assistant enabling SOC analysts to query security data conversationally without leaving their workflow.

• Knowledge Assistant → Built POC in 1 week based on 2,500 docs + 1,000 support logs. Personally collected and automated document retrieval, normalization, sanitization, and formatting. Built a complete AI knowledge system on Amazon Q. Worked with PhD Data Scientists to harden and ship. Demo’d at AWS re:Invent 2025.

LogicMonitor

• AI M&A Integration (Airbrake, Unomaly, Dexda) → Led AI product evaluation and integration strategy for 3 acquisitions. Assessed ML algorithms, architecture, and ROI multipliers. Contributed to $150M ARR growth. Financial Times Americas' Fastest Growing Companies 2023.

• Log Anomalies (LM + Unomaly) → Integrated Unomaly's ML-powered anomaly detection into unified observability platform. Automated identification of unusual patterns across log data at scale.

• Alert Grouping & Noise Reduction (LM + Dexda) → Integrated Dexda's predictive fault detection to correlate and suppress alert storms. Reduced alert fatigue for IT operations teams.

• AI-Driven Dynamic Alert Rules → Adaptive ML modeling that automatically adjusts alert thresholds based on historical patterns. Eliminates manual threshold tuning.

Aible

• No-Code AutoML Platform applied to operational / telemetry data to drive decisions and workflows → Employee #6. Head of AI Product and Experience Strategy. Built business-impact-focused AutoML that optimized for ROI instead of accuracy. Shipped concept to GA in 90 days through 30+ rapid prototyping iterations. 6 patents filed. First product in Gartner Summit history to sell directly from the booth. Gartner Cool Vendor 2019. $100M+ valuation within 3 months of launch. [Featured Case Study]

GE Digital (BHGE)

• Corrosion Manager → Rescued dormant industrial AI product with zero traction. Repositioned value proposition in 24 weeks: pivoted from "predict pipe failure" to "extend asset life." Generated $42M pipeline from single conference — highest pre-sales of any GE Digital product. 6 patents filed. [Featured Case Study]

• LNG Acid Gas Reduction System → Reframed AI-driven human operator replacement as "blind spot indicator" — augmenting operators rather than replacing them. Shifted customer perception from threat to tool.

• Smart Alerts Propagation → BP flagship deployment. Intelligent alert correlation and escalation for industrial operations. Reduced noise while ensuring critical events surface immediately.

WaterBit

• Smart Irrigation Platform → Flagship precision agriculture product using soil sensors and weather data to optimize water usage. Automated irrigation scheduling for commercial farms.

• Soil Modeling → ML-driven soil moisture prediction combining sensor data, weather forecasts, and crop requirements. Enables proactive irrigation decisions.

Cisco

• $3.7B AI M&A Analysis (AppDynamics) → Built internal observability platform that validated AppDynamics acquisition decision. Participated in executive acquisition discussions demonstrating product-market fit.

• Security Rule Creation with Microsoft Bot → Pre-ChatGPT NLP copilot (2016) enabling conversational security rule creation using Microsoft Bot Framework + LUIS.

• Slack-Based Investigation Assistant → Pre-ChatGPT conversational analytics in Slack. Natural language queries against security data without leaving team communication flow.

• Smart Meter → IoT monitoring for smart energy metering infrastructure. Real-time device health and usage analytics.