Founder & Product Lead at Octolynx (2025-01 – Present)
AI predictive talent-assessment platform tackling mis-hires that cost up to $240K per candidate — from fully auditable, trackable job descriptions to a three-dimensional weighted-scoring assessment · Pre-launch, Beta 2026
- Owned an AI product end to end: defined the problem, the metrics, and the roadmap for an AI platform scoring high-stakes decisions in an $18B market — the same full-lifecycle ownership this role calls for, from discovery to live product.
- Prompt design, evaluation & quality bar: designed the operational evaluation frameworks, auditability engine, and quality thresholds that make model output defensible and reproducible — writing and iterating the logic behind the AI, then measuring performance against explicit criteria.
- Semantic text analysis (two patents): secured two filed provisional patents in semantic text analysis for high-stakes assessment — extracting structured, defensible signal from unstructured text, the core technical problem in contract and procurement intelligence.
- Discovery with customers: ran 12+ structured discovery interviews with decision-makers across biotech, pharma, GTM-intelligence, and operations to size the opportunity and pressure-test the product; selected to the Harvard Business School Foundry (top-10% cohort).
- Built it hands-on: architected the full technical system end to end and directed a small technical team through the move from prototype to production-grade infrastructure; own UI/UX end to end in Figma.
Team Lead at CarJudo (2026-01 – 2026-12)
AI decision-intelligence engine de-risking used-car purchases · led a team of 5 (GTM, sales, GM, software) to VC pitch
- Led an AI product from concept to investor pitch: directed a 5-person team through the full lifecycle — problem definition, AI product envisioning, prototyping, business model, and a VC-level pitch deck — for CarJudo, an AI decision-intelligence engine de-risking the $1T US used-car market.
- Turned unstructured data into a decision signal: designed the product to surface $3,000–$5,000 in unpriced annual maintenance exposure and compress fragmented research into a 60-second 1–100 confidence score — the same extract-signal-from-messy-data pattern that underpins contract and procurement intelligence.
- Coordinated across functions: aligned teammates from GTM, sales, general management, and software development around a single product and go-to-market narrative — the cross-functional leadership an AI PM role runs on.
SynthResume — Deterministic RAG synthesis at Independent (2025-01 – 2026-12)
Tool that turns a portfolio into a tailored, ATS-ready resume via RAG · solo end-to-end AI build
- Solved the consistency problem: built a full RAG pipeline with deterministic post-processing guardrails so outputs are reproducible and grounded in real source content (same inputs → same output) — directly addressing hallucination and quality-bar consistency for high-stakes AI features.
Credit-Risk Predictive Model at Independent (2025-01 – 2025-12)
ML model predicting borrower financial distress · capstone project, Machine Learning coursework (MBA, Babson)
- Framed metrics as product decisions: built an ML model on 150K observations, treating the precision/recall trade-off (catching defaults vs. false alarms) as a product decision, not just a metric — and handled severe class imbalance to preserve data integrity.
Operations & New-Vertical Consultant at Independent Practice (2021-01 – 2024-12)
New-vertical launches & turnarounds across 4 clients
- New service line (JJ HealthCare, a Canadian medical-equipment provider): took a recurring-revenue equipment-rental line from idea to launch — market research, pricing, and demand generation — for a 3x sales increase while cutting acquisition cost 30%.
- GIS vertical (DP World, global ports & logistics operator): personally managed every key stakeholder on an inaugural geospatial-mapping project, replacing scattered email threads with a lean Smartsheet ticketing workflow — enabling rapid iteration, saving significant hours, and delivering ahead of schedule; commercial negotiation I led helped the client secure strong project margins.
- Process automation (Dupont Academy, a private tutoring institute): collapsed a 27-step manual student-intake process into one automated sequence — 92% time savings, 10x capacity with no added headcount, 99% fewer errors.
- Revenue turnaround (Galaxy Geomatics, a drone-survey & geospatial firm): rebuilt a pandemic-stalled operation's pipeline and collections — 200% revenue growth and a 60% reduction in receivables.
Founder & Managing Director at ILMATS (2017-01 – 2020-12)
Systems-integration firm I founded (CCTV, access-control & IT infrastructure)
- Built and scaled a business from zero: bootstrapped the firm and delivered 200+ high-stakes CCTV, access-control, and IT-infrastructure projects for institutional and corporate clients — owning strategy, operations, and the P&L end to end.
- Engineered a repeatable growth engine: designed a lead-maturity system that lifted conversion from 50% to 90%, turning ad-hoc demand into a predictable sales operation.
Business Development Lead at Petrocon (2015-01 – 2017-12)
Led overseas market entry for an industrial-services firm
- Launched a market from zero: stood up the firm's overseas branch end to end — office, compliance, and sales lifecycle — building a 100+ qualified-lead funnel and two cross-border JV MOUs that seeded growth to multimillion-dollar revenue and 2,000+ headcount.
Applied Consulting & Field Projects at Various Clients (2024-01 – 2025-12)
Graduate applied and field-consulting engagements — real clients and problems, delivered in teams. Included to evidence breadth of applied product and strategy work.
- Product commercialization strategy (Mass General Brigham Innovation): led a go-to-market study for an objective pain-assessment (fNIRS) medical device — mapped 33 competitors, ran 12+ clinician and manufacturer interviews, and sized the opportunity (TAM $53B / SAM $21.5B). Recommended pivoting from the operating room to higher-fit adjacent markets and delivered a phased 510(k) regulatory-and-funding roadmap ($3–5M, 24–30 months).
- Market adoption modeling (Raytheon Technologies, aerospace & defense): field consulting project (team of 5) — built adoption and market-sizing models to inform go-to-market strategy for a public-safety technology initiative.
- GTM strategy & product innovation (SmartBill, a billing-software company): advised on go-to-market strategy and product-innovation direction — customer and market analysis translated into actionable positioning and roadmap input.
- M&A valuation modeling (Mechanix Wear, a work-glove maker / Fortive): modeled a $264.55M acquisition at 10.5x EBITDA, projecting 20%+ IRR and 1.28x DSCR across bull / base / bear scenarios — the analytical rigor behind sound product and investment decisions.
