By titles, I'm a Security engineer and product-minded builder working across customers, systems, data, and operational constraints.
By practice, I learn how the system actually works, find where people get stuck, and turn fragmented reality into reliable workflows they can use.
Understand the systems, constraints, users, and handoffs already in play.
Separate the stated request from the thing slowing people down.
Integrate what exists, prototype what is missing, and make the workflow usable.
Watch what gets adopted, what gets ignored, and what should become reusable product capability.
These are the situations where someone needs to learn the environment first and not just PR against a spec.
What I learned when the system met reality. Each case study maps how fragmented environments became usable workflows — and what became repeatable.
01 / FIELD DEPLOYMENT · SECURITY OPERATIONS
Deploying a usable security workflow across fragmented customer environments.
Unified host telemetry, multi-vendor firewall data, and customer context into findings teams could prioritize, remediate, and follow through on.
THE ENVIRONMENT
IT and OT telemetry · three firewall ecosystems · inconsistent configuration formats · customer-specific baselines · security teams across consoles, tickets, and spreadsheets
WHAT WAS BREAKING
Teams had data everywhere but no consistent path from scattered evidence to a trustworthy action.
WHAT I DID IN THE FIELD
Mapped customer decision workflows, normalized multi-vendor data, built context-aware detection, and connected deployment into the product.
WHAT CHANGED
~60% reduction in manual audit effort · prioritized findings with credible next actions
WHAT BECAME REUSABLE
A finding was only valuable with customer-specific context and a credible next action — not merely a severity label.
02 / FIELD DISCOVERY · MISSION-CRITICAL SYSTEMS
Field discovery in a time-critical military workflow.
Through 30+ interviews, simulator observation, and live-exercise shadowing, we found friendly-force information already existed — but lived outside the commander's sightline.
THE ENVIRONMENT
M1 Abrams tank crews · JMRC Germany · DCTC Poland · BFT, MFoCS, and JBC-P battlefield systems · ≤5 seconds to identify a target
WHAT WAS BREAKING
The information already existed. The problem was that it was not available where the decision happened.
WHAT I DID IN THE FIELD
30+ stakeholder interviews, simulator and live-exercise observation, assumption reversal, and integration into the commander's existing display.
WHAT CHANGED
Reframed from 'better interface' to placing the right signal inside the operational display crews already use.
WHAT BECAME REUSABLE
Operators won't leave the sight picture under fire — we need to surface friend-or-foe inside the display they already trust, not add another system to check.
03 / CLIENT WORKFLOW DEPLOYMENT
Deploying AI into an expert intake workflow without replacing human judgment.
Turning expert intake into a repeatable handoff system — the first conversation should collect context, not consume all the expert time.
THE ENVIRONMENT
Cyber-risk insurance intake · client owner and downstream underwriting team · ~2 hour first calls · eight security domains
WHAT WAS BREAKING
Expert time was spent repeatedly gathering foundational information before the team could focus on judgment.
WHAT I DID IN THE FIELD
Mapped client workflow with the owner, constrained the MVP, built voice-led intake, structured outputs, and designed human handoff boundaries.
WHAT CHANGED
Reduced average intake from ~2 hours to ~30 minutes with structured handoff reports.
WHAT BECAME REUSABLE
Repeatable intake structure: domain prompts, clarification logic, structured outputs, report generation, and a safe handoff boundary.
The parts of my work that live outside a deployment story but shapes how I think.
Facebook Community Initiative · Online
Founded a community initiative teaching parents practical cyber safety — translating security know-how into guidance families can actually use.
Hacking for Defense (H4D) · United States
Project on reducing friendly fire in armored warfare published on the official H4D success stories site.
USENIX SOUPS · Philadelphia, PA
Poster on privacy preferences in multi-user smart personal assistant settings.
JMRC / Lean Innovation Lab · Poland & Germany
On-site research with JMRC as part of CMU's Lean Innovation Lab, evaluating operational technology in real-world military training.
Ahmedabad University · India
Speaker on college-to-career stories and reflections with prospective students.