Heya /
I'm karthik. I build systems by cutting through the illusion of how things are supposed to work, down to the hard reality of how they actually execute. I do not believe in surface-level fixes or forcing predefined frameworks onto nuanced spaces. Every complex environment has a breaking point where Work-as-Imagined collides with the messy reality of Work-as-Done. My mandate is to embed at that exact point of friction. I interrogate the terrain, strip away the theoretical noise, and prioritise absolute depth to engineer architectures rooted in ground truth-simultaneously acknowledging the fact that the survival of any system depends on the subjective experience of the humans operating it too.
The tool must match the reality of the problem. After all, you can't shoot a rat with a SCAR rifle.
- An ancient proverb (just kidding, I made that up).
Case Studies
Resolving Structural Resource Imbalance Through Information-Guided Routing.
Built a hybrid ABM/DES simulation resolving multi-node network collapse under asymmetric demand. By modeling 'friction transfer', dynamic routing reduced mean SLA breaches by 94.8% without headcount expansion. Crucially, high variance (σ=12.68) quantified stochastic brittleness, exposing distinct resilience deficits.
Go to PageResolving Structural Resource Imbalance Through Information-Guided Routing.
Built a hybrid ABM/DES simulation resolving multi-node network collapse under asymmetric demand. By modeling 'friction transfer', dynamic routing reduced mean SLA breaches by 94.8% without headcount expansion. Crucially, high variance (σ=12.68) quantified stochastic brittleness, exposing distinct resilience deficits.
Go to PageIsolating Breakout Precursors:
A Multi-View Architecture for Sparse Network Analysis.
Engineered a descriptive anomaly pipeline normalising 75,000+ sparse identifiers. To avoid overfitting an extreme 11,360:1 class imbalance, the architecture explicitly keeps the machine learning model blind to network influence features, routing graph data directly to a multi-view dashboard for rigorous structural diagnosis.
Go to PageIsolating Breakout Precursors:
A Multi-View Architecture for Sparse Network Analysis.
Engineered a descriptive anomaly pipeline normalising 75,000+ sparse identifiers. To avoid overfitting an extreme 11,360:1 class imbalance, the architecture explicitly keeps the machine learning model blind to network influence features, routing graph data directly to a multi-view dashboard for rigorous structural diagnosis.
Go to PageRedesigning Clinical Decision Infrastructure in High Stakes Environments.
Standard EPRs trap clinical data in retrospective ledgers, forcing manual synthesis that degrades diagnostic reasoning. I transformed this infrastructure, building an atomic data model that maps medical events as interacting, multidimensional objects. Empirically validated against a legacy baseline-incorporating qualitative probes for behavioural anomalies, which reveals underlying clinical workflow paradigms and bottlenecks.
Go to PageRedesigning Clinical Decision Infrastructure in High Stakes Environments.
Standard EPRs trap clinical data in retrospective ledgers, forcing manual synthesis that degrades diagnostic reasoning. I transformed this infrastructure, building an atomic data model that maps medical events as interacting, multidimensional objects. Empirically validated against a legacy baseline-incorporating qualitative probes for behavioural anomalies, which reveals underlying clinical workflow paradigms and bottlenecks.
Go to PageAbout /
Who Am I
I'm originally from Kochi, southern India, and my path to an MSc in HCI at the University of Nottingham has been a relentless process of trial, error, and elimination. I explored entirely different disciplines before completing a Bachelor's in Fashion Design at NIFT Mumbai - which is where I first encountered UX, and where I realised I cared far more about how things work under the surface than what they look like on the outside. I quickly realised that standard paths like marketing, fintech, or B2C commerce didn't align with what I was looking for. I wasn't driven by designing for consumer conversion. I needed an environment where the operational stakes were higher, and the constraints were much more complex.
The turning point wasn't an epiphany. It was getting into the actual work of qualitative and quantitative research - and discovering that the most revealing moment isn't when a user struggles with a system. It's when they don't struggle, feel confident, and are completely wrong. The gap between how a system performs and how a user believes it performs - that disconnect is where the real design problems live, and uncovering it is what feeds my brain.
Even now, I don't claim to have it all figured out. I just show up every day to dissect complex realities - because the act of seeking is what actually drives me.
Interests
I am a Gooner for life. Mikel Arteta's management and the recent trajectory of Arsenal have been a massive inspiration to me. Watching a team go from being labeled "bottle jobs" to proving that consistent effort, tactical discipline, and an absolute obsession with the process actually results in a Premier League title is incredible to witness.
Sonically, I gravitate toward UK Garage, experimental electronic, and conceptually dense Hip-Hop - specifically albums like Liquid Swords, Good Kid, M.A.A.D City & untrue by Burial.
Timeline
- National Institute of Fashion Technology (2019-2023)
- UX Designer - Makerble (2024-2025)
- MSc Human Computer Interaction - present (2025-26)
Disciplines & Instruments
Life is a constant process of inquiry, and every obstacle is a learning opportunity. These are the core disciplines and tools I have acquired along the way:
Core Disciplines
- Human-Centred Design Process
- Cognitive Ergonomics in Design
- Human Factors & Human Performance
- Generative Research (Bottom-Up)
- Formative Research & Evaluation (Top-Down)
- Design Ethnography
- UX Research & Evaluation (Quantitative and Qualitative)
- Heuristic Evaluation
- Usability Testing
- Simulation & Optimisation for Decision Support
- Data Analysis
- Data Visualisation
- Data Architecture (SQL Foundations)
Tools
- AnyLogic
- IBM SPSS
- R
- Figma
- Adobe Suite
- Atlassian Suite
- Microsoft Clarity
- Google Analytics
Contact /
I look past the surface to understand how complex architectures function underneath. My work is about bridging the gap between system topology and subjective human experience and performance in a Product experience and outcomes.