Artificial Intelligence
Designing systems that reason, recommend and adapt to the people who use them.
Future question
How can AI augment human judgment without replacing it?
Applications
Adaptive tutoring, decision support, personalization.
Based in India · Open to research & internships
Raghav Kaushal
Computer Science Student · Systems Thinker · Aspiring Researcher
Building intelligent systems that explore learning, decision-making, behavior, and human interaction with technology.
I design research-inspired software systems at the intersection of computer science, analytics, simulation, and human-centered design.
RK
Raghav Kaushal
"Exploring how humans learn, think, decide and interact with intelligent systems."
9
Projects Built
10
Research Areas
50+
Technologies & Concepts Studied
6
Advanced Systems Designed
01About
A builder who treats software as a way of thinking.
I started writing software the way most people do — to make things work. Somewhere along the way the questions changed. Instead of asking how do I build this, I began asking what does this teach me about people?
That shift is the throughline of everything here. I build systems to understand behavior, learning, attention and decision-making — treating each project as a small research instrument rather than a product.
I'm drawn to the intersection of computer science, artificial intelligence and human-centered design, where technical depth meets questions about cognition and society. My goal is to become a researcher and builder who creates technology that genuinely helps people learn, think and decide better.
I'm also interested in what happens after the research. Several of these projects, including an economic simulation and an opportunity-matching engine, sit as close to markets as they do to cognition. I want to study computer science alongside economics and business rather than apart from them. In the long run I expect to build something of my own, after learning how it's done somewhere established first.
Why Computer Science?
Because it is the most powerful lens we have for studying complex systems — including the most complex system of all: human thought.
Why research?
I am less interested in shipping features than in asking questions. Each project is an experiment in how people learn, decide and behave.
Why these projects?
They are not isolated apps. Together they form one inquiry into how humans interact with intelligent systems.
What impact do I hope to create?
Technology that makes people more capable, more aware and more equal in their access to learning and opportunity.
02Research
Research under Dr. Ajay Prasad.
An externally supervised research internship is part of this record. Institution, dates, methods, and outputs will be added when they are confirmed.
Research internship
The work is ongoing. This page will document the research question, my contribution, the data and tools used, and what came out of it once those details are ready to publish accurately.
03Research Interests
The questions I want to spend my life on.
Ten domains that overlap more than they separate. Each card pairs a description with a future research question and where it could matter in the world.
Human–Computer Interaction
Studying how interface and behavior shape attention, trust and understanding.
Future question
How does design change the way people think and decide?
Applications
Digital wellbeing, focus tools, interface research.
Cognitive Science
Modeling how people learn, remember and make decisions under uncertainty.
Future question
Can software mirror the structure of human reasoning?
Applications
Behavioral modeling, decision simulation.
Educational Technology
Engineering learning systems that adapt to each learner and scale access.
Future question
How can technology reduce educational inequality?
Applications
Adaptive learning, knowledge pathways, equity tools.
Behavioral Analytics
Turning telemetry into insight about how people actually behave over time.
Future question
What can behavioral data teach us about productivity?
Applications
Self-knowledge dashboards, habit systems.
Information Systems
Helping people evaluate, organize and trust the information they consume.
Future question
How do we engineer credibility in an age of noise?
Applications
Source evaluation, knowledge infrastructure.
Data Science
Statistical reasoning and visualization that make complex systems legible.
Future question
How do we make data tell an honest story?
Applications
Telemetry, dashboards, statistical analysis.
Simulation Engineering
Building models of complex systems to study emergent, stressed behavior.
Future question
How do interconnected systems behave under pressure?
Applications
Economic simulation, systems modeling.
Decision Intelligence
Understanding and supporting how people choose amid risk and influence.
Future question
What shapes good decisions under uncertainty?
Applications
Decision tooling, risk reasoning.
Learning Technologies
Reimagining the infrastructure that organizes human learning.
Future question
How should knowledge be structured to be learnable?
Applications
Curriculum graphs, intelligent pathways.
04Projects
A research portfolio, not a list of apps.
Nine systems, grouped by the human questions they investigate — from memory and attention to learning, information and complex systems.
G1
Human Behavior & Cognition
Computational BehaviorEchoState
Research question
How can virtual characters remember and respond to human behavior over time?
- Problem
- Most interactive agents are stateless — they forget the human the moment an interaction ends, breaking continuity and trust.
- System architecture
- An event-sourced memory layer captures interaction history, distills it into a persistent behavioral profile, and conditions responses on accumulated state.
- Impact
- Demonstrates persistent, context-aware agents that feel continuous rather than transactional.
TypeScriptReactState MachinesBehavior Modeling
Why it mattersUnderstanding computational behavior systems.
Behavioral AnalyticsLifeOS
Research question
Can behavioral analytics help people understand and improve productivity?
- Problem
- People rarely have an honest, data-grounded picture of how they actually spend their time and energy.
- System architecture
- A telemetry pipeline aggregates activity signals into a personal analytics warehouse, surfaced through interpretable dashboards and trend detection.
- Impact
- Turns raw behavioral telemetry into self-knowledge and actionable productivity insight.
ReactNode.jsData VisualizationAnalytics
Why it mattersHuman-centered software systems.
Attention & HCIFocusMirror
Research question
How does digital behavior influence attention and productivity?
- Problem
- Digital environments fragment attention, yet people lack a mirror that reflects how their behavior shapes focus.
- System architecture
- Session telemetry feeds an attention model that scores focus states and reflects patterns back through calm, non-judgmental visualizations.
- Impact
- Helps users see — and reshape — the link between digital habits and sustained attention.
TypeScriptBehavior ModelingHCITelemetry
Why it mattersHuman-computer interaction and behavioral modeling.
Cognitive ScienceDecisionLab
Research question
How do people make decisions under uncertainty, pressure, and social influence?
- Problem
- Decision-making research is hard to make tangible: abstract biases rarely translate into observable, testable systems.
- System architecture
- An experiment engine presents controlled decision scenarios, captures choices and timing, and models behavior against probabilistic baselines.
- Impact
- Operationalizes cognitive-science questions into measurable, repeatable software experiments.
PythonExperiment DesignStatisticsReact
Why it mattersComputer Science + Cognitive Science.
G2
Learning & Educational Intelligence
Adaptive LearningNeuroShift
Research question
Can software adapt itself based on how people learn?
- Problem
- Static curricula treat every learner identically, ignoring how understanding actually develops.
- System architecture
- A learner model infers mastery from interaction signals and an adaptive engine reshapes content sequencing in real time.
- Impact
- Shows how learning software can personalize pace and path to the individual.
Adaptive AlgorithmsReactAnalyticsAI
Why it mattersAdaptive learning systems.
Educational EquityScholarMap
Research question
How can technology reduce inequality of educational opportunity?
- Problem
- Access to opportunity is unevenly distributed and hard to navigate, especially for under-resourced learners.
- System architecture
- A structured opportunity graph maps learners to relevant programs and resources through eligibility-aware recommendation.
- Impact
- Makes pathways to opportunity legible and reachable for more students.
Recommendation SystemsReactNode.jsData
Why it mattersEducational intelligence systems.
Knowledge InfrastructureOpenLearn Atlas
Research question
How can learning resources be organized into intelligent pathways?
- Problem
- Open educational resources are abundant but unstructured, leaving learners without a coherent route through them.
- System architecture
- A dependency-aware curriculum graph links concepts into ordered pathways, generating personalized learning routes.
- Impact
- Transforms scattered resources into navigable, scalable learning infrastructure.
Graph ModelingTypeScriptReactData Science
Why it mattersScalable educational infrastructure.
G3
Information & Knowledge Systems
Information CredibilitySourceLens
Research question
How can software help people evaluate information quality online?
- Problem
- Readers face an overwhelming stream of information with few tools to assess credibility and provenance.
- System architecture
- A credibility engine analyzes source signals, surfaces provenance, and presents transparent, explainable trust indicators.
- Impact
- Equips people to reason about — not just consume — the information they encounter.
PythonAnalyticsNLP ConceptsReact
Why it mattersInformation credibility engineering.
G4
Complex Systems & Simulation
Systems SimulationMarket Collapse
Research question
How do interconnected economic systems behave under stress?
- Problem
- Cascading failures in coupled systems are hard to intuit without the ability to simulate stress and contagion.
- System architecture
- An agent-based simulation models interdependent actors and propagates shocks to study emergent collapse dynamics.
- Impact
- Reveals how local stress becomes systemic risk through interconnection.
SimulationPythonData VisualizationModeling
Why it mattersSystems engineering and simulation design.
05The Research Map
One inquiry, many connected threads.
Every project sits on a map of overlapping ideas. Hover, tap or tab to a node to trace how behavior, learning, decision-making, information, simulation, AI and education connect.
How to read this
A connected thesis
These aren't seven separate interests. Each project draws on several at once, and the map traces which.
7 nodes · 11 connections
Why these projects matter
These projects are not isolated apps. Together they explore how people understand the world.
LearnThinkFocusDecideBehaveProcess InformationInteract with Technology
This is the central theme of the portfolio: a single, sustained curiosity about how humans learn, think, focus, decide, behave, process information, and interact with technology — pursued through software built to ask questions, not just to ship.
06Capabilities
Skills organized by what they let me do.
Not a buzzword list — a toolkit grouped around building, modeling, analyzing and researching.
01
Software Engineering
ReactNext.jsTypeScriptJavaScriptPythonNode.jsGit
02
Artificial Intelligence
Recommendation SystemsAdaptive AlgorithmsBehavior ModelingAnalytics
03
Data & Analytics
SQLStatistical AnalysisData VisualisationTelemetryIndexedDB
04
Research & Design
Experiment DesignHCIInformation ArchitectureUX ResearchBehavioral Analysis
07Trajectory
From creative systems to computational research.
A short arc that shows how the questions — and the systems — keep getting deeper.
2025
Creative Systems
Began building software to understand human behavior — memory-aware agents, behavioral analytics and attention research. First steps from coder to systems thinker.
2026
Advanced Computational Systems
Moved into adaptive learning, decision intelligence, information credibility and complex-systems simulation — connecting projects into a single research thesis.
08Record
Building, leading and learning in the open.
Projects
Designed and built 9 research-oriented systems across 4 themes.
Research Activities
Research internship under Dr. Ajay Prasad; further details will be added once the institution and dates are confirmed.
09Future Research Vision
A research statement, written early.
I want to spend the next decade studying the relationship between human cognition and intelligent systems — building technology that makes people more capable rather than more dependent.
My work will sit at the meeting point of artificial intelligence, human-computer interaction and the learning sciences: adaptive systems that teach, decision tools that respect human reasoning, and interfaces that protect attention and wellbeing. Above all, I care about educational equity — using computation to widen, not narrow, who gets to learn.
AI for Education
Human–AI Interaction
Learning Technologies
Decision Intelligence
Behavioral Computing
Digital Wellbeing
Educational Equity
10Contact
Let's discuss research, building, or what's next.
Open to research collaborations, internships, undergraduate admissions conversations, and opportunities in AI and software engineering.
raghav.kaushal@example.comEmailgithub.com/raghavkaushalGitHub
Research Interests
Artificial IntelligenceHuman–Computer InteractionCognitive ScienceEducational TechnologyBehavioral AnalyticsInformation SystemsData ScienceSimulation EngineeringDecision IntelligenceLearning Technologies
Currently Open For
Research CollaborationsAI & Machine LearningOpen SourceInternshipsRemote Opportunities
10
Research Areas
9
Projects Built
Open
To Collaborations
2027
Undergraduate Entry