About
A notebook for the space between systems and people.
I build software, study behavior, and write down the patterns that survive contact with reality.
Most of my work starts with the same question: what becomes possible when we understand the system and the person using it at the same time?
Technology explains systems. Psychology explains people. Business connects the two. And increasingly, AI is changing all three.
That's the lens I use to build software, think about startups, and study the ideas worth exploring — and it's the thread that runs through everything on this site.
Interests
Things That Keep Me Curious
01
Technology
Software engineering, system design, programming, infrastructure, and the tools that change how we work.
02
AI
Generative AI, LLMs, agents, machine learning, automation, and the future of intelligent systems.
03
Startups
Products, founders, markets, distribution, competition, experimentation, and building from zero.
04
Business
Strategy, marketing, sales, consumer behavior, pricing, growth, and value creation.
05
Psychology
Human behavior, decision-making, persuasion, motivation, cognitive biases, and why people do what they do.
Thinking
What I'm learning in public
Short notes on technology, startups, psychology, and the ideas that make building clearer.
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Human Behavior
Designing for how people really behave
Technology changes what people can do. Psychology helps explain what they notice, want, trust, and choose.
The pattern I keep returning to: attention creates awareness, emotion creates meaning, desire creates momentum, and trust makes action feel safe.
Artificial Intelligence
Where software starts to reason
The interesting question is not whether AI is powerful. It is where that power becomes genuinely useful.
I'm exploring generative AI, agents, and applied machine learning through small experiments that make the trade-offs visible: capability, reliability, cost, and human judgment.
Startups & Business
Building businesses people choose
Products succeed at the intersection of a real problem, a clear promise, and a reason to come back.
I'm interested in the full loop: finding demand, shaping a product, earning attention, and learning what customers actually value.
Work
Projects & experiments
A working shelf of software, prototypes, and ideas being turned into something useful.
AI-Powered Analytics Dashboard
Real-time analytics platform using LLMs to generate actionable insights from complex data sets.
Transforms raw data into human-readable insights without manual analysis.
Startup Idea Validator
Automated tool that validates startup ideas against market data and consumer psychology principles.
Reduces time-to-market validation from weeks to hours by automating research.
Consumer Psychology Framework
Open-source framework documenting decision-making patterns, cognitive biases, and persuasion principles for product teams.
Provides standardized mental models for product and marketing decision-making.
Distributed System Simulator
Educational tool simulating distributed systems challenges including CAP theorem, consensus, and failure scenarios.
Makes abstract distributed systems concepts tangible through interactive simulations.
AI Agent Orchestration Platform
Framework for coordinating multiple AI agents with different specialties to solve complex multi-step problems.
Enables autonomous agents to work together without manual task routing.
Market Research Automation Engine
Crawls competitor websites, analyzes positioning, and generates competitive intelligence reports.
Replaces manual competitive analysis with automated, real-time intelligence.
My Mental Model
How I Look At Things
Right Now
Currently Exploring
Reading
What I'm Reading
Thinking, Fast and Slow
Daniel Kahneman
A product is experienced by a fast brain first. Reduce the friction, ambiguity, and decisions that make the right action harder than it needs to be.
Zero to One
Peter Thiel
The useful question is not whether an idea sounds contrarian. It is whether the product creates a durable advantage that customers can feel.
The Innovator's Dilemma
Clayton Christensen
Healthy businesses can be disrupted by serving a smaller, ignored use case better. Scale is not protection when the customer experience is misaligned.
Influence: The Psychology of Persuasion
Robert Cialdini
Persuasion works best when it lowers uncertainty without hiding the trade-off. Trust is not a trick in the interface; it is the product of the whole experience.
Design of Everyday Things
Don Norman
When an interface needs a manual, the design has probably handed its complexity to the user. Good tools make the next action legible.
The Lean Startup
Eric Ries
The goal of an early product is not to look complete. It is to expose the riskiest assumption quickly enough to learn before it becomes expensive.
Predictably Irrational
Dan Ariely
People are not random; context changes what feels reasonable. Better products design the context instead of blaming the user for the outcome.
The Alignment Problem
Brian Christian
An AI system can be technically impressive and still be wrong for the people relying on it. Capability needs evaluation, boundaries, and a clear account of who bears the risk.
Sapiens
Yuval Noah Harari
Shared stories coordinate people at a scale that individual logic cannot. Products, brands, and institutions all depend on the meaning people agree to carry together.
The Effective Engineer
Edmond Lau
Engineering impact comes from choosing leverage deliberately: solve the expensive problem, remove recurring work, and spend craft where users can feel it.
Career
Experience
A record of the roles that shaped how I build and think.
Aug 2024 - Present
Software Development Engineer · Freecharge Payment Technologies, IN
Mar 2023 - Jun 2024
Backend Developer · Quantum Dynamics Corp., FR
Nov 2022 - Mar 2023
Full Stack Developer Intern · Innovation Incubator Advisory, IN
Sep 2022 - Oct 2022
Software Developer Intern · Full Creative, IN
Academics
Education
The formal foundations behind the practical work.
Master of Computer Applications
Chandigarh University, IN · 2024 - 2026
CGPA: 8.95/10
Coursework: Machine Learning in Python, Deep Learning and NLP, Statistics and Python in Machine Learning, Business Application of Machine Learning, Web, Social Analytics and Visualization, Advanced Database Management System, Design and Analysis of Algorithms, Python Programming, Advanced Internet Programming, Web Application Development, Big Data Hadoop, IoT, Cloud and Watson Analytics, Cyber Security, Network Security and Cryptography, Software Testing
Beliefs
A Few Things I Believe
“Build the smallest honest test before defending the biggest idea.”
“Technology earns its keep when it removes a real frustration.”
“Understand the customer’s context, not just their request.”
“People don't always buy what they need. They buy what they want, believe in, or emotionally connect with.”
“Stay curious, especially when the obvious explanation feels complete.”
“Execution is a learning system, not a race to ship noise.”
“The best way to predict the future is to build it — not analyze it endlessly.”
“Simplicity is what remains after the hard decisions are made.”
“Every feature is a liability. Only add what solves a real user problem.”
“Strong opinions, loosely held. Be ready to change when presented with evidence.”
“The best product decisions account for both the system and the person inside it.”
“Constraints breed creativity. Unlimited resources breed complexity.”
“Relationships compound when curiosity comes before the transaction.”
“Master the fundamentals first. The fancy stuff comes later.”
“If you can't explain it simply, you don't understand it well enough.”