About
I build systems with people in mind.
My work sits where reliable software, practical business, and human behavior overlap.
Most of my work begins with one question: what changes when we understand the system and the person using it together?
I work as a Software Development Engineer at Freecharge Payment Technologies, helping build payment infrastructure where transaction integrity, idempotency, and reliability matter deeply.
Alongside production engineering, I am completing a Master of Computer Applications at Chandigarh University, with a focus on machine learning, natural language processing, and algorithms.
Technology shapes what is possible. Psychology explains what matters to people. Business turns that understanding into value. AI is changing the pace and shape of all three.
Through Sheesh Unfiltered and essays on Medium, I share field notes on building small businesses, using AI well, navigating career shifts, and the biases that shape customer decisions.
I value clear thinking over hype, evidence over vanity metrics, and software that earns its place by solving a real human problem.
Career
Experience
A record of the roles that shaped how I build and think.
Aug 2024 - Present
Software Development Engineer · Freecharge Payment Technologies, IN
- Build and maintain reliable payment systems processing high transaction volumes with 99.99% uptime.
- Design fast event pipelines with Kafka and Redis for real-time settlements and ledger balance updates.
- Speed up payment APIs by 35% through smart PostgreSQL database indexing and Redis caching tiers.
- Partner with product and security teams to stop fraud in real-time without slowing down user checkout.
Key initiatives: Payment Gateway Core Engine · Real-time Settlement & Reconciliation Service · Merchant Webhook Dispatcher
Mar 2023 - Jun 2024
Backend Developer · Quantum Dynamics Corp., FR
- Built clean, high-performance RESTful and GraphQL APIs for enterprise client applications.
- Migrated databases, improved table structures, and added indexes to make slow queries run fast.
- Wrote comprehensive automated test suites, lifting test coverage from 45% to over 85%.
- Containerized microservices with Docker and set up automated CI/CD pipelines on Google Cloud.
Key initiatives: Enterprise Data Ingestion API · Automated Role-Based Access Control (RBAC) Module
Nov 2022 - Mar 2023
Full Stack Developer Intern · Innovation Incubator Advisory, IN
- Turned startup ideas and design mockups into working, responsive web applications.
- Built modern dashboards with React and Tailwind CSS, integrating live payments and analytics.
- Assisted senior engineers with relational database design and API testing before public launches.
Key initiatives: Startup Incubation Portal · Portfolio Venture Analytics Dashboard
Sep 2022 - Oct 2022
Software Developer Intern · Full Creative, IN
- Created reusable UI components following accessible design system guidelines.
- Found and fixed frontend performance bottlenecks to make pages load and respond smoothly.
- Participated in agile sprints, code reviews, and pair programming sessions with senior engineers.
Key initiatives: Internal Collaboration Tools · Reusable Design System Components
Academics
Education
The formal foundations behind the practical work.
Master of Computer Applications (MCA)
Chandigarh University, IN · 2024 - 2026
CGPA: 8.95/10
Coursework: Machine Learning in Python, Deep Learning and NLP, Statistics and Data Science, Business Applications of AI, Advanced Database Systems, Design and Analysis of Algorithms, Web Applications Development, Cloud Computing and Analytics, Cybersecurity and Cryptography, Software Testing and Quality
My Mental Model
How I Look At Things
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
Making AI useful enough to trust
The important question is not whether AI is capable, but where it can be useful, dependable, and responsibly applied.
I explore generative AI, agents, and applied machine learning through small experiments that reveal the real trade-offs: capability, reliability, cost, and the need for human judgment.
Startups & Business
Building businesses people choose
A product earns its place when it solves a real problem, makes a clear promise, and gives people a reason to return.
I'm interested in the full loop: understanding demand, shaping a product, earning attention, and learning what customers value enough to choose again.
Right Now
Currently Exploring
Reading
What I'm Reading
Book notes on psychology, business, startups, technology and AI will appear here as I read.
Beliefs
A Few Things I Believe
“Test a small version of your idea today before spending months on an unproven plan.”
“Great software removes effort for people. It never shows off complexity.”
“People don't buy technical specs; they buy safety, status, and peace of mind.”
“A fast backend means nothing if the interface is confusing and hard to use.”
“Shipping fast only helps when you listen closely to real user feedback.”
“Every extra feature brings bugs. Only keep what directly solves an important problem.”
“AI doesn't replace clear thinking; it magnifies sloppy thinking at lightning speed.”
“Understand how the customer feels, not just the technical bug they reported.”
“Simple systems are hard to design, but they are the easiest to trust and maintain.”
“Tight constraints create clean code. Big budgets create slow, bloated software.”
“Prove your idea with real users instead of endless theoretical debates.”
“User trust takes months of reliability to build and one bad design trick to destroy.”
“Master the fundamentals of databases, networks, and memory before chasing trends.”
“One focused builder using modern automated tools can outpace a team stuck in meetings.”