BASED IN INDIA / NEPAL
OPEN TO REMOTE WORLDWIDE
AYUSH KARN - SOFTWARE ENGINEER
I design and build software, cloud, data and AI systems. I turn complex problems into reliable products and platforms.
01 / PROBLEM
Align users, goals, constraints, risks, and success measures before choosing technology or committing to a build.
02 / ARCHITECTURE
Define boundaries around scale, coupling, security, reliability, cost, and change so the system can evolve safely.
03 / BUILD
Connect the interface, APIs, services, tests, observability, and delivery pipeline into a product people can depend on.
04 / DATA
Move from ingestion through cleanup, transformation, quality checks, validation, and lineage without losing meaning.
05 / INTELLIGENCE
Connect knowledge, context, embeddings, retrieval, models, and evaluation so AI answers stay useful and grounded.
A testable problem statement
Systems built to solve real problems across software, data, cloud, and intelligence.
SOFTWARE / DESKTOP / PRODUCT
A local-first Windows companion that turns active work time into gentle, context-aware break reminders.
AI / SOFTWARE / AUTOMATION
A human-in-the-loop email agent that turns inbox clutter into reviewed actions and structured tasks.
AI / DATA / PERSONAL FINANCE
Private financial analysis, powered entirely by local intelligence.
I work across layers, connecting product thinking with the engineering depth required to make systems last.
Backend systems, REST APIs, web applications, service architecture, and distributed systems.
+Solution architecture, integrations, scalable platforms, cloud systems, and enterprise design.
+Pipelines, lakehouse architecture, transformation, metadata, lineage, and governance.
+LLM applications, RAG, local AI, document intelligence, and assisted workflows.
+HP INC.
Building enterprise platforms across software, data, cloud, and architecture.
Designed integration workflows connecting ERP, warehouse, lakehouse, and metadata ecosystems. Improved visibility into enterprise data flows while preserving ownership and operational context.
Developed services and data products connecting operational systems with analytical platforms.
A private, local-first system for understanding personal financial data.
Evaluation, retrieval strategy, and dependable agentic systems.
New interfaces between human intent and software creation.
Notes on building dependable systems and making complexity easier to reason about.
Think about how components interact before optimizing individual pieces.
Good abstractions usually appear after understanding the underlying problem.
Production systems should be understandable, observable and predictable.
Data boundaries belong in the design conversation from day one.
DIGITAL ENGINEERING SKETCHBOOK
Prototypes, visualizations, and technical studies that explore ideas before they become systems.
HOW I OPERATE
My work moves between code and systems thinking, understanding a difficult problem, finding the right boundaries, and building something people can trust.
Outside engineering, I practice traditional drawing and watercolor, a different way of learning to observe carefully.
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