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I am Saksham Goyal — a developer who turns ambitious ideas into thoughtful, usable software. My work moves between intelligent workflows, data-rich interfaces, and secure cross-platform systems.
I care about the full arc: a clear problem, an elegant interface, reliable engineering, and the small details that make a product feel inevitable.
AI applications
full-stack systems
real-time experiences
developer-first UX
Elara is a personal style intelligence system. It starts with what someone already owns, understands the moment they are dressing for, and turns that context into a confident next look — not an endless scroll of options.
Click a layer to look inside the product thinking.
01 / Start with the wardrobe — make owned pieces useful again
Elara treats a wardrobe as personal context, not a product catalogue. The goal is to surface combinations that feel wearable, specific, and true to the person — before suggesting something new.
02 / Meet the moment — closet, hybrid, or shopping
A good recommendation changes with the occasion, weather, budget, culture, and personal taste. Elara can work from the closet, blend owned pieces with a few purposeful additions, or guide a new purchase when that is genuinely the right move.
03 / Give a decision, not a menu — creative taste with engineering discipline
The experience is designed to feel like advice from a stylist with context: distinct outfit directions, clear reasoning, and practical details that help someone act. Underneath, deterministic checks protect the parts software should never guess.
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Conversational exploration for complex order-to-cash data — natural-language queries, graph visualisation, streaming answers, and practical guardrails.
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A visual canvas for composing AI workflows. Connect models, prompts, media processing, and background tasks into expressive, executable pipelines.
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Privacy-first clipboard sync across Android and macOS, with end-to-end encryption, QR pairing, offline delivery, and a zero-knowledge relay.
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From AI-powered dashboards and code analysis to finance, collaboration, and interface experiments — I use side projects to keep testing new ideas.
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01 Start with the real user problem, not the feature list.
02 Make the complex interaction feel simple and fast.
03 Design the architecture for the happy path and the hard edges.
04 Ship, observe, refine — then raise the bar again.
| Layer | Technologies I reach for |
|---|---|
| Product UI | TypeScript · React · Next.js · Tailwind CSS · React Flow |
| Backend & data | Python · FastAPI · Node.js · Go · PostgreSQL · Prisma |
| AI & automation | LLM integrations · streaming workflows · background jobs · evaluation-minded guardrails |
| Platforms | Kotlin · Swift · WebSockets · Docker · GitHub Actions |
Good software should feel calm on the surface and serious underneath.
Want to build something memorable? Browse the repositories and reach out through GitHub.