Saurav Singh logo
Saurav Singh
Workspace Studio and Technical Blueprint Board
PRODUCT ENGINEERING · SYSTEMS · AI

From user problems to production-ready products.

I help teams understand what users need, shape the right solution, and build scalable applications across frontend, backend, cloud, realtime systems, and practical AI.

View Selected WorkSee How I Help
PROFESSIONAL PROOF

8+ years building and modernizing production software.

8+ YEARSBuilding production software across complex systems.
ENGINEERING LEADERSHIPShaping architecture, guiding engineers & driving delivery.
PRODUCTION SYSTEMSRealtime and data-intensive operational products.
END-TO-ENDFrom understanding the problem to production.
Core Domains & System Types
Enterprise PlatformsTelematicsAdTechSaaSRealtime SystemsData-Intensive Products
Experience shaped across
WIPROLGRELIANCE JIOAZUGA
+ Product building & advisory
01 / Selected Work

Work across complex production systems and products built from the ground up.

Case 01
Modernizing a mature enterprise platform without stopping delivery.
01 / ENTERPRISE MODERNIZATION

Modernizing a mature enterprise platform without stopping delivery.

Legacy workflows → cleaner product boundaries, reusable frontend patterns and incremental migration.

The Challenge

Evolve mature, data-intensive product workflows while established areas continued serving users.

The Outcome

Delivered modernized product modules across frontend, serverless integrations and API contracts — creating clearer ownership boundaries, more consistent UX and safer incremental delivery.

Full-Stack · Next.js · Serverless · Product Migration

View case study
Case 02
Turning continuously changing operational data into a usable realtime product.
02 / REALTIME SYSTEMS

Turning continuously changing operational data into a usable realtime product.

Realtime delivery, freshness, filtering, frontend state and operational UX.

The Challenge

Turn continuously changing operational data into an experience that stayed understandable, responsive and useful without overwhelming the interface.

The Outcome

Built product-facing realtime workflows around live state, filtering, freshness and WebSocket updates so users could understand current conditions and act with greater confidence.

Realtime · Event Streams · WebSockets · Maps · Product State

View case study
Case 03
Keeping important things from quietly drifting out of attention.
03 / INDEPENDENT PRODUCT
Orbit

Keeping important things from quietly drifting out of attention.

From identifying the problem and shaping the product to architecture, payments and production.

The Challenge

Goals, projects, habits and ideas were scattered across notes, reminders, chats and memory — making important things quietly disappear from attention.

The Outcome

Took Orbit from an ambiguous personal problem to a live product — shaping the UX, domain model, authentication, entitlements, payments and cloud infrastructure end-to-end.

0→1 · Product Thinking · Cloudflare Edge · Payments

Explore Orbit Read the story
Case 04
Building a self-service advertising platform from product flow to production operations.
04 / ENTERPRISE ADTECH

Building a self-service advertising platform from product flow to production operations.

Merchant UX, payments, enterprise integrations, distributed workflows and analytics.

The Challenge

Hide the complexity of an enterprise advertising engine behind a guided experience that small merchants could actually use.

The Outcome

Owned the product across multiple stages — from full-stack implementation and production launch to Redis-backed workflow orchestration, operational tooling, analytics and later team leadership.

React · Node.js · MongoDB · Redis · AdTech

View case study
Case 05
Document intelligence that users can actually verify and trust.
05 / AI / RAG

Document intelligence that users can actually verify and trust.

PDF parsing, retrieval quality, grounded answers, citations and trust-first UX.

The Challenge

Insurance policy answers are spread across clauses, exclusions, limits and conditions — a fluent AI answer without supporting evidence is not enough.

The Outcome

Built a practical RAG product end-to-end: document ingestion, chunking, pgvector retrieval, LLM integration, supporting citations and a trust-first product experience.

RAG · pgvector · Retrieval · Citations · Next.js

Try live demo View case study
02 / How I Can Help

When the problem spans product, engineering and architecture.

I’m most useful when the challenge isn’t isolated to one layer — when understanding the product, shaping the system and getting it into production all matter.

01 / MODERNIZE

The product works. But every change is getting harder.

Evolve mature systems without stopping delivery — clarifying boundaries, modernizing critical workflows, improving maintainability, and creating a safer path forward.

Legacy systemsMigrationArchitectureMaintainability
Discuss modernization
02 / BUILD

You understand the problem. Now it needs to become a product.

Turn an ambiguous idea into something people can actually use — from product modeling and UX decisions to full-stack implementation, infrastructure, and production.

Product thinking0→1Full-stackProduction
Talk through the product
03 / IMPROVE

The system works. But performance, reliability or cost are starting to hurt.

Diagnose bottlenecks across frontend, backend, data flow and infrastructure — then improve performance, reliability, operational UX and resource efficiency where it actually matters.

PerformanceReliabilitySystem AuditCost Efficiency
Discuss the system
04 / THINK THROUGH

Something isn't working. But the right solution isn't obvious yet.

Start with a focused technical or product audit, identify the real constraint, make the trade-offs visible, and turn ambiguity into an actionable direction.

Technical AuditArchitecture ReviewProblem FramingAdvisory
Start with the problem
Also building with practical AI

RAG, document intelligence and AI workflows where retrieval quality, evidence and product usefulness matter more than adding a chatbot.

RAGDocument IntelligenceAI WorkflowsTrust-first AI
03 / About

Engineer by craft. Builder by mindset.

I enjoy working on problems where product thinking, engineering depth and real-world constraints meet.

I like understanding why a problem exists before deciding how to solve it — then going deep enough to understand the system, simplify what can be simplified, and carry the solution through to production.

I care about how I work as much as what I build: being transparent when something is uncertain, communicating trade-offs clearly, taking ownership when things go wrong, and continuing to learn when I don't yet know the answer.

01 / START WITH THE PROBLEM

Understand before building.

I want to understand the user, the business context and the real constraint before choosing architecture or technology. Solving the wrong problem elegantly is still the wrong outcome.

02 / BE CLEAR & TRANSPARENT

Say what we know — and what we don't.

I value direct communication, honest estimates and visible trade-offs. If something is uncertain, risky or not working, I would rather surface it early than hide it behind technical language.

03 / GO DEEP, KEEP LEARNING

Don't stop at the first plausible answer.

I like understanding why a system behaves the way it does. I keep learning, testing assumptions and digging deeper until the problem is clear enough to make a deliberate decision.

04 / OWN THE OUTCOME

Stay with the problem until it works.

Shipping code is only part of the responsibility. Reliability, failure states, communication, operations and what the user ultimately experiences are part of the outcome too.

Technical Foundation

The technical foundation behind that way of working.

Product Engineering

React · Next.js · TypeScript · Node.js

Frontend systems · APIs · Product architecture

Systems

Event-driven · Kafka · Redis

Realtime systems · Async processing · Caching

Cloud & Data

AWS Serverless · Cloudflare · SQL

PostgreSQL · DynamoDB · Infrastructure

Applied AI

RAG · Retrieval · Embeddings

Document intelligence · AI-assisted workflows

ALWAYS BUILDING & LEARNING

I build independent products and experiments to stay close to the entire journey — finding a problem, shaping the experience, making technical trade-offs, shipping it, putting it in front of people and learning from what happens next.

It keeps me close to product decisions, unfamiliar problems and technologies I might not encounter in my day-to-day work — and that learning feeds back into how I approach larger engineering systems.

Currently building Orbit
04 / Insights & Writing

Notes from building products, debugging systems, and thinking through what makes software useful.

I write about the engineering decisions that sit behind product experiences — from realtime systems and performance to AI, UX and architecture.

FEATURED / APPLIED AI12 MIN READ

Your AI Can Read a PDF. But What Does It Take to Build a Useful Product?

A practical look at what happens after the RAG demo works — document structure, retrieval, evidence, uncertainty, citations and the product experience around AI.

RAG · PRODUCT ENGINEERING · AI

Read article
01 / PRODUCT ENGINEERING

Your Dashboard Shows Data. But Can Users Actually Act on It?

Why useful dashboards need to go beyond displaying metrics and help people understand what deserves attention and what they can do next.

PRODUCT UX · DATA · DASHBOARDS

Read article
02 / PERFORMANCE

Your Website Scores Well. So Why Does It Still Feel Slow?

A frontend-performance perspective on the difference between good metrics and the experience users actually perceive.

PERFORMANCE · FRONTEND · UX

Read article
03 / SYSTEM DESIGN

Why Scheduling Is Harder Than It Looks — and How to Design It at Scale

A systems-oriented piece around what appears to be a simple product capability but becomes much harder once concurrency, scale and reliability enter the picture.

SYSTEM DESIGN · SCALE · ARCHITECTURE

Read article
More from the NotebookArchive & Technical Notes

Your AI Found a Relevant Chunk. But Is It Answering the Right Question?

RAG · RETRIEVAL · EVALUATION

→

Your AI Can Answer Questions. But Can Users Trust the Answer?

AI · TRUST · PRODUCT UX

→

Indexed But Not Ranking on Google? A Frontend SEO Diagnosis

SEO · FRONTEND · DISCOVERABILITY

→

Your Site Gets Traffic. So Why Aren't People Converting?

PRODUCT UX · CONVERSION · WEB

→
View all writing on Medium
05 / Experiments

Small product and AI explorations.

Side projects where I test ideas around AI-assisted workflows, content automation, summarization and structured product experiences.

InstAInews — AI News Assistant

Exploration

An AI-assisted news workflow focused on summarization, clustering and digest-style consumption of information.

  • · Topic-based summarization
  • · News clustering and digest generation
  • · Shareable, faster-to-consume content flow
Live Demo GitHub

ElevateCMS — AI Content & SEO Briefs

Exploration

A content workflow experiment around AI-assisted drafting, SEO brief generation and structured content support.

  • · SEO-oriented content brief generation
  • · Drafting workflow acceleration
  • · Consistent content structure and tone control
Live Demo GitHub
06 / Contact

Have something worth building, improving, or thinking through?

Whether it’s a product opportunity, a difficult engineering problem, a system that needs another pair of eyes, or simply an idea worth exploring — I’m always open to a thoughtful conversation.

Building Something

A product, workflow or idea that needs to move from ambiguity toward something real.

Improving Something

A product or system that works today but has become slow, difficult to evolve, unreliable or expensive.

Thinking Something Through

An architecture, product or engineering decision where another experienced perspective would help.

Open to interesting products, difficult engineering problems and thoughtful conversations.

Email → sav@savcraft.com
Start a conversationDirect message
Direct delivery to sav@savcraft.com