Full-Stack Systems Engineer · Available for select freelance work

From interface to infrastructure, I build systems that hold up.

I’m Tarun Gupta. I design and deliver complete products across frontend architecture, APIs, data, distributed workflows, and cloud delivery—with a focus on performance, reliability, and maintainable systems.

100K+users across delivered platforms
35%faster application load time
50%fewer production issues
4engineers led
Production case studies

Proof, not buzzwords.

Real engineering work presented through the problem, my contribution, system boundaries, and measured result.

RFQ intake
Validation
Underwriting
1,000+
fleet vehicles across distributed workflows

FleetOS — Underwriting Orchestration

Reframed a dense insurance process as a configuration-driven workflow spanning RFQ ingestion, role-based reviews, decline validation, dynamic pricing, document processing, and failure recovery.

01
My rolePlatform & frontend ownership
CollaborationEngineering, product, UW & QA
ResultReliable multi-stage delivery
React / AngularTypeScriptNode.jsWorkflow DesignAWS
−35%

Project Relay — Frontend Modernization

Moved a high-traffic application toward modular delivery using lazy loading, rendering analysis, state boundaries, and independently deployable frontend modules.

02
Load time35% lower
Bundle25% smaller
Delivery25% faster
Micro-frontendsCore Web VitalsPerformance
Gateway
Services
Data
500–1K+

Atlas — Reliability Platform

A microservices reference platform with gateway authentication, caching, asynchronous processing, retry isolation, structured validation, and containerized cloud delivery.

03
TypeIndependent build
FocusFailure isolation
LoadConcurrent requests
Node.jsDockerAWSDistributed Systems
60 FPS

Graph Lab — Algorithm Visualizer

An interactive system for exploring Dijkstra, A*, BFS, and DFS. The interesting constraint: preserve smooth rendering while algorithm state changes continuously across a large dynamic grid.

04
TypeIndependent build
FocusAlgorithms + rendering
ResultReal-time interaction
ReactGraph AlgorithmsData Structures
Independent AI lab · concept build

Signal — Incident Copilot.

A portfolio prototype—not presented as shipped company work—designed to demonstrate the AI-product depth I’m building next.

signal.inspect(incident_1842)
↳ correlate traces + deploys + errors
↳ retrieve relevant runbooks
hypothesis: cache stampede after deploy

From alert noise to an evidence-backed hypothesis

Signal ingests traces, deploy events, logs, and runbooks; retrieves relevant operational context; then produces a cited incident hypothesis with confidence, missing evidence, and reversible next actions.

AI systemRAG + structured outputs
EvaluationEvidence & citation quality
SafetyHuman approval for actions
LLM APIsRetrievalEvalsStreaming UXObservability
Why it matters

Built around trust, not a chatbot

The product idea focuses on verifiability: every claim points to evidence, uncertainty stays visible, and the model cannot execute production changes without explicit approval.

Human-in-the-loopCost / latencyFailure modes
Interactive capability map

One engineer, whole system.

Drag your pointer across the space. The stack rotates as one connected system rather than a flat list of logos.

SYSTEM
ReactTypeScriptNode.jsPostgreSQLAWSDockerAPIsLLM systems
Freelance & consulting

Bring me the hard part.

Best suited for product teams that need hands-on engineering ownership—not a hand-off between frontend, backend, and infrastructure specialists.

01 / BUILD

Product engineering

Production-ready web products from UX architecture and design systems through APIs, data models, authentication, and deployment.

02 / SCALE

Performance & modernization

Core Web Vitals, bundle analysis, rendering, caching, API latency, legacy migrations, and modular frontend or service architecture.

03 / UNBLOCK

Systems consulting

Architecture reviews, workflow design, API contracts, reliability patterns, technical roadmaps, and focused delivery for critical initiatives.

Project brief

Tell me what you’re trying to ship—or fix.

Complete the brief and the site will prepare a structured enquiry in your email client. No form data is stored on this website.

  • ✓ Response target: within two business days
  • ✓ NDA-friendly discovery available
  • ✓ India-based · remote collaboration
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About me

I work where product engineering meets systems thinking. Fast interfaces are only valuable when the architecture behind them is reliable.

4+ yrsEngineering experience
100K+Users served
−35%Load-time improvement
4Engineers led
01React, Next.js & Angular
02TypeScript & Node.js
03System & API Design
04AWS, Docker & CI/CD
05Performance Engineering
06Distributed Workflows
07Algorithms & Data Structures
08LLM APIs & AI Features
Experience

Tata AIG General InsuranceSoftware Engineer

  • Own enterprise insurance platform architecture across frontend, APIs, and validation.
  • Improved load time 35% and bundle size 25% through frontend modernization.
  • Built distributed fleet workflows supporting 1,000+ vehicles.

Ernst & Young LLPSenior Software Engineer (SDE 2)

  • Improved performance and Core Web Vitals for platforms serving 100K+ users.
  • Led four engineers and shortened review cycles by 40%.
  • Reduced production issues 50% through automated testing and CI/CD.

White Force OutsourcingFrontend Developer

  • Built full-stack web features and reliable API integrations.
  • Reduced technical debt 25% with reusable components and validation systems.
Full-time roles · freelance projects · technical consulting

Need a system that survives real users?

I’m interested in AI-native products, developer platforms, complex business systems, and teams or clients that value reliable execution.

Résumé ↓