Architecting fluid interfaces & resilient AI systems.
I'm Anirudh Jangid. I build high-performance client applications with Next.js and TypeScript, paired with low-latency Go microservices and pre-execution LLM budget firewalls.
Anirudh Jangid
Frontend & Systems Engineer
Selected Systems
Production-grade systems: Go API firewalls, DAG curriculum generators, WebGL neural visualizers, and real-time collaboration engines.
TokenGuard
High-throughput financial firewall & proxy for LLM API spend
A reverse proxy that sits between production applications and AI model providers (OpenAI, Anthropic, OpenRouter) to intercept runaway costs, enforce per-tenant quotas, and prevent infinite agent recursion loops.
Autonomous agents and LLM applications frequently suffer from uncontrolled recursion, token exhaustion, and unpredictable cloud provider bills without pre-execution policy enforcement.
Engineered an ultra-fast proxy in Go that parses inbound prompts, runs offline token estimations with tiktoken, enforces real-time budget limits in Redis, and drops malicious or looped requests before hitting provider billing.
TokenGuard Live Request Inspection Engine
Client / Agent Request
Inbound HTTP /v1
TokenGuard Go Proxy
tiktoken parsing
Upstash Redis & Policy
Budget & loop check
Model Provider & Turso
OpenAI stream + Audit
Directed Acyclic Graph (DAG) Roadmap Synthesizer
Bento Engineering Lab
Real-time environmental telemetry, production latency benchmarks, and an interactive technical competency index.
Jaipur, India · Asia/Kolkata (IST)
12:00:00 AM
UTC +5:30 · Active Timezone
Go 1.24 / Turso edge
Next.js 16 / AI SDK
Verified Competency Index
Engineering Track
Production web features, modular design system implementations, and frontend architecture improvements.
Junior Frontend Developer
Full-TimeSpearheading frontend feature development, responsive UI implementation, and client state orchestration for modern web products.
Scope & Architectural Contributions:
- •Engineered modular, reusable UI components in React and Next.js, elevating product velocity and consistency.
- •Optimized Core Web Vitals, image pipelines, and layout rendering times across varied device form factors.
- •Collaborated cross-functionally with backend engineers to consume RESTful endpoints and handle edge states gracefully.
- •Implemented interactive micro-interactions and accessible layout flows following modern design systems.
Frontend Developer Intern
InternshipContributed to core UI redesigns, cross-browser compatibility fixes, and component refactoring across client projects.
Scope & Architectural Contributions:
- •Developed responsive landing pages and user dashboards conforming to Figma specifications.
- •Refactored legacy CSS into utility-first Tailwind classes, cutting stylesheet bundle weight.
- •Participated in sprint planning, code reviews, and peer pair-programming sessions.
GitHub Footprint
Developer Profile: @anirudh-xdev
Active codebases, open experiments & systems architecture
Financial firewall & reverse proxy for LLM API spend, budget quotas, and loop termination.
Autonomous learning curriculum planner generating DAG paths with AI SDK & React Flow.
High-dimensional neural concept mapping monorepo in 2D (D3.js) and 3D (Three.js WebGL).
Open source toolkit for building autonomous AI Site Reliability Engineering agents.
Personal portfolio engineered with Next.js 14, WebGL 3D wave canvas, and systems telemetry.
Modular e-commerce microservice backend with Docker, Prisma, and PostgreSQL.
Let's build something exceptional together.
I am actively exploring high-impact software engineering roles, challenging frontend architectural opportunities, and ambitious distributed systems products.