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Available for Full-Stack & AI Engineering Roles

Full-Stack Developer building AI-powered products across the stack.

From API design and backend systems to LLM orchestration and cloud infrastructure.

Specializing in AI-powered products end to end. Built and operate ResuPulse, an AI resume-analysis platform with a distributed multi-agent architecture.

Neeraj Vishwakarma
AWS EC2 • Production
Featured Work

Production Systems & Engineering Projects

Direct technical ownership across architecture, backend transactions, distributed queues, and production scale.

FLAGSHIP PRODUCT • 2026 -- PRESENT
resupulse.com

ResuPulse — Production AI Resume Analysis Platform

An AI-powered resume analysis platform combining document ingestion, seven deterministic scoring engines, and eight parallel specialist LLM agents.

Hybrid Scoring Paradigm
7 deterministic engines for hard layout & ATS facts cross-validated by 8 LLM diagnostic agents.
Asynchronous Queuing & SSE
BullMQ priority queues with concurrency lanes and Redis Pub/Sub for real-time progress streaming.
In-Memory PII Redaction
Structural pre-inference anonymization ensuring personal contact data never reaches LLM endpoints.
Next.jsTypeScriptGroqBullMQRedisMongoDBAWS EC2Cloudflare
ENGINEERING PROJECT • 2025
furnitur.online

Furniture E-Commerce Platform

Dual-application platform with decoupled customer storefront and seller/admin portals. Engineered with MongoDB multi-document ACID checkout transactions, bulkWrite inventory locking, cursor-based non-blocking Redis cache invalidation, and a catalog-grounded Groq AI assistant.

Atomic ACID Transactions
Guarantees zero overselling during concurrent user checkouts with conditional bulkWrite updates.
Non-Blocking Redis SCAN
Maintains storefront sync on admin changes without blocking Redis with heavy KEYS queries.
Idempotent Razorpay Webhooks
HMAC-SHA256 signature verification with idempotency keys preventing duplicate fulfillments.
Next.jsTypeScriptMongoDBRedisRazorpayGroqZodZustand
Technical Breadth

Core Engineering Competencies

Proven capability spanning user-facing applications, asynchronous distributed processing, and cloud deployment.

AI & LLM Orchestration

Building multi-agent inference pipelines, structured JSON schema outputs, tool calling, real-time SSE streaming, and structural pre-inference PII sanitization to protect user data.

Multi-Agent DAGStructured OutputsPrompt EngineeringPII RedactionSSE StreamingGroq

Distributed Backend Systems

Designing asynchronous queue workloads, concurrency limiters, token-bucket rate limiters, multi-document ACID transactions, and non-blocking in-memory caching.

Node.jsExpress.jsBullMQRedis Pub/SubMongoDB ACIDZod

Full-Stack Web Engineering

Crafting responsive, type-safe web applications using modern Server Component patterns, accessible component design systems, and resilient client-side state management.

Next.js (App Router)TypeScriptReactTailwind CSSZustandTanStack Query

Cloud & Production Reliability

Managing standalone builds, PM2 process clusters, edge proxies, DDOS mitigation, cryptographic HMAC webhook verification, and zero-downtime rolling deployments.

AWS EC2AWS ElastiCacheCloudflareDockerNginxCI/CD (GitHub Actions)
Direct Contact • Ready to Deploy

Looking for an engineer who builds real, resilient systems?

I am actively seeking Full-Stack and AI Engineering roles where I can contribute to high-impact products, distributed backends, and practical LLM systems.