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Curriculum Vitae

Synchronized with master resume • Optimized for 1-page A4 PDF output

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Neeraj Vishwakarma

Full-Stack Developer
Phone: +91 8287168307|neerajvishwakarma726689@gmail.com|LinkedIn|GitHub|LeetCode

Professional Summary

Full-Stack Developer specializing in AI-powered products end to end. Most recently built and scaled ResuPulse, an AI resume-analysis platform with a distributed multi-agent architecture. Engineers across the stack, from API and backend systems to LLM orchestration and cloud infrastructure.

Experience

Full-Stack Developer, ResuPulse
2026 -- Present
Next.js, TypeScript, Groq, BullMQ, Redis, MongoDB, AWS, Cloudflareresupulse.com
  • Architected and built ResuPulse end to end, combining seven deterministic analysis engines with eight parallel LLM agents into a production AI analysis platform.
  • Scaled the platform to 13K+ registered users and 50K+ monthly visitors, handling 1M+ requests on its peak day.
  • Designed an asynchronous multi-agent inference pipeline using BullMQ priority queues, Redis Pub/Sub for real-time progress streaming, and pre-inference PII redaction.
  • Built an unstructured document ingestion pipeline for complex PDF layouts, combining spatial geometry analysis, table detection, and OCR fallback.

Projects

Furniture E-Commerce Platform
2025
Next.js, TypeScript, MongoDB, Redis, Razorpay, Groq, Zodfurnitur.online
  • Built a dual-application e-commerce platform with separate customer and seller/admin portals, using domain services, repository-based data access, and validated API boundaries.
  • Implemented atomic checkout transactions using MongoDB multi-document ACID sessions, bulkWrite stock updates, and idempotent Razorpay webhook processing to prevent duplicate fulfillment.
  • Developed a Redis caching layer with cursor-based, non-blocking SCAN invalidation, keeping seller/admin updates synchronized with the customer storefront.
  • Designed product discovery and customer interaction features using natural-language search, fuzzy matching, autocomplete, and a catalog-grounded AI shopping assistant.

Technical Skills

Languages: TypeScript, JavaScript, Python
Frontend: Next.js, React, Tailwind CSS, Zustand, TanStack Query
Backend: Node.js, Express.js, REST APIs, BullMQ, Zod, Razorpay
Databases & Caching: MongoDB, Redis, Mongoose
AI & LLM: Groq, Multi-Agent Orchestration, Tool Calling, SSE Streaming, Prompt Engineering
Cloud & DevOps: AWS (EC2, S3, ElastiCache), Azure, Cloudflare, Docker, Nginx, Load Balancing, CI/CD (GitHub Actions)
Security: OAuth 2.0, JWT, RBAC, bcrypt, CSRF Protection, HMAC-SHA256
Testing & Tools: Vitest, Postman, Git

Education

Bachelor of Computer Applications (BCA)
IPEM College, Ghaziabad, Uttar Pradesh
2023 -- 2026

Achievements

  • Secured 1st place in a college coding contest at IPEM College.