DEPLOYING TO MAP

Jai Raj Singh

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MATCH START — Deploy to mission map

Jai RajSingh

Full Stack Backend Engineer

Building production distributed backends, real-time platforms, microservices, and GenAI systems at scale.

TACTICAL HUD

status: DEPLOYED

operator: NUVO AI · NUPAT stack

loadout: Node.js · Microservices · K8s · FastAPI

Full stack backend engineer — distributed systems, real-time collaboration, and production GenAI.

OPERATOR FILE

Production Full Stack Backend

Full Stack Backend Engineer with 3+ years shipping production distributed systems, real-time APIs, microservice architectures, DevOps/Kubernetes deployments, and GenAI/RAG platforms — not just AI demos, but end-to-end backend ownership from database to deployment.

  • MCA at Lovely Professional University (2024–Present)
  • Building NUPAT Live at NUVO AI — patent platform, AI pipeline, and real-time collaboration
  • Production experience across Node.js microservices, Socket.IO/SSE, FastAPI, LangGraph, and K8s
  • Led and mentored a 15-member engineering intern team at Superceuticals

MISSION ROUTE — DROP → SCAN → LOCK → FILTER → COMMAND → EXTRACT

AI Mission Route

Production AI pipeline built at NUVO AI · NUPAT — from document ingest through agentic reasoning to scaled deployment. The 3D scroll map mirrors these checkpoints.

CP_01 · DROP

Ingest

PDF + OCR fallback

PyMuPDF / Tesseract

Async document ingestion with coordinate-aware extraction, OCR fallback, and metadata preservation for evidence traceability.

CP_02 · SCAN

Index

Chunking + embeddings

PostgreSQL / pgvector

Context-aware chunking, embedding generation, and vector indexing while preserving page geometry and source coordinates.

CP_03 · LOCK

Retrieve

Dense + BM25 hybrid

Hybrid search

Multi-stage retrieval combining dense embeddings, keyword/BM25 scoring, and pgvector similarity search.

CP_04 · FILTER

Rerank

Cross-Encoder

Evidence prioritization

Cross-Encoder reranking to improve retrieval precision, evidence relevance, and LLM grounding.

CP_05 · COMMAND

Reason

LangGraph agents

Guardrails + citations

Agentic workflows with planner, search, evidence, contradiction, citation, judge, and reviewer agents with HITL approval.

CP_06 · EXTRACT

Scale

Production systems

Kafka / Redis / K8s

Distributed workloads with Kafka workers, Redis caching, Docker/Kubernetes, Nginx, and observability.

COMBAT LOG

Mission Combat Log

Software Developer I – AI/Backend

NUVO AI, Meril Group

Apr 2026 – Present

  • Architected NUPAT Live — multi-module patent intelligence platform decomposed into Node.js microservices, shared @nupat/* packages, and BFF + Express backend
  • Built production Agentic AI stack: async PDF/OCR ingestion, pgvector indexing, hybrid RAG, Cross-Encoder reranking, and LangGraph multi-agent workflows
  • Implemented real-time team collaboration — live cursors, Socket.IO presence, SSE notifications, project RBAC, and Redis-backed session state
  • Productionized the full stack with Docker, Kubernetes, Nginx, Kafka workers, Jenkins CI/CD, and observability across AI and backend services

Backend & Full Stack Engineer

Superceuticals Pvt. Ltd.

Aug 2023 – Mar 2026

  • Scaled distributed healthcare backend to 10,000+ DAU with 99.9% uptime via Redis caching, API optimization, and event-driven architecture
  • Built production GenAI/RAG systems for grounded prescription and diagnostic explanations with LangChain, ChromaDB, and safety guardrails
  • Architected secure real-time APIs with Socket.IO, JWT, OAuth 2.0, and RBAC for live queues, appointments, and multi-role workflows
  • Deployed backend and frontend services on AWS EC2 with Docker, Nginx, and PM2 for high availability and zero-downtime releases
  • Led and mentored a 15-member engineering intern team across backend, frontend, and AI integration

LOADOUT

Operator Loadout

Backend & Distributed Systems

Node.jsExpress.jsFastAPIMicroservicesREST APIsKafkaRedisEvent-Driven

Real-Time & Security

Socket.IOSSEJWTOAuth 2.0RBACAES-256-GCMBullMQ

Cloud & DevOps

DockerKubernetesNginxAWS EC2CI/CDJenkinsPM2Linux

Databases

PostgreSQLMongoDBCassandrapgvectorChromaDBMinIO/S3

GenAI & ML

RAGLangGraphLangChainEmbeddingsCross-EncodersLLM Guardrails

Full-Stack Frontend

ReactNext.jsTypeScriptRedux ToolkitZustandTailwind CSS

OPERATIONS

Field Operations

Full stack backend work shipped in production, plus personal projects from jairaj28.github.io.

DEPLOYED SYSTEMS

Production Projects

NUVO AI · NUPAT + Superceuticals production work — scroll horizontally →

prod_01 · NUVO AI · Meril Group

NUPAT Live — Patent Intelligence Platform

Production multi-module patent platform (Search, Workspace, FTO, Drafting, Novelty) built as Next.js BFF + Express backend + Node microservices. Decomposed into search-service, workspace-service, fto-service, authorization-service, and cursor-service with shared @nupat/* packages for Postgres, Redis, Cassandra, and MinIO.

Next.jsExpressMicroservicesPostgreSQLRedisSocket.IO

prod_02 · NUVO AI · NUPAT

Real-Time Team Collaboration (Live Cursor & Presence)

Full workspace collaboration on NUPAT: project-scoped RBAC, member invitations, live cursor broadcasting via cursor-service, Socket.IO presence rooms, Redis session state, SSE notification streams, and activity logging to PostgreSQL.

Socket.IOSSELive CursorRBACRedisPostgreSQL

prod_03 · NUVO AI · Meril Group

Agentic AI & Hybrid RAG Pipeline

End-to-end AI stack for document intelligence: PyMuPDF/Tesseract ingestion, pgvector indexing, dense + BM25 hybrid retrieval, Cross-Encoder reranking, LangGraph agent orchestration with HITL approval, and Kafka-backed async workers.

FastAPILangGraphpgvectorRAGKafkaCross-Encoder

prod_04 · NUVO AI · NUPAT

Kubernetes & DevOps Production Stack

Containerized NUPAT frontend, backend, and Nginx reverse-proxy with Docker Compose for dev/prod parity. K8s deployments, services, configmaps, secrets; Jenkins CI for image build/push; Nginx routing for microservices and AI service proxies.

DockerKubernetesNginxJenkinsCI/CDAWS

prod_05 · Superceuticals

Healthcare Distributed Backend & GenAI

Event-driven healthcare platform at 10K+ DAU: live queues, appointments, consultations, and notifications over Socket.IO + Redis. LangChain/RAG prescription and diagnostic explanations with safety guardrails and JWT/OAuth RBAC APIs.

Node.jsMongoDBRedisSocket.IOLangChainFastAPI

PERSONAL OPS

Personal Projects

From jairaj28.github.io

personal_01

Bientriq — E-Commerce SPA

Full-stack fashion e-commerce app with React, Chakra UI, and Render-hosted API integration.

ReactChakra UIREST API

personal_02

Fashion Point

Responsive fashion storefront built with HTML, CSS, and JavaScript — early full-stack UI work.

HTMLCSSJavaScript

personal_03

Meals — Food Ordering UI

Interactive meals ordering interface with vanilla JavaScript and responsive layout.

HTMLCSSJavaScript

personal_04

Freshly Clone

Grocery delivery landing-page clone showcasing HTML/CSS/JS fundamentals and component layout.

HTMLCSSJavaScript

personal_05

BookStore API & Frontend

CRUD bookstore application with separate Node/MongoDB API and React frontend.

Node.jsMongoDBReact

personal_06

E-T-L System

ETL pipeline web app deployed on Vercel for data extraction, transform, and load workflows.

Node.jsETLVercel

MATCH STATS

Match Statistics

0

Daily Active Users

0

Platform Uptime

0

Performance Improvement

FIELD MANUAL

Reliability

Retries, DLQs, idempotency, schema validation, automated tests, logging, and failure-aware workflows.

Scalability

Async workers, Kafka, Redis caching, microservice decomposition, batching, and concurrency control.

Security

JWT/OAuth 2.0, RBAC, AES-256-GCM, rate limiting, secure API boundaries, and access-aware workflows.

Real-Time UX

Socket.IO rooms, SSE notification streams, live presence, cursor sync, and event-driven state.

SQUAD COMMS

Open Comms

Open to opportunities where I can contribute, learn, and grow in Backend & AI engineering.

email: jairajsingh28july@gmail.com

phone: 6291508824

github: @jairaj28

linkedin: /in/jai-raj-singh-1491

© 2026 Jai Raj Singh. Built with Next.js, Three.js & GSAP.