rpm.
Ramprasad Mondal
Open to Senior AI roles

Hey, I’m RPM 👋

RAMPRASAD MONDAL · AI + BACKEND ENGINEER · UAE

AI Engineer with a backend engineer’s discipline, 6+ years shipping systems, now building the GenAI and agentic AI platforms of tomorrow.

Work

OpenInnovation AI · AI Engineer

Dec 2025 - Jul 2026 · Abu Dhabi, UAE· 8m

Multi-agent systems · GraphRAG · air-gapped enterprise LLM deployment

  • Architected a multi-tenant, multi-agent AI platform where each agent maintains an isolated Neo4j knowledge graph and GraphRAG retrieval pipeline, with dynamic query routing across agents, a knowledge-map visualisation, and a real-time active-threats dashboard.
  • Built the knowledge ingestion pipeline - semantic chunking, entity extraction, and hybrid retrieval (dense vector + graph traversal) - improving response quality 50%+ and processing efficiency 50–60%, on async FastAPI + MinIO for memory-efficient document handling.
  • Engineered multi-agent orchestration with structured meeting rooms for collaborative agent reasoning, plus a parallel AI report generation pipeline synthesising graph context and LLM output into stakeholder-ready deliverables.
  • Delivered full English–Arabic bilingual support - a backoffice service for static translation and LLM-powered dynamic translation across agent responses, reports, and documents, with RTL throughout.
  • Built a multi-modal document extraction microservice for scanned PDFs, Arabic handwritten notes, and images - high-accuracy ingestion across heterogeneous enterprise document types.
  • Deployed production LLMs up to 35B parameters (including MoE) with vLLM on GPU Kubernetes, using tensor parallelism and continuous batching for enterprise-grade inference.
  • Led air-gapped deployment onto NVIDIA DGX Spark, ASUS GX10, and H200 servers - zero cloud dependency, fully offline Docker installs - working directly with UAE government ministries and private-sector clients on requirements, on-site delivery, and support.
  • Contributed to a TypeScript API on Hono/Bun with Zod validation and auto-generated OpenAPI docs, inside a Keycloak JWT auth + RBAC structure.
PythonNeo4jGraphRAGKAGLangGraphLangchainvLLMKubernetesFastAPIQdrantMinIOKeycloak

WealthyBuildwealth Technologies · Senior Software Engineer II

Jul 2020 - Nov 2025 · Abu Dhabi, UAE· 5y 5m

Fintech backend · multilingual RAG · partner & revenue platforms

  1. Software EngineerSoftware EngineerJul 2020 - Oct 2022 · 2y 4mBengaluru, India
  2. Senior SWE ISenior Software Engineer INov 2022 - Jul 2024 · 1y 9mAbu Dhabi, UAE
  3. Senior SWE IISenior Software Engineer IIAug 2024 - Nov 2025 · 1y 4mAbu Dhabi, UAE
  • Built a multilingual conversational AI assistant with retrieval-augmented responses, intent classification, and entity extraction across 8+ Indian languages - partners could discover products, place orders, and get personalised recommendations.
  • Developed a RAG-based Q&A service using embeddings and vector retrieval, letting users query uploaded documents and receive grounded, contextual answers.
  • Led a cross-functional team of 6 delivering a production partner-payout system across engineering, product, finance, and operations.
  • Scaled a Python/Django backend on AWS ECS with Redis caching and Celery/SQS processing to peak traffic of ~10K req/min, serving 250K+ registered and 20K+ daily active partners.
  • Re-engineered the daily revenue pipeline - async NAV/commission/unit retrieval, then Dask + Pandas computation on a dedicated worker - cutting 2M transaction records from 10–12 hours to 3–4 minutes (99%+ faster).
  • Automated invoice generation with Celery workers, Airflow orchestration, and bulk DB operations - 4 hours → 15 minutes (94% faster) for 10K+ monthly partner invoices with GST, TDS, ARN and PAN compliance.
  • Built a secure authentication gateway - OAuth, OTP, Redis-backed token and session management, authorization-code exchange, request-signature validation - handling 50K+ authenticated requests daily.
  • Built payment and payout infrastructure on Cashfree and Razorpay with batch transfers, partial payments, retry handling, and status reconciliation.
  • Implemented centralised observability - request-ID tracing, structured logging, ClickHouse, Grafana, and automated Slack alerts - accelerating root-cause analysis across production services.
  • Designed ETL pipelines for CAMS/KARVY reconciliation, improving revenue accuracy 15%.
Best Employee Award 2025Best Team Award 2025
PythonDjangoFastAPIAWSGCPCeleryAirflowRedisPostgreSQLMongoDBClickHouseGrafanagRPC
M

MountBlue Technologies · Software Engineer Intern

Feb 2020 - Jun 2020 · Bengaluru, India· 5m

Full-stack web apps (internship)

  • Built a COVID Q&A platform with user auth, comments, and real-time dashboards.
  • Shipped an e-commerce platform for a local shop, end to end.
JavaScriptPythonNodeReact

Tech Stack

Languages
PythonJavaScript
AI & agents
LLM ApplicationsAgentic AIRAG / GraphRAGDeepAgentsLangGraphLangChainKnowledge Graphs
Backend
FastAPIDjangoCeleryREST / gRPC
Data
PostgreSQLRedisNeo4jQdrantClickHouse
Cloud & infra
AWSDockerKubernetesvLLMAir-gapped Deployment
Architecture
Multi-Agent SystemsMicroservicesEvent-DrivenDistributed Systems

Recent projectsmore →

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🎮 Tic-tac-toe · you vs my minimax bot

You're X and you open. Good luck, it plays perfect minimax.
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⌨️ Typing test · click and type

the quick brown fox jumps over the lazy dog
WPM 0ACC 100%

The AI Lab 🧪full lab →

✏️ Draw a digit · a real neural classifier guesses it

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logistic regression · trained on 1,797 handwritten digits · 4.7KB of weights, no server

🐍 Edit my Python · runs live in your browser

real CPython via Pyodide (WebAssembly) · loads on first run, then instant

Latest updatesprojects →

projectAgentic Intent WorkflowAug 13, 2026postDeploying Next.js to a free VM: local to live, step by stepAug 13, 2026

Let’s build something

Open to Senior AI Engineer roles (also open to backend). Fastest way to reach me is email.

All systems nominal© 2026 Ramprasad Mondal