From Algorithms to Infrastructure.
I am Om Ghante. Backend Engineer, Distributed Systems Builder, and AI Systems Developer. I build production-grade enterprise platforms, high-throughput microservices, and autonomous AI agents.
01. Featured Engineering
Selected Works & Systems
Cartera
Production-grade, event-driven financial operating system & microservices platform for multi-wallet deposit allocations, mandate delegation, and double-entry ledger bookkeeping.
MetaPilot
Production-grade multi-tenant WhatsApp marketing & CRM automation platform with bulk campaign broadcasting, real-time WebSocket inbox, and AI auto-reply chatbot.
Patch.ai
Autonomous software reliability & self-healing AI engine performing PyTorch GNN-driven Root Cause Analysis on runtime crash stack traces to generate safe patch proposals.
Paper Ecosystem
Multi-repo Agentic AI & LLM Inference platform featuring a central gRPC token-streaming inference gateway (paper-core), real-time voice agent runtime (paper-caller), multi-agent tools, and MCP integrations.
Reecall.ai
Neural Repository Memory Engine learning semantic file relationships in JS/TS codebases and retrieving engineering context via PyTorch GNN embeddings with zero hallucination.
Tide OS
Terminal Intelligence Development Engine (TIDE) — an AI coding harness for terminal developers shipped as a CLI and a bootable live Debian-based Linux ISO.
git-context (NPM Package)
Secure Node.js CLI tool (lexa) for managing multiple GitHub/GitLab accounts, credential-embedded cloning, per-folder identity configuration, and encrypted cloud profile sync.
02. Philosophy
How I Engineer Software
The real differentiator isn't just the tech stack. It's original engineering and personal design decisions behind every system.
Building asynchronous message queues with Redis and BullMQ to isolate heavy workloads and maintain sub-150ms API responsiveness.
Integrating Gemini APIs and LLM context trees into real-world business workflows like automated WhatsApp support bots.
Creating CLI tools like `git-context` (`lexa`) to streamline multi-account Git identity management and per-folder credential isolation.
Work Experience
Building scalable backend microservices, high-throughput message queues, and cloud infrastructure optimizations.
Leading engineering for enterprise-grade ERP, CRM, and HRMS applications serving startups and enterprises.
Delivered production web platforms and cross-platform mobile software for enterprise clients.
Worked on web application modules and front-end user interface components.
Education History
03. Collaboration
Ways to Work Together
Hire Me
Available for Full-time Software Engineering roles, Backend Systems Architecture, or AI Integration positions at high-growth engineering teams.
- Distributed Backend Systems (Node.js, Go, Python)
- Applied AI Agents & RAG Pipelines
- Scalable Microservices Architecture
Technical Services
Available for freelance projects, technical architecture consulting, custom ERP/CRM developments, and specialized AI/LLM integration solutions.
- Enterprise ERP/CRM & SaaS Development
- Meta Graph & WhatsApp API Automation
- System Design & Latency Audit
Live GitHub Engineering Articles
GitHub Repository Synced Writing
Amazon's SCOT and my CASCADE: Causal Adaptive Scored Conflict-Free ReconciliationGitHub Live Sync
How a single 4-step adaptive merge pipeline handles concurrent inventory deltas, multi-region partitions, and trust-scored conflict resolution across e-commerce, offline POS, and fintech ledger architectures.
Amazon's Outages and my CORTEX: Unifying 5 Signals to Prevent Retry StormsGitHub Live Sync
Why traditional exponential backoff and independent circuit breakers fail under pressure, and how computing a single Composite Pressure Score (CPS) stops cascading failure loops across microservices.
Amazon's SCOT and my RAPID: Sub-15ms Multi-Objective Constraint PropagationGitHub Live Sync
How to solve NP-hard combinatorial order routing, fulfillment allocation, and multi-resource distribution in sub-15ms without expensive commercial LP solvers.
Ready to collaborate on complex software challenges?
Open to engineering opportunities, technical system consultation, or discussing distributed backend design and AI integrations.