Backend engineer — Node.js, TypeScript, MongoDB, AWS. I own the backend of GlamGuider, a consumer platform serving 90K+ users across web, Android & iOS: API design, data modeling, caching, Docker/CI-CD, and the infrastructure it all runs on.
{
"name": "Mahesh Konar",
"role": "Backend Engineer",
"experience_years": 2.5,
"location": "Mumbai, IN",
"stack": ["node", "typescript",
"mongodb", "redis", "aws"],
"currently": "backend @ GlamGuider",
"open_to_roles": true
}
Numbers from the system I run — queried from the production database, Nginx logs & CloudFront reports, Aug 2026. Not estimates.
Systems I designed and shipped — the architecture decisions, not just the endpoints.
80K+ user wallets on a transaction-ledger design with country-specific reward rules. Every grant is recorded immutably — balances are derived, never trusted — so reward computation stays auditable as the platform expands. Includes a streak & milestone engine.
Migrated a single-server setup to Dockerized services on VPS + MongoDB Atlas behind Nginx, with GitHub Actions CI/CD for zero-downtime deploys. Media moved to S3 + CloudFront: 1.3M+ CDN requests, 87% cache-hit, 91% of media bytes offloaded from origin.
Designed and shipped a queue-driven pipeline for ingredient-level product intelligence — comparing skincare products by safety, skin-type suitability, and multi-platform pricing. Heavy offline ingestion is fully separated from fast online serving. I authored the HLD and the product roadmap behind it.
Current work: a data-driven authorization framework for the admin/CRM platform — permissions are configuration, not code. A module → page → section → capability hierarchy with department-to-role mapping, deny-by-default backend middleware, approval workflows with a draft/publish lifecycle, and audit logging. Full HLD + LLD authored.
A self-serve reporting layer over MongoDB, built end-to-end: multi-tenant org/role access control and AES-256-GCM encryption of connection credentials at rest. Next.js, Express/TypeScript, PostgreSQL.
13.7K+ reviews processed through a structured approval pipeline with RBAC, audit logs, and bulk workflows — trust and safety for user content without engineering in the loop.
Affiliate tracking with conversion attribution and an event pipeline feeding behavioral analytics — monetization runs on data, not guesswork. Plus an admin-driven content & drag-and-drop banner system: UI updates with zero code deployments.
Highlighted = used daily in production. Everything here has shipped, not just been tutorialed.
Also worked with: Java · Python · C#/.NET · React
{
"daily_drivers": [
"node", "typescript", "express",
"mongodb", "redis", "docker",
"nginx", "github-actions", "aws"
],
"proven_in_production": {
"api_throughput": "70K req/day",
"db_scale": "60 collections · 139 indexes",
"cdn_offload": "91% of media bytes",
"deploys": "zero-downtime via CI/CD"
},
"designs_systems": true,
"writes_hld_docs": true
// numbers queried Aug 2026
}
Open to backend engineering roles and serious freelance work. The fastest route is email — I reply within a day.