Core.Engineering

Lokesh Ram Chand.
Full-stack systems engineer.

I build production-grade software systems focused on reliability, performance, and real-world usage. My work centers on distributed systems, backend engineering, and products that scale beyond prototypes.

System Index
Proof

System Case Studies

Velar — AI-Assisted Finance App

A personal finance management platform that simplifies expense tracking using automation, natural language processing, and intuitive dashboards. Velar combines voice input, email parsing, and smart categorization to reduce manual data entry.

Hybrid NLP ML + Rules
Multi-Platform Flutter Client
Flutter (Dart) Node.js MongoDB RabbitMQ
Velar UI

MapLayer — Web Mapping Interface

A lightweight React-based geospatial visualization tool that renders GeoJSON datasets using OpenLayers. Designed to make spatial data exploration easy without heavy GIS software.

OpenLayers Map Rendering
Dockerized Deployment
React (TypeScript) OpenLayers GeoJSON
MapLayer interface

Fortyl — Secure Auth Platform

A modular authentication system built with Spring Boot supporting password login, JWT sessions, and TOTP-based multi-factor authentication. Designed to be clear, extendable, and suitable for applications needing stronger auth guarantees.

JWT + MFA Secure Login
Modular Backend Architecture
Spring Boot TOTP / MFA JWT Auth Java
Auth interface
Principles

Engineering over abstractions.

Software only becomes valuable when it works reliably for real users. I prioritize maintainability, debuggability, and system reliability over clever abstractions. I believe in boring, proven technology for critical systems and first-principles debugging.

I focus on the "critical path"—ensuring that core systems remain performant and predictable under load, while maintaining a clean, auditable codebase.

Systems_Logic
Spring Boot Node.js PostgreSQL Redis
Product_Logic
Next.js TypeScript React Vite
Runtime_Logic
AWS / GCP Docker Kubernetes