
Backend Engineer focused on building scalable, reliable, and high-performance systems. Passionate about APIs, databases, and clean architecture.
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Assessing your cultural and operational fit
MercurioX
May 22, 2026 – Present
Full-stack order management platform on the Northwind dataset. Spring Boot 3 microservices + Spring Cloud Gateway + Redis, PostgreSQL, JWT auth, and a TypeScript/Vite frontend — all orchestrated with Docker Compose.
View ProjectDisclosureIQ
May 9, 2026 – Present
A Spring Boot CLI pipeline that processes SEBI regulatory disclosure PDFs and classifies board director changes using a rule engine + LLM two-stage approach. Extracts structured entity data (director name, change type, effective date) into a JSON report across 49 documents with support for Groq, Anthropic, and Gemini.
View ProjectHopPay
April 28, 2026 – Present
HopPay - Offline UPI payments over a simulated Bluetooth mesh. Packets signed with RSA+AES, hopped between virtual devices, and settled by a cryptographic bridge node. Built with Spring Boot · Java 17 · H2 · Thymeleaf
View ProjectThreadly
April 21, 2026 – Present
A Spring Boot social platform where users and bots interact on posts and comments. Built in four phases — REST API foundation, Redis-backed bot guardrails, a batched notification engine, and full race-condition hardening with integration tests.
View Projectneetcode-submissions-627t54d1
April 13, 2026 – Present
My NeetCode.io problem submissions
View Projectshopsphere-microservices
April 10, 2026 – Present
Microservices-first e-commerce backend built with Java 17, Spring Boot, Spring Cloud Gateway, Eureka, Config Server, and event-driven integration patterns.
View Projecttaskmanager_spring_java_scalerProject
April 8, 2026 – Present
taskmanager_spring_java_scalerProject — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are predominantly focused on Java and Spring Boot, indicating a strong preference and expertise in this ecosystem. While there is some exposure to TypeScript/JavaScript for frontends and a project involving LLMs, the overall diversity of technologies and domains outside of Java backend development is limited. This might indicate a strong fit for Java-centric roles but less so for roles requiring broader technology stacks or specific data science expertise beyond the LLM integration shown.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a strong technical focus and ability to complete complex personal projects.