Outstanding Software Engineering Graduate specializing in Computer Science, with practical experience in independent and team projects. Fast learner with analytical and creative thinking, strong self-learning ability, a passion for knowledge, and strong ability to handle and resolve complex challenges.
Query - A multi-tenant, dynamic management system for entities, events, workflows, and real-time operations.

Mentored by: Kaltura
Backend Bootcamp 2025 (Backend)
Responsibilities:
Designed ana set-up a read-only Read Model in C# and PostgreSQL (CQRS) database with projection schemas for optimized query performance.
Exposing Query API (REST + GraphQL) via NestJS service. Done research on automatic table segregation for speed improvement.
Developed an E2E Dynamic Query Builder Engine (Registry → Planner → Builder → Executor) for safe in the C# project of the ReadModel, parameterized SQL generation preventing SQL injection. Participated in design planning – and in performance measurement. All development was done on Dockers using Dockerfiles and DockerCompose.
Reasearch: Tree-Based Architecture (Composite / AST); Powerful but operationally expensive → Switched to Registry → Planner → Builder, a cleaner, predictable, validated pipeline ,and System-specific.
Implementing the UI and integrating with the gateway for my task of dynamic-query-engine and also integrating with Kafka with the team responsible for the entities in the system. Which required a comprehensive system understanding...

3–7/2025: Internship (Extra Tech) – ETTIME Remote Work Tracker
Developed an end-to-end remote workforce management system similar to DeskTime, including computer-activity monitoring, productivity analytics, real-time alerts, and interactive dashboards, using Python and SQL Server, with full data pipeline and system architecture.
3/2025: End-to-End Classroom Management System
Developed a full student-management platform using C#, SQL Server, and React, including attendance, grades, and student data modules.
Implemented an advanced student-placement optimization engine using Google OR-Tools with custom rules and constraints.
Designed a modular, interface-driven architecture enabling easy extensibility and future feature expansion.
Working Proficiency