Product Engineer based in Bengaluru

Kamboji Akhilesh

I build high-performance full-stack systems and AI-powered platforms.

Focused on microservices architecture, performance optimization, and AI-driven automation systems. Recently reduced application load time by 95% and built AI-powered interview tools.

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Experience

Product Engineer

Current

CBREX

June 2024 – Present

•Built AI interview automation, improving screening by 70%+.
•Achieved 95% load time reduction through performance optimization.
•Migrated legacy dashboards to microservices.

ReactNext.jsMySQLSpring BootFastAPIAWSWebSocket

Software Development Engineer Intern

Surya Software Systems

Sept 2023 – May 2024

•Built survey web app (React + Kotlin).
•Implemented state management with MobX.
•Designed and tested REST APIs.

ReactKotlinPostgreSQLMST(Mobx)AWS

Full Stack Development Intern

National Aerospace Laboratories

Aug 2022 – Sept 2022

•Developed Angular + Spring Boot application.
•Optimized Oracle DB queries.
•Delivered features in agile team.

AngularSpring BootOracle DB

Projects

Atlas

In Progress

RAG-based system that enables natural language querying of codebase and database schemas to help developers and non-technical stakeholders understand system behavior.

✓Implemented code-aware retrieval pipeline for explaining API flows and database structure.
✓Designed semantic search layer over repository and schema files.
✓Architected scalable backend service using FastAPI for LLM-powered system querying.

FastAPIPythonNext.jsGroqRAGLLMs

Screenshot Cleaner

An Android utility app that automatically deletes temporary screenshots using user-defined timers, reducing gallery clutter and manual cleanup effort.

✓Developed Android background service to monitor and schedule timed screenshot deletion.
✓Implemented configurable deletion workflows with notification-based controls.
✓Designed recoverable deletion system with 7-day restore window.

KotlinAndroidBackground ServiceNotificationsRestoration System

GitHub →Live Demo →

Helping Hand (Hackathon)

A full-stack mental health tracking application built to help students monitor emotional well-being using mood analysis and personalized insights.

✓Built Flutter + Flask application with real-time mood tracking and journaling features.
✓Implemented Python-based mood recognition logic for personalized emotional insights.
✓Deployed on Google Cloud and selected Top 10 in South India at a national-level hackathon.

FlutterDartFlaskPythonGCPMood Analysis

GitHub →Live Demo →