Open to full-time roles & opportunities

Wuna Akhilesh

Full Stack Developer

Cloud Engineer

React · Node.js · AWS · MongoDB
Building production-grade systems with real, measurable impact.

View My Work Download Resume

AWS Efficiency Gain

Images Processed

Monitoring Reduced

0/100

CGPA Score

Scroll

About

Building scalable
apps with real
measurable impact.

I'm a Computer Science graduate (B.Tech, CGPA 8.8/10) from Anil Neerukonda Institute of Technology and Sciences, specialising in full-stack development and cloud engineering.

I've shipped systems that work at scale — an AWS Rekognition pipeline that processed 1,000+ images with 35% better efficiency, a Lambda alert system that cut monitoring effort by 60%, and a phishing extension with 30% accuracy improvement. Every project ships with measurable results.

linkedin.com/in/wuna-akhilesh github.com/akhilesh2209 wunaakhilesh2209@gmail.com

Skills

Tech Stack

Programming

JavaScript Python

Frontend

HTML5 CSS3 React.js

Backend

Node.js Express.js Flask REST APIs

Database & Cloud

MongoDB AWS Lambda SNS Rekognition

Tools

Git GitHub

Projects

Selected Work

React.js JavaScript Jul–Aug 2025

SkyBook — Smart Flight Dashboard

Problem

Flight booking interfaces are cluttered and force users to manually compare options, increasing decision time.

→

Solution

Designed a smart dashboard with real-time filtering, comparison system, and intelligent recommendations.

→

Impact

Reduced decision time by 30% and code redundancy by 25%, improving usability and performance.

30% Faster Decisions

25% Less Code Redundancy

Compare Smart Selection

Live Demo ↗ View on GitHub

↗

Signature Project

Node.js MongoDB Jan–Apr 2024

Airline Reservation System

Problem

Existing reservation systems lacked a performant API layer and scalable schema for concurrent booking workflows.

→

Solution

Built a full-stack system with dual Node.js + Flask backends, complete auth, validated REST APIs, and MongoDB schemas.

→

Impact

Benchmarked backend performance comparison, giving engineers data-driven insight to select the optimal stack.

DualNode + Flask

FullAuth + Booking

RESTValidated APIs

Live Demo ↗ View on GitHub

↗

Experience

Internships

May – Jul 2025

Inversion Consultancy LLP

Cloud Engineering

Cloud Engineering Intern

Engineered an automated image labeling pipeline using AWS Rekognition, processing 1,000+ images with 35% improved classification efficiency
Built a real-time stock alert system using AWS Lambda + Amazon SNS, cutting manual monitoring effort by 60%
Designed event-driven architecture for scalable, low-latency trigger processing across multiple data sources

1,000+ images processed

35% efficiency gain

60% monitoring cut

May – Jul 2024

Blackbucks Engineers

Cybersecurity

Cybersecurity Intern

Implemented symmetric encryption in Python, securing 100+ data transactions and improving protection reliability
Built a browser extension for real-time phishing URL detection using rule-based filtering and pattern recognition
Enhanced detection accuracy by 30% through algorithmic optimisation of filtering logic

100+ tx secured

30% accuracy boost

Real-time detection

Background