Open to full-time roles & opportunities

Wuna Akhilesh

Full Stack Developer

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Cloud Engineer

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

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AWS Efficiency Gain
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Images Processed
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Monitoring Reduced
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CGPA Score
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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.

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

Selected Work

01
React.js JavaScript Jul–Aug 2025

SkyBook — Smart Flight Dashboard

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

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

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

30% Faster Decisions
25% Less Code Redundancy
Compare Smart Selection

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

Education & Certifications

B.Tech — Computer Science & Engineering

Anil Neerukonda Institute of Technology and Sciences

CGPA: 8.8 / 10

Complete Full Stack Web Development Bootcamp

Udemy

Certified — 2024
Let's build something great

Ready to
connect?

Actively looking for full-time opportunities. Open to freelance too.

Download My Resume