- / Frontend Engineering
- / React & TypeScript
- / Scalable UI Architecture
I build web applications that bring clarity, speed, and polish to the products people use every day.
Software Engineer at Jodo
Clean. Scalable.
Shipped.
About Me
I don't just write components. I design systems that stay fast, readable, and easy to grow.
Built to scale,
made to feel right.
Frontend engineer with 2+ years of experience building scalable and production-grade web applications. I specialize in React and modern frontend ecosystems, focusing on performance, maintainability, and seamless user experiences. I have built end-to-end web solutions, developed reusable architectures, and contributed to complex integrations across platforms.
- Years Experience
- 2+
- Projects Delivered
- 10+
- Recognitions
- 3+
-
01
Scalable Architecture
Designing modular and reusable frontend systems that scale with product growth
-
02
Performance First
Optimizing applications for speed, efficiency, and smooth user interactions
-
03
Problem Solving
Breaking down complex problems into simple and effective solutions
-
04
Continuous Learning
Quickly adapting to new technologies and improving development practices
Experience
Where I've
shipped work.
Production apps, platform tooling and the occasional ML model, from fintech to enterprise.
-
01
Jodo
Software Engineer · Full-time
Leading frontend development for fintech products, building scalable React applications and contributing to the core platform.
- Built entire public-facing company website from scratch using React and modern CSS
- Developed Jodo Collect web platform for payment collections
- Created custom deep linking React hook for URL state management
- Implemented validation logic before API calls to reduce server load
- Collaborated with product and backend teams for seamless integrations
- Worked on React modules inside Flutter application
-
02
Techxonic Innovation
Frontend Intern · Internship
Gained hands-on experience in modern frontend development, building responsive interfaces and learning industry best practices.
- Built responsive UIs with React and Tailwind CSS
- Created dynamic email templates for marketing campaigns
- Worked on static website using Jekyll
- Learned modern development workflows and Git practices
- Contributed to component library development
-
03
Vivarrthana Technologies
Python & Machine Learning Intern · Internship
Developed Python scripts and machine learning models for data processing and analysis, gaining strong foundation in data science workflows.
- Developed Python scripts to automate data processing tasks, increasing efficiency by 30%
- Worked on data manipulation using Pandas and NumPy libraries
- Implemented machine learning algorithms: regression, classification, and clustering
- Built sentiment analysis model for customer feedback insights
- Presented ML project findings at internal knowledge-sharing session
-
04
BEML Limited
SAP Analyst Intern · Internship
Gained comprehensive understanding of enterprise resource planning and organizational processes through SAP system analysis.
- Conducted data validation and verification to maintain SAP data integrity
- Documented SAP configurations, troubleshooting steps, and best practices
- Shadowed cross-functional teams across tendering, procurement, and production
- Learned end-to-end organizational processes from project initiation to delivery
- Gained insights into quality assurance and customer feedback systems
Selected Work
Things I've
built.
Live products at Jodo, plus the college and personal projects that got me here.
/ At Jodo
-
01
Jodo Company Website (opens in a new tab)
Full production website built from scratch for Jodo fintech company. Features responsive design, smooth animations, and optimized performance.
-
02
Jodo Collect Microsite (opens in a new tab)
Microsite for the Jodo Collect app - a payment collections platform. Built with focus on conversion and user experience.
-
03
Jodo JS Utility Library
A modular TypeScript utility library used across both backend and frontend services at Jodo. Includes validation helpers, date formatters, and API utilities.
-
04
Deep Linking Hook
Custom React hook for handling URL query parameters, validating filters, and syncing state with the URL.
-
05
Help & Support Page
Built comprehensive Help & Support detail pages inside the Jodo Collect app, providing users with documentation and troubleshooting guides.
/ Personal & College
-
01
Credit Card Fraud Detection
ML system that detects fraudulent transactions in real-time by analyzing transaction patterns.
-
02
MED-Life App
Android medicine database application for pharmaceutical distributors to manage inventory.
-
03
Chauffeur Behaviour Recognition
CNN-based deep learning model for driver behavior recognition. Published in IJNRD Journal (2023).
-
04
Traffic Signal Management System
Developed a traffic signal management system as part of 5th semester coursework using C++. The project focused on optimizing traffic flow logic and handling real-time signal transitions.
-
05
SEA Cafe Management System
Built a database-driven cafe management system during DBMS lab using XAMPP. Implemented features for order management, inventory tracking, and customer handling with a web-based interface.
Toolkit
What I
work with.
A focused stack, sharpened on real production apps.
01 / Frontend
- React.js
- JavaScript
- TypeScript
- HTML5
- CSS3
- Tailwind CSS
- Material UI
02 / Tools
- Git
- GitHub
- VS Code
- Vite
- npm/yarn
03 / Concepts
- REST APIs
- Validation Logic
- Responsive Design
- Reusable Components
- State Management
Recognition
Awards &
milestones.
Hackathons, competitions and a published paper along the way.
-
01
Jodo Hackathon Winner
Winner of 38-hour corporate hackathon at Jodo. Awarded ₹11,000 for building a chatbot using frontend technologies.
₹11,000 Prize
-
02
Smart India Hackathon
Finalist in Smart India Hackathon, one of India's largest nationwide hackathons for students.
Finalist
-
03
Navadhara Project Competition
Runner-up in Navadhara Project Competition for innovative project demonstration.
Runner-up
-
04
Research Publication
Published research paper on Chauffeur Behaviour Recognition using CNNs in IJNRD Journal (2023).
IJNRD Journal
Get In Touch
Have a project in mind or want to talk about a role? I'd love to hear from you.
Let's build
something clear.
- Email rakshamurali31@gmail.com
- Phone +91 8105542523
- LinkedIn linkedin.com/in/raksha-murali
- GitHub github.com/raksha-m
- Based in Bangalore, India