SACHIKANTA RAUL

Gurgaon.

About

Work

Aays Advisory Private Limited
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Full Stack Developer

Highlights

Developed a data-driven reporting website for Mars Inc.'s internal Rapid Read tool, used by 200+ employees, reducing data load time by 30%.

Built Findight tool for financial data analysis, serving 5+ departments with around 300 daily users, enhancing data accessibility and security.

Tech Stacks Used: Nextjs, Tailwind-CSS, React, MaterialUI, Redux-Toolkit, Python, Azure

ExpenseTracker.money
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Full Stack Developer

Highlights

A comprehensive expense tracking platform designed to empower users to manage their finances efficiently by 70%

Effortlessly track expenses and receive budget alerts by seamlessly integrating multiple payment sources like UPI, cards, and bank accounts, enhancing user experience by 60%

Tech Stacks Used: ReactNative,TypeScript,Expo,Supabase,0Auth,Expo-Router,ReduxToolkit,Nextjs

KansoCloud
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Full Stack Developer

Highlights

Implemented Redux Toolkit to streamline state management, resulting in a 25% decrease in app crashes and 40% improvement in load times, enhancing user experience and retention rates significantly.

Implemented Next.js, Tailwind CSS, and Material UI for sleek user interfaces, driving a 30% boost in user engagement and slashing bounce rates by 20%.

Implemented RTK Query for streamlined data fetching and caching, resulting in a 50% reduction in network requests and a 40% improvement in application performance

Developed and executed automated test scripts with Katalon Studio, ensuring software applications' quality and reliability while reducing manual testing efforts by 60%

Conducted regular regression testing to validate the stability of software builds after code changes while minimizing the risk of regressions by 80%

Efficiently automated 500 test cases, leading to a 40% decrease in testing duration and accelerated release cycles for enhanced productivity and time-to-market.

Tech Stacks Used: Nextjs, Tailwind-CSS, React, MaterialUI, Redux-Toolkit, AWS

Education

Indira Gandhi Institute of Technology (IGIT), Sarang

B.Tech

Computer Science and Engineering

Grade: 8.22

Projects

SCALABLE CHAT APP

Summary

Engineered a high-volume chat application for real-time communication resulting in a 50% reduction in message latency Utilized Redis for efficient data caching and session management, reducing 60% database load and improving by 50% response times. Incorporated Kafka for distributed messaging, enabling fault-tolerant by 50% asynchronous communication between chat servers and clients. Implemented Socket.IO for real-time bidirectional communication, This integration led to a 40% reduction in message latency,.

NETFLIX CLONE

Summary

Create a Netflix Clone UI where the user has to sign in or sign up on the website to see all the content of the website.

Skills

Data Structure and Algorithms (DSA)
Software Engineering
Database Management System (DBMS)
Node js
AI/ML
Express.js
JavaScript
Golang
Rust
MongoDB
React
Nextjs
Vibe Coding
Java