Avinash Chaurasia

SDE - Full Stack Engineer

Delhi 2+ yrs exp 85 · Excellent

About

SDE - Full Stack Engineer with 2+ years shipping production Next.js/Node.js applications, specializing in performance optimization (64% load-time reduction) and AI-integrated tooling (LangChain RAG pipelines). Comfortable owning features end-to-end, from UI to database to deployment.

Skills & Expertise (18)

Rest API Intermediate

7.0/10

Years Exp

SQL Intermediate

6.5/10

Years Exp

TailwindCSS Intermediate

6.5/10

Years Exp

MySql Intermediate

6.5/10

Years Exp

Postgresql Intermediate

6.5/10

Years Exp

REDUX Intermediate

6.0/10

Years Exp

Material UI Intermediate

6.0/10

Years Exp

DBMS Intermediate

6.0/10

Years Exp

OOP Intermediate

6.0/10

Years Exp

Data Structures & Algorithms Intermediate

6.0/10

Years Exp

GitHub Actions Intermediate

6.0/10

Years Exp

AWS Intermediate

6.0/10

Years Exp

Java Intermediate

5.5/10

Years Exp

Redis Intermediate

5.5/10

Years Exp

BullMQ Intermediate

5.5/10

Years Exp

RAG Pipelines Intermediate

5.0/10

Years Exp

LangChain Intermediate

5.0/10

Years Exp

PGvector Intermediate

5.0/10

Years Exp

Work Experience

SDE - Full Stack

InRain Pvt. Ltd.

Jul 2024 - Present

Built and shipped 4+ production web applications end-to-end using Next.js and Node.js, serving live users with zero major post-launch incidents. Reduced page load time by 64% (2.5s → 890ms) through server-side rendering (SSR) and SEO optimization, directly improving organic search visibility. Engineered automated email workflows via SMTP/Nodemailer, achieving asynchronous transactional user confirmations. Designed and deployed an internal RAG pipeline (LangChain, PGVector) that cut manual data search time by 83%, streamlining the knowledge retrieval for the end user.

Software Engineer Intern

RK Info Systems

Jan 2024 - May 2024

Built responsive, accessible UI screens across the product, reducing reported UI bugs and improving cross-device usability. Integrated Razorpay payment API end-to-end, achieving 100% accuracy in payment capture and retrieval across transactions. Refactored components into reusable modules and led code reviews, shortening development turnaround for new features.