Jaya Sri Veeramallu

Jaya Sri Veeramallu

Software Engineer · React, Next.js, Golang, Python

Hyderabad, Telangana, India

@jaya_sri_veeramallu

0 followers

About

Software Engineer with 2+ years of experience building scalable web applications using React.js, Next.js, TypeScript, Golang, and Python. Experience spans frontend architecture, Core Web Vitals, SEO, REST APIs, and web performance engineering.

Experience

  • Software Developer
    Blox.xyz
    Jul 2024 – Present

    Reduced Node.js heap consumption through memory leak fixes, preventing ECS OOM restarts and lowering AWS infrastructure costs. Improved Core Web Vitals across Project Detail and Homepage, reducing LCP by 56% from 8s to 2.5s and achieving CLS < 0.1, improving SEO performance by approximately 40%. Implemented dynamic internal linking that reduced 20K orphan pages, improving website discoverability and SEO structure. Deployed 25+ campaign microsites and enhanced video integration, increasing user engagement by 60%.

  • Research Intern, Compilers
    IIT Hyderabad · Hyderabad, India
    Jan 2024 – Jun 2024

    Developed and contributed approximately 30 Clang/LLVM compiler passes in C/C++ to detect non-compliant code patterns across multiple test codebases. Improved static analysis coverage and reduced manual debugging effort by automating syntax validation across test codebases.

Education

  • B.Tech in Computer Science and Engineering (Hons.)
    JNTU-GV College of Engineering
    Computer Science and Engineering (CSE) · Aug 2020 – Apr 2024

Skills

Tools / apps / platforms

2 to 5 years 2 to 5 years Several years of experience.
Git NPM Atlassian JIRA

Projects

  • AI-Based IT Training System
    MERN, Flask, Gemini API

    Built a full-stack AI-driven adaptive learning platform that generates personalized course content based on user knowledge level and learning progress. Integrated Gemini API with a Flask backend to generate adaptive learning paths, explanations, and assessments within a MERN-based architecture.

  • Parsons Problem Generator
    Python, React

    Designed and implemented an interactive Parsons problem generator that dynamically generates structured programming exercises across varying difficulty levels. Built a React-based UI with a test-case evaluation system that validates correctness independent of syntax order and provides real-time feedback to users.

🏆 Achievements & awards

  • Smart India Hackathon 2023 Finalist · 2023
  • Pratibha Award · 1974

    Government of Andhra Pradesh

  • Academic Topper Award · 2024

    JNTU-GV College of Engineering

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