Help & Supportcareers@gravityer.com
QA Automation Engineer with 2+ years in Quality Assurance & Automation and Fullstack Development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Anjali is a dedicated Software Engineering Intern specializing in Quality Assurance and Automation, with hands-on experience in developing scalable applications and implementing CI/CD pipelines. Proficient in Java, Python, and the MERN stack, she excels in problem-solving, team collaboration, and optimizing system performance. Her project experience includes a real-time chat application, an AI-powered code review bot, and a distributed file storage system.
Netaji Subhas University of Technology (NSUT)
Bachelor of Technology · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Amazon
Software Engineering Intern (Quality Assurance & Automation)
May 1, 2024 – Present
Bengaluru, Karnataka, India
Rotaract Club of NSIT Regency
Director of Vocational Service
March 1, 2023 – Present
New Delhi, Delhi, India
The Debugging Society, NSUT
Technical Team Member
January 1, 2023 – Present
New Delhi, Delhi, India
Real-Time Chat Application
January 1, 2024 – December 31, 2024
Architected a scalable real-time messaging platform supporting 1000+ concurrent users with WebSocket connections using Socket.io and Node.js backend. Implemented user authentication with JWT, message encryption, and Redis caching for session management, reducing server load by 45%. Deployed application using Docker containers on AWS EC2 with load balancing, achieving 99.5% uptime and sub-100ms message latency.
Intelligent Code Review Bot
January 1, 2024 – December 31, 2024
Built an ML-powered bot that analyzes code quality, detects bugs, and suggests improvements using NLP and static analysis techniques. Trained custom neural network on 50,000+ code samples achieving 82% accuracy in identifying code smells and security vulnerabilities. Integrated with GitHub API to provide automated pull request reviews, reducing manual review time by 30% for development teams.
Distributed File Storage System
January 1, 2023 – December 31, 2023
Developed a distributed file storage system using Java with client-server architecture supporting concurrent file uploads/downloads. Implemented multithreading and socket programming to handle 50+ simultaneous client connections with file chunking for large files. Designed MySQL database schema for metadata management and implemented file replication for fault tolerance.
DSA Problem Solving Platform
January 1, 2023 – December 31, 2023
Created an online coding platform with 100+ DSA problems, online code editor, and automated test case evaluation system. Built RESTful APIs using Spring Boot (Java) for user management, submission handling, and leaderboard functionality.
Hackon with Amazon - Season 4
Amazon
June 1, 2026 – Present
AWS Certifications
Unknown
June 1, 2026 – Present
Competitive Programming
LeetCode and CodeChef
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's involvement in academic clubs like 'The Debugging Society' and 'Rotaract Club' demonstrates a proactive, community-oriented mindset and a commitment to continuous learning and mentorship. Their diverse project portfolio, ranging from DSA platforms to ML-powered bots and distributed systems, indicates intellectual curiosity and adaptability. The internship at Amazon, a large tech company, suggests an ability to thrive in structured, fast-paced environments. These factors point to a strong cultural fit, particularly in organizations that value collaboration, innovation, and continuous improvement.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills, as evidenced by their involvement in competitive programming and bug resolution at Amazon. Their experience in agile environments, code reviews, and daily standups highlights excellent team collaboration and communication. The role as Director of Vocational Service and Technical Team Member further indicates leadership potential and a proactive attitude towards skill development and mentorship. These attributes suggest a strong operational fit for a dynamic engineering team.