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Full Stack Engineer with less than a year in Full-Stack & Generative AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Engineer at Infosys with hands-on experience in full-stack development (Java, Spring Boot, Angular, TypeScript) and Generative AI (LangChain, RAG, vector databases). Trained in Agile/Scrum delivery and AI-assisted development using GitHub Copilot and Claude Code. Contributed to Infosys internal AI tooling (Topaz). Seeking roles in full-stack or GenAI engineering.
Ajay Kumar Garg Engineering College, Ghaziabad
Bachelor of Technology · Electronics and Communication Engineering
August 1, 2021 – June 30, 2025
Lucknow Public School, Lucknow
Class 12
June 1, 2019 – May 31, 2020
Lucknow Public School, Lucknow
Class 10
June 1, 2017 – May 31, 2018
Infosys Limited
Systems Engineer - Full Stack & GenAI
July 1, 2026 – Present
Bengaluru, Karnataka, India
Infosys Limited
Systems Engineer Trainee
November 1, 2025 – June 30, 2026
Bengaluru, Karnataka, India
Book Store Management System
June 25, 2026 – Present
Built a full-stack Book Store Management System using Java, Spring Boot, Angular, and MySQL, implementing CRUD operations across 4 REST API layers (Controller, Service, Repository, Database). Integrated Angular frontend with Spring Boot backend; performed API testing, validation, and database optimization for reliable application performance.
Java-Spring Knowledge AI-Assistant
June 25, 2026 – Present
Developed an AI-powered chatbot using LangChain, LLMS, and RAG to deliver context-aware responses, integrating 2 vector databases (FAISS, ChromaDB) for semantic search and embeddings. Implemented prompt engineering and conversational memory to enable efficient question answering from custom knowledge sources.
Cultural Fit Analysis
The candidate's academic projects and professional experience at Infosys demonstrate exposure to both traditional full-stack development and emerging GenAI technologies. This breadth of skills and project diversity suggests a good cultural fit for a dynamic role that requires continuous learning and adaptation. The involvement in an internal AI platform (Infosys Topaz) indicates a willingness to contribute to organizational initiatives. However, the candidate's experience level is entry-level, which might require more mentorship in a senior-level cultural context.
Soft Skills & Operational Fit
The candidate's project descriptions and experience indicate an ability to work within structured development methodologies (Agile/Scrum) and leverage modern development tools. The focus on full-stack and GenAI suggests a proactive learning attitude and adaptability to evolving tech landscapes. However, without specific psychometric or English test scores, a detailed assessment of communication clarity, logical reasoning, work attitude, stress handling, and team collaboration cannot be fully provided.