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AI Engineer with less than a year in LLMs & Prompt Engineering
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Full Stack and AI Engineer with hands on 6 month of experience in Large Language Models (LLMs), Prompt Engineering, Deep Learning, PyTorch, and scalable full-stack applications. Experienced in building production-ready systems using React, FastAPI, PostgreSQL, MongoDB, and Docker, PyTorch
ITS ENGINEERING COLLEGE
B.Tech
August 1, 2020 – June 30, 2024
Ethara.AI
Prompt Engineer Intern and LLM Intern
March 1, 2024 – Present
India
BlueStock
Prompt Engineer Intern
November 1, 2023 – January 31, 2024
India
Task Tracker Application
January 1, 2026 – June 30, 2026
Built a full-stack task management application with authentication system Developed frontend using React.js and backend APIs using Python Integrated MongoDB database and containerized the application using Docker
Insta Canteen Connect
January 1, 2026 – June 30, 2026
Developed an online canteen management platform for food ordering and user interaction Built responsive frontend using React.js and backend services using Python Implemented database integration with MongoDB for managing orders and user data
Inventory & Order Management System
January 1, 2026 – June 30, 2026
Developed a production-ready full-stack Inventory and Order Management System Built scalable backend APIs using Python FastAPI for managing products, customers, orders, and inventory Designed responsive frontend using React.js with modern UI components Integrated PostgreSQL database for secure and efficient data management Containerized complete application using Docker for deployment and scalability
Artificial Intelligence and Machine Learning
Udemy Certifications
June 1, 2026 – Present
AI/ML
Infosys Certifications
June 1, 2026 – Present
Python
Infosys Certifications
June 1, 2026 – Present
Prompt Engineering
Infosys Certifications
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including an Inventory & Order Management System, Task Tracker, and Canteen Management platform, shows a breadth of application development experience. Their internship roles as 'Prompt Engineer Intern and LLM Intern' and 'Prompt Engineer Intern' directly align with the target role of 'AI Engineer'. The combination of full-stack development and specialized AI/ML experience suggests a versatile individual who can contribute across different aspects of an AI product lifecycle. The certifications in AI/ML and Prompt Engineering further reinforce their commitment to the field.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end solutions, from backend APIs to frontend UI and database integration. Their internship experiences suggest a collaborative approach to improving AI systems and optimizing workflows. However, without specific behavioral assessment data, it's difficult to fully assess soft skills like teamwork, problem-solving under pressure, or communication clarity in a team setting.