Help & Supportcareers@gravityer.com
AI Engineer with less than a year in Machine Learning & Backend Systems
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI-focused Software Engineering graduate with a strong foundation in data science, machine learning, and backend systems. Experienced in building intelligent applications using LLMs, APIs, and scalable architectures. Interested in developing AI agents, automation systems, and data-driven solutions while continuously learning modern AI frameworks and tools.
Daffodil International University
Bachelor of Science · Software Engineering
August 1, 2021 – June 30, 2025
PDF Chatbot – Chat with Your Research Papers
January 1, 2025 – January 1, 2025
Developed an AI chatbot capable of answering questions from research papers using embeddings and vector databases. Integrated LLM APIs for semantic search and contextual responses. Focused on efficient document retrieval and response accuracy.
View ProjectAI Report Generator (LangGraph, Python)
January 1, 2025 – January 1, 2025
Built a multilingual AI agent to collect, process, and summarize news from multiple sources using LangGraph workflows. Designed modular agent architecture for scalability and automation.
Blog API (Node.js, Express.js, MongoDB)
January 1, 2025 – January 1, 2025
Developed a RESTful API with CRUD operations, authentication, and role-based access control. Integrated error handling, validation, and scalable routing architecture.
View ProjectAI Agent Development Bootcamp for Programmers
Ostad Platform
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in AI and automation, aligning well with an AI Engineer role. The diversity of projects, from AI chatbots to API development, shows a broad technical curiosity. However, all projects are personal, and there is no professional experience, which limits the assessment of collaboration within a team or adherence to organizational processes. The focus on learning new AI frameworks suggests a good fit for a dynamic, innovation-driven culture.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex technical challenges and a focus on efficient solutions. The objective statement highlights a continuous learning mindset and interest in modern AI frameworks, suggesting adaptability and a proactive approach to skill development. However, without specific behavioral or situational assessment data, it is difficult to fully evaluate soft skills like teamwork, problem-solving under pressure, or communication in a collaborative setting.