Help & Supportcareers@gravityer.com
Data Science with less than a year in Backend Engineering & AI 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
Data Science undergraduate with hands-on experience in backend engineering, AI systems, analytics, and full-stack development. Built projects using Python, FastAPI, LLMs, SQL, React, and Spring Boot. Interested in AI Engineering, Data Engineering, Analytics, and Software Development roles.
Sri Lanka Institute of Information Technology (SLIIT)
BSc (Hons) Information Technology Specialization in Data Science · Data Science
N/A – January 1, 2027
CODELANTIC (pvt) Ltd
Intern Software Engineer (Back End)
September 1, 2025 – March 1, 2026
India
Online Vehicle Rental System-Y2S2
June 18, 2026 – Present
Developed full-stack rental management platform using MERN stack. Designed booking workflows, user authentication, and vehicle inventory management.
Intelligent Volunteer Matching System -Y3S1
June 18, 2026 – Present
Built AI-powered volunteer-event recommendation platform using LLMs, FastAPI, vector databases, and NLP. Implemented semantic matching engine improving role-fit recommendations. Added explainable AI outputs and RBAC security architecture.
Large Language and Vision Assistant -Y3S1
June 18, 2026 – Present
Conducted research on Explainable AI for multimodal large language models. Analyzed LLaVA vision language architecture and model reasoning behavior. Proposed cross modal attribution methods to explain image-text predictions. Improved model transparency through concept level explanation techniques.
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and capability in cutting-edge AI/ML and data science, aligning well with innovative and research-oriented cultures. The internship in backend engineering shows adaptability and a willingness to contribute to different areas of software development. The diversity of projects (AI, full-stack, backend) suggests a broad intellectual curiosity and a proactive approach to learning, which is beneficial for dynamic team environments. The target role of Data Science is well-supported by the project work.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted problems. The internship experience suggests collaboration in an Agile environment. However, without specific psychometric or English test results, it's difficult to fully assess communication, logical reasoning, stress handling, and team collaboration beyond what's implied by project descriptions.