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Software Engineer with 2+ years in Java, Cloud & 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
Highly motivated and skilled Software Engineer with 2.5 years of experience in developing robust and scalable applications. Proficient in Java, Python, and cloud technologies such as AWS, with a strong focus on microservices architecture, RESTful APIs, and data synchronization. Demonstrated ability to design and implement efficient solutions, optimize performance, and contribute across the full SDLC in agile environments. Eager to leverage expertise in AI/LLM integration for innovative data-driven solutions.
Cultural Fit Analysis
The candidate's experience at S&P Global, a large financial institution, suggests exposure to structured environments and potentially complex problem domains. The project diversity, including GNN for Air Quality Forecasting, indicates a breadth of interest beyond core enterprise development. However, the limited duration of professional experience (Associate Software Engineer since June 2024, Intern Jan-May 2024) means cultural fit is largely inferred from project descriptions and skill breadth rather than sustained team contributions.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration in multi-functional and cross-functional teams, agile environment experience, and contributions across the full SDLC, suggesting good operational fit and teamwork potential. However, without specific psychometric test results, a deeper assessment of stress handling and work attitude is not possible.