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AI Engineer with less than a year in LLM Evaluation & 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
Engineering student specializing in Artificial Intelligence and Machine Learning with hands-on experience in LLM post-training evaluation, Generative AI, prompt engineering, RAG pipelines, NLP, and AI-powered automation workflows. Built and shipped production-style AI applications end-to-end using Python and FastAPI through industry internships and independent R&D projects. Comfortable working across the full AI development lifecycle - from model building and evaluation to deployment and workflow automation. Seeking roles in AI/ML Engineering, LLM Applications, GenAI, NLP, or AI Automation.
Cultural Fit Analysis
The candidate's project diversity, including applications in legal tech, surveillance, and language translation, demonstrates a broad interest in applying AI to various domains. Participation in hackathons and student associations suggests a proactive and collaborative mindset. The target role of 'AI Engineer' aligns well with the candidate's stated career objective and project experience. However, the lack of completed psychometric tests limits the depth of this analysis.
Soft Skills & Operational Fit
The candidate's resume indicates experience in remote work environments and participation in team-based projects and hackathons, suggesting an ability to collaborate and adapt. The role as Vice President of a student association also points to leadership and organizational skills. However, without specific psychometric or English test results, a comprehensive assessment of soft skills and operational fit is limited.