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Generative AI Engineer with less than a year in Generative AI & Full-stack Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Developer with a strong specialization in Generative AI and AI/ML Engineering, combining full-stack development expertise with hands-on experience building RAG systems, LLM-powered agents, and production-grade backend APIs. Skilled in architecting scalable systems from real-time web platforms and CI/CD pipelines to vector search, semantic retrieval, and agentic AI workflows using FastAPI, Django, LangChain, and Qdrant. Strong focus on clean engineering, automation, and end-to-end delivery from code to deployment.
Cultural Fit Analysis
The candidate's project diversity, ranging from defence applications to conversational AI and medical imaging, indicates adaptability and a broad interest in applying AI/ML across different domains. The target role of 'Generative AI Engineer' aligns well with the candidate's stated specialization and project experience in RAG systems and LLM agents. Participation in coding competitions and mentoring AI/ML workshops suggests a proactive and collaborative mindset, contributing positively to cultural fit. However, the lack of detailed project descriptions for some entries limits a deeper assessment of alignment with specific organizational values or team dynamics.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through project work, particularly in optimizing retrieval accuracy and designing robust ingestion pipelines. Experience in collaborative team development and client-facing delivery indicates good teamwork and communication. Adherence to security standards and mission-critical reliability requirements suggests a responsible and detail-oriented work attitude. However, without specific psychometric or English test scores, a comprehensive assessment of soft skills and operational fit is limited.