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Software Engineer with 1+ years in Generative AI & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven AI Software Engineer specialising in Generative AI, Agentic AI, and production-grade ML for regulated industries. Hands-on expertise in multi-agent orchestration, real-time voice AI, RAG pipelines, KYC/AML automation, and full-stack AI backend development using FastAPI, CrewAI, LiveKit, ChromaDB, and leading LLMs (OpenAI GPT-4, Gemini, Claude, Groq/LLaMA).
Cultural Fit Analysis
The candidate's projects and experience demonstrate a strong focus on AI and machine learning, aligning well with roles requiring innovation and technical depth in these areas. The diversity of projects (clinical assistant, code analysis, sports analysis, medical imaging) indicates adaptability and a broad interest in applying AI across different domains. However, the experience is primarily within a single company, which might limit exposure to diverse corporate cultures.
Soft Skills & Operational Fit
The resume indicates involvement in organizing technical events and hackathons, suggesting potential for teamwork and leadership. However, without specific psychometric or behavioral assessment data, a comprehensive evaluation of soft skills and operational fit is limited.