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Fullstack Engineer with 1+ years in AI/ML & Web 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
Computer Science engineering graduate with hands-on experience in backend development, full-stack web development, and data analysis. Skilled in AI/ML model development, backend engineering, and data analysis. Skilled in Python, machine learning, deep learning frameworks (TensorFlow, PyTorch), and NLP/GenAI techniques including LLM integration and prompt engineering. Proven ability to build predictive models, deploy solutions with DevOps practices (Docker, CI/CD), and collaborate within Agile teams. Passionate about applying AI to reduce process turnaround time and deliver measurable business outcomes.
Cultural Fit Analysis
The candidate's involvement in a cybersecurity hackathon and cultural council suggests a willingness to engage beyond core academic work. The project diversity, ranging from full-stack applications to AI/ML research and mobile development, indicates adaptability and a broad interest in technology. However, the limited professional experience (internships) and lack of diverse organizational exposure make a comprehensive cultural fit assessment challenging.
Soft Skills & Operational Fit
The candidate demonstrates an understanding of Agile methodologies, cross-functional collaboration, and stakeholder management. The resume highlights a focus on business outcomes and problem-solving, which are crucial for operational fit. However, without psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.