Amrish kanwat

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

• Strong foundational knowledge in Machine Learning, Deep Learning, and Natural Language Processing, demonstrated through academic projects and a future-dated internship.
• Proficiency in key AI/ML frameworks and languages including Python, TensorFlow, Keras, Scikit-learn, and RASA.
• Project experience in Computer Vision (CNNs for object/anomaly detection, emotion recognition) and sequential data processing (RNNs, time-series forecasting).
• Familiarity with end-to-end ML pipeline components, from data cleaning to model deployment on Streamlit.
• Relevant certifications in Generative AI and Cybersecurity, indicating proactive learning.
• Demonstrated problem-solving aptitude through Data Structures & Algorithms practice.
• The candidate's technical skills and project focus align well with the core requirements of an AI Engineer role, particularly at an entry or junior level.