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AI 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
AI Engineer with 1.4 years of experience, specializing in Generative AI, Machine Learning, and agent-based systems. Proven ability to research and develop innovative solutions, architect multi-agent systems, and optimize AI model performance. Proficient in Python, C#, and JavaScript, with hands-on experience in cloud platforms like Azure and frameworks like LangGraph and DeepAgents.
VJCET, Kerala
Bachelor of Technology · Computer Science and Engineering
N/A – June 30, 2024
Jama-ath HSS, Kerala
Class 12th · Biomaths
N/A – May 31, 2020
Tata Consultancy Services Ltd
Generative Al Engineer
April 1, 2025 – Present
Cochin, Kerala, India
Fingent
Intern (Microsoft Technologies)
July 1, 2024 – September 1, 2024
Cochin, Kerala, India
EASY - G: A Complete Heart Diagnostic System
June 27, 2026 – Present
We developed a machine-learning pipeline for detecting cardiovascular conditions from ECG. Language: Python, Streamlit for the web framework Algorithms tested: Support Vector Machine (SVM), K-nearest neighbors (K-NN), random forest(RF) Main model: Voting-Based Ensemble Classifier
Supervised Machine Learning: Regression and Classification
Stanford University
June 1, 2026 – Present
Advanced Learning Algorithms
Stanford University
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic project in a heart diagnostic system, coupled with professional experience in Generative AI for insurance, shows a diverse application of technical skills. The certifications from Stanford University indicate a commitment to continuous learning. The blend of academic and industry experience, along with exposure to different technologies, suggests a candidate who can adapt to various team environments and contribute to diverse projects. The target role of AI Engineer aligns well with the candidate's recent experience and stated skills.
Soft Skills & Operational Fit
The candidate's resume indicates a proactive approach to learning and applying advanced AI concepts, suggesting a strong work ethic and adaptability. The experience in developing POCs for clients implies problem-solving and client-facing skills. However, without direct assessment data, specific soft skills like teamwork, stress handling, or communication clarity cannot be definitively evaluated.