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AI Engineer with 1+ years in Machine Learning, Backend Engineering & Cloud Deployment
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Accomplished AI Engineer with a Master's in Artificial Intelligence and practical experience in backend engineering and applied AI architecture. Proven ability to architect robust AI systems, including LLMs and RAG pipelines, and develop production-grade Python APIs. Eager to leverage expertise in machine learning fundamentals, data fluency, and cloud deployment to drive technical evolution and mentor teams at Euphoric. Committed to shipping impactful, data-driven solutions in a fast-paced environment.
University of East London
MSc · Artificial Intelligence
August 1, 2024 – June 30, 2025
Chandigarh University
BE · Computer Science & Engineering
August 1, 2019 – June 30, 2023
Chipotle Mexican Grill
Crew Member / Crew Trainer
December 1, 2025 – Present
London, England, United Kingdom
KFC
Team Member / Team Leader
January 1, 2025 – November 30, 2025
London, England, United Kingdom
HighRadius Corporation
Project Intern - AI & Software Engineering
January 1, 2022 – April 30, 2022
India
The candidate scored 94% on the 'Data Scientist — Artificial Intelligence' test, indicating a strong grasp of the subject matter and excellent technical proficiency in AI-related concepts.
Strengths
Limitations
Cultural Fit Analysis
The candidate's diverse experience, from a technical internship to customer-facing leadership roles, indicates adaptability and a broad skill set. Their academic pursuits in AI and stated interests align well with a forward-thinking, innovation-driven culture. The blend of technical depth and practical soft skills suggests a candidate who can contribute both technically and interpersonally, fitting into a collaborative and dynamic team.
Soft Skills & Operational Fit
The candidate's experience as a Crew Member/Trainer at Chipotle and Team Member/Leader at KFC, while not directly technical, highlights strong soft skills such as mentorship, communication, teamwork, problem-solving, reliability under pressure, and time management. These are valuable for collaborative engineering environments and leadership potential. The psychometric test score of 408/500 suggests good logical reasoning, work attitude, stress handling, and team collaboration abilities.