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AI Engineer with 5+ years in AI, Data Analysis & Education
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 professional with a master's in physics and proven expertise in education, data analysis, and AI training. Experienced in AI evaluation, LLM language assessment, and multimedia annotation. Seeking opportunities to leverage analytical skills and diverse experience in AI, technology, and education.
Kashmir University
Bachelor of Education
August 1, 2022 – June 30, 2024
Kashmir University
Master of Science · Physics
August 1, 2018 – June 30, 2021
Govt. Girls Nawa Kadal
Bachelor of Science (Non-Medical) · Physics, Mathematics, and Chemistry
August 1, 2015 – June 30, 2017
Firstsource Gigsourcing Platform
E-commerce annotation
January 1, 2026 – Present
India
RWS
Urdu LLM Evaluator
January 1, 2025 – December 31, 2025
India
Innodata
Image & Video Annotator
January 1, 2025 – Present
India
Mindrift & Soul AI
AI Trainer
January 1, 2024 – Present
India
Miranda Public School
Teacher
January 1, 2022 – December 31, 2023
India
Independent Practice
Physics & Mathematics Educator
January 1, 2021 – Present
India
Indo Kashmir Consultancy
Data Entry Operator
January 1, 2021 – December 31, 2022
India
Online certifications in Data Science and AI/ML
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience in education, data analysis, and various AI-related annotation and evaluation roles suggests adaptability and a broad interest in different applications of AI. Their background in physics and mathematics, combined with their current pursuit of AI/ML certifications, indicates a strong drive for continuous learning and alignment with a technically progressive culture. The multilingual skills (Urdu, Hindi, Kashmiri) could be a significant asset for projects requiring diverse linguistic and cultural understanding in AI development. The candidate's project diversity and breadth of skills align well with a dynamic AI engineering environment.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills including excellent written and verbal communication, critical thinking, problem-solving, adaptability, quick learning, team collaboration, leadership, time management, and multitasking. These attributes are highly beneficial for an AI Engineer role, especially in collaborative environments and for handling complex problem-solving tasks. The candidate's experience in education also suggests strong communication and pedagogical skills, which could be valuable for explaining complex AI concepts or training junior team members.