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AI Engineer with 8+ years in AI Data Annotation & Data Analysis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Bilingual (English & Hindi) Computer Science undergraduate with 1+ year of experience in AI data annotation and model evaluation, plus 6 years of customer-facing experience in client communication and lead generation. Strong attention to detail, structured judgment, and clear written communication for labeling, reviewing, and improving AI-generated content.
Axis Institute of Technology & Management
B.Tech · Computer Science & Engineering
August 1, 2024 – June 30, 2028
InLighnX Global Pvt. Ltd.
Data Analyst Intern
January 1, 2026 – June 30, 2026
Kanpur, Uttar Pradesh, India
Freelance / Independent Projects
AI Data Annotation & Evaluation Contributor
January 1, 2025 – Present
India
Retail Business Store
Customer Executive & Lead Generation Specialist
January 1, 2019 – December 31, 2025
Kanpur, Uttar Pradesh, India
Data & Workflow Pipeline
May 1, 2026 – June 30, 2026
Built automated workflows to parse unstructured environmental datasets into structured ingestion schemas; resolved schema issues via validation scripts and documented taxonomy for ML pipelines.
Face Detection & Recognition System
October 1, 2024 – October 1, 2024
Built a custom facial dataset and ran QA testing across detection pipelines, achieving ~85% model recognition rate while applying data-masking protocols for privacy compliance.
Adobe Generative AI Content Creation Certificate
Adobe
January 1, 2026 – Present
ISEA Cyber Security Certificate
ISEA
January 1, 2026 – Present
Security Copilot Through Guided Simulations
Microsoft
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience, including freelance AI data annotation, a data analyst internship, and customer executive roles, suggests adaptability and a willingness to engage in varied tasks. Their involvement in both academic and professional projects, along with certifications in Generative AI and Cybersecurity, indicates a proactive learning attitude and a broad interest in relevant technologies. The bilingual proficiency (English & Hindi) also points to a potential for contributing to diverse and inclusive teams. The blend of technical and customer-facing roles suggests a well-rounded individual who can bridge technical work with user understanding.
Soft Skills & Operational Fit
The candidate exhibits strong attention to detail, structured judgment, and clear written communication, which are vital for data annotation and model evaluation. Their customer-facing experience suggests good interpersonal skills and the ability to manage interactions, which can translate to effective collaboration in a team environment. The experience in lead generation indicates proactivity and goal orientation. However, the psychometric test results are not provided, so a full assessment of logical reasoning, work attitude, stress handling, and team collaboration cannot be made.