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AI/LLM Data Operations with less than a year in Data Quality & Process Compliance
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Quality-focused Operations and AI Data Professional with 2+ years of experience in process monitoring, compliance validation, AI data annotation, and performance reporting. Experienced in AI/LLM data operations, structured data validation, SLA tracking, and quality assurance across enterprise and AI-driven projects. Currently working in AI model training support at Innodata, contributing to data annotation, validation, and quality improvement for Large Language Models (LLMs).
CMR University
Master of Computer Applications (MCA)
N/A – June 30, 2024
Acharya Nagarjuna University
Bachelor of Computer Applications (BCA)
N/A – June 30, 2022
Innodata India Pvt.Ltd
AI/LLM Associate
February 1, 2026 – Present
Noida, Uttar Pradesh, India
Randstad Pvt. Ltd. (Client: NVIDIA)
Process Executive – Quality & Operations Support
October 1, 2025 – January 31, 2026
Bengaluru, Karnataka, India
MithuraSoft Pvt. Ltd.
Data Analytics Intern
August 1, 2024 – March 31, 2025
India
Private Educational Institution
Administrative / Management Executive
March 1, 2024 – September 30, 2025
India
Performance Monitoring Dashboard
June 23, 2026 – Present
Built Excel-based dashboards to monitor KPIs and quality indicators. Identified trend deviations and suggested corrective measures.
Customer Data Analysis Project
June 23, 2026 – Present
Conducted structured data validation and consistency checks. Generated actionable insights to improve operational decisions.
Data Labeller
January 1, 2025 – June 30, 2026
Performed structured data labeling for AI model training. Classified text and content based on predefined policies. Ensured consistency and adherence to content moderation guidelines. Flagged ambiguous or sensitive cases for escalation. Maintained confidentiality and data security compliance.
Prompt Validator
January 1, 2023 – June 30, 2026
Reviewed and validated AI-generated prompts in Telugu and English. Ensured contextual accuracy, clarity, and relevance. Improved response quality by identifying inconsistencies and logical gaps. Followed strict annotation guidelines for LLM training tasks. Maintained quality benchmarks and productivity standards.
Cultural Fit Analysis
The candidate's diverse project experience, including professional and freelance roles in data validation, labeling, and prompt validation, indicates adaptability and a willingness to engage with various data-centric tasks. Their educational background in Computer Applications further supports a foundational understanding relevant to data roles. The focus on quality assurance and process compliance aligns well with an operations-focused environment.
Soft Skills & Operational Fit
The candidate demonstrates strong attention to detail, process adherence, and a commitment to quality, which are crucial for an Operations Data Analyst role. Their experience in coordinating corrective actions and contributing to workflow improvements suggests a proactive and problem-solving mindset. The ability to maintain confidentiality and follow strict guidelines indicates reliability and operational discipline.