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AI Engineer with 3+ years in Data Operations, AI Data Annotation & Production Support. Skilled in tr
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Assessing your cultural and operational fit
Results-driven IT professional with 3.5+ years of experience in Technical Support, Data Operations, and AI Data Annotation. Skilled in troubleshooting technical issues, incident management, customer support, and data quality assurance. Hands-on experience with Hadoop, Hive, Impala, Jira, ServiceNow, Power BI, and AI/ML data annotation processes. Proven ability to analyze complex problems, maintain high-quality standards, and collaborate with cross-functional teams to deliver efficient solutions. Strong understanding of data validation, process improvement, and prompt engineering concepts. Seeking opportunities to leverage technical expertise, analytical skills, and AI-related experience in a growth-oriented organization.
Gokaraju Rangaraju Institute of Engineering and Technology
B.Tech · ECE
N/A – June 30, 2020
Bandari Srinivas Institute of Technology
Diploma · Electronics
N/A – June 30, 2017
SV Model Residential High School
10th Grade
N/A – May 31, 2012
Innodata Pvt Ltd
AI/LLM Analyst
December 1, 2025 – May 1, 2026
India
Infosys Limited
System Engineer to Senior System Engineer
March 1, 2022 – March 1, 2025
Hyderābād, Telangana, India
Exploratory Data Analysis and Risk Profiling
Unknown
June 1, 2026 – Present
Predicting Delinquency with AI
Unknown
June 1, 2026 – Present
Business Report & Data Storytelling for Collections Strategy
Unknown
June 1, 2026 – Present
Implementing AI-driven Collections Strategy
Unknown
June 1, 2026 – Present
Power BI
Unknown
June 1, 2026 – Present
Prompt Engineering
Unknown
June 1, 2026 – Present
AI-based Model Interaction
Unknown
June 1, 2026 – Present
GenAI Powered Data Analytics Job Simulation
Forage
July 1, 2025 – Present
Cultural Fit Analysis
The candidate's experience spans technical support, data operations, and AI data annotation, showing adaptability. Their work at Infosys and Innodata, including client projects, indicates experience in structured corporate environments. The certifications in AI and data analytics suggest a proactive learning attitude, which is a positive cultural fit for growth-oriented organizations. However, the primary experience is in L1 support and data annotation, which might require significant upskilling for a senior AI Engineer role focused on model development and deployment.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through troubleshooting and optimizing data pipelines. Their experience in collaborating with business analysts and technical leads, along with managing annotation tasks under strict deadlines, suggests good teamwork and time management. The focus on data quality and accuracy aligns well with operational excellence.