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AI Engineer with less than a year in data annotation, LLM evaluation, and machine learning model dev
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated and results-driven AI/ML professional with hands-on experience in data annotation, quality validation, and large language model (LLM) response evaluation. Skilled in Python, SQL, and various machine learning techniques, demonstrated through impactful projects in banking analytics and crop price prediction. Eager to contribute to innovative AI/ML applications and optimize model performance.
Chaitanya Bharathi Institute of Technology, Gandipet
B.E. · Artificial Intelligence and Machine Learning
August 1, 2022 – June 30, 2026
Narayana Junior College
Intermediate · Maths, Physics, Chemistry
June 1, 2019 – May 31, 2021
Navodaya High School,Hyderabad
Secondary Education
June 1, 2011 – May 31, 2019
TAO Digital Solutions
AI Data Annotator Intern
May 1, 2026 – Present
India
Outlier AI
AI Response Evaluator
October 1, 2024 – January 31, 2025
India
AI-Powered Banking Customer Intelligence & Churn Prediction System
January 1, 2026 – January 31, 2026
Built an AI-powered banking analytics system using Python, XGBoost, and Streamlit. Achieved 90% prediction accuracy using SMOTE balancing and feature engineering. Performed customer segmentation using K-Means clustering to identify customer groups. Developed an interactive dashboard for churn analytics and customer insights.
Crop Price Prediction Using LSTM
February 1, 2025 – February 28, 2025
Built a deep learning model using LSTM for crop price forecasting. Performed preprocessing and trend visualization using Pandas and Matplotlib. Developed prediction visualizations for agricultural market analysis.
AI Primer
Infosys Springboard
June 1, 2026 – Present
Data Science Virtual Experience
BCG
June 1, 2026 – Present
Web Development Training
Internshala
June 1, 2026 – Present
Data Science using Python
NPTEL
June 1, 2026 – Present
Data Analytics Virtual Experience
Deloitte
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong interest in AI/ML through their academic major, personal projects, and certifications. Their experience in data annotation and LLM response evaluation aligns with foundational aspects of AI development. The diversity of projects (banking, agriculture) and certifications (data science, web development) indicates a broad curiosity and willingness to learn, which can contribute positively to a dynamic team environment. However, the projects are primarily academic/personal, and the experience is entry-level, suggesting a need for mentorship and integration into a professional engineering culture.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured problems and apply learned techniques. Their experience as an AI Response Evaluator suggests attention to detail and an understanding of quality in AI outputs. However, the current experience level (intern/freelance) and lack of complex system design projects suggest a need for further development in independent problem-solving and operational deployment.