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AI Engineer with less than a year in Data Operations & Machine Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented technology professional with experience in data operations, quality assurance, and cross-functional collaboration. Skilled in analyzing problems, documenting workflows, and delivering accurate results under minimal supervision. Strong communicator with a customer-focused mindset, adaptable to fast-paced environments, and comfortable working across diverse teams and time zones. Seeking to leverage technical and analytical skills in a technology support and service delivery role.
Sri Venkateswara Engineering College, Tirupati
B.E. · Computer Science & Engineering (AI & ML Specialization)
August 1, 2021 – June 30, 2025
Sri Chaitanya Junior College, Tirupati
Intermediate Education (12th Standard)
June 1, 2019 – May 31, 2021
GlobalLogic
Associate Analyst
April 1, 2026 – Present
India
Rveiya Dynamics
Artificial Intelligence Intern
February 1, 2025 – April 1, 2025
India
Fetal Health Risk Prediction and Classification
June 1, 2026 – Present
• Built XGBoost multi-class classification model achieving 92% accuracy in predicting fetal health risk using CTG medical data. • Performed comprehensive EDA including feature correlation analysis, distribution analysis, and outlier detection. • Handled class imbalance using SMOTE and stratified sampling techniques. • Implemented SHAP (SHapley Additive exPlanations) for model explainability and feature importance ranking. • Created interactive dashboard using Streamlit for real-time risk prediction and visualization.
Spam vs Ham Email Classification System
June 1, 2026 – Present
• Designed end-to-end NLP data pipeline for email text classification. • Performed text preprocessing: tokenization, stemming, lemmatization, stop-word removal. • Implemented TF-IDF vectorization for feature extraction from text data. • Compared performance of Naive Bayes, Logistic Regression, and SVM algorithms. • Evaluated models using precision, recall, F1-score and conducted hyperparameter tuning.
Excel Essentials for Data Analytics
IBM Coursera
January 1, 2025 – Present
Data Visualization and Dashboards with Excel and Cognos
IBM Coursera
January 1, 2025 – Present
Data Analytics Essentials
IBM Coursera
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate initiative and a proactive approach to learning and applying AI/ML concepts. The experience at GlobalLogic involves collaboration with ML engineers and data teams across functions, suggesting an ability to work in diverse teams. The academic specialization in AI & ML, coupled with personal projects, indicates a strong interest and alignment with an AI-focused role. However, the professional experience is heavily skewed towards data annotation and quality assurance rather than core AI model development, which might require a cultural shift towards more independent problem-solving and architectural design in a senior AI Engineer role.
Soft Skills & Operational Fit
The candidate's resume highlights attention to detail, problem-solving, written and verbal communication, cross-cultural collaboration, self-motivation, and quick decision-making. These soft skills are valuable for an AI Engineer role, particularly in collaborative environments and for ensuring data quality and model reliability. The experience in documenting workflows and tracking progress also indicates good operational fit.