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AI Engineer with less than a year in Machine Learning, NLP, and Generative AI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI/ML professional with strong expertise in Machine Learning, NLP, and Generative AI, specializing in building and deploying models using TensorFlow and other ML frameworks. Experienced in converting raw data into scalable, production-ready AI systems and optimizing model performance end-to-end.
Sri Chaitanya Junior College
Intermediate
N/A – May 31, 2021
Y,VM.C. High School
10th
N/A – May 31, 2019
Geethanjali Institute of Science and Technology
B.Tech · Computer Science and Engineering
N/A – June 30, 2025
Imbalanced Classification Analysis Using Resampling And Machine Learning
November 1, 2025 – June 1, 2026
Performed EDA on an imbalanced dataset using Python (Pandas, NumPy), analyzing feature patterns, correlations, and class imbalance with visualizations in Matplotlib and Seaborn. Applied Cluster Centroid undersampling and SMOTE oversampling to balance the dataset, followed by training ML models such as Logistic Regression, KNN, and Decision Tree. Evaluated model performance using F1-score, ROC-AUC, and accuracy, achieving improved minority-class prediction after SMOTE preprocessing.
Airline Operations and Pricing Analytics
September 1, 2025 – June 1, 2026
Performed exploratory data analysis (EDA) on airline datasets using Python, Pandas, and NumPy to identify pricing patterns, route trends, and airline performance indicators. Developed visual analytics dashboards with Matplotlib and Seaborn, visualizing price distribution, class-wise fare differences, and duration impact to enhance business insights. Executed complex SQL queries to compute average fares, detect busiest routes, and compare flight classes, improving reporting accuracy and decision-making efficiency.
Image Caption Generation using CLIP & GPT-2
February 1, 2025 – April 1, 2025
Built and trained a deep learning model for automatic image captioning by integrating CLIP features with GPT-2 language generation. Implemented a lightweight prefix mapping technique to align vision and language features, improving model efficiency and reducing computational overhead by 20%. Evaluated on MS COCO and Conceptual Captions datasets, producing high-quality captions with improved contextual accuracy.
Python Programming
IIT Bombay (Spoken Tutorial)
June 1, 2026 – Present
MySQL
IIT Bombay (Spoken Tutorial)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects are primarily academic and focused on core AI/ML research and data analysis. While this aligns with the technical demands of an AI Engineer role, the lack of professional experience or diverse project types (e.g., open-source contributions, industry internships) limits the assessment of cultural fit in a fast-paced, collaborative industry environment. The skills listed are relevant to the target role, but the breadth of application is currently narrow.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex technical problems independently. However, without specific behavioral or teamwork assessments, it is difficult to fully evaluate soft skills like collaboration, stress handling, or communication clarity in a team setting. The academic nature of projects suggests a learning-oriented individual.