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AI Engineer with less than a year in Data Science & 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
Motivated by a passion for transforming complex, real-world challenges into actionable, data-driven solutions, with hands-on expertise in Python, SQL, Machine Learning, and Deep Learning, PowerBI, Advanced Excel. Proven ability in data preprocessing, feature engineering, predictive modeling, and computer vision applications. Published researcher with peer-reviewed papers accepted in AI and Deep Learning, demonstrating a strong foundation in cutting-edge technologies.
Varendra University
B.Sc. · Computer Science and Engineering
January 1, 2022 – January 1, 2026
Fixensy
Data Annotation Specialist
January 1, 2026 – February 1, 2026
Rajshahi, Rajshahi Division, Bangladesh
Next Word Prediction
June 1, 2026 – Present
• Developed an LSTM-based next-word prediction model with NLP preprocessing pipelines, achieving optimized cross-entropy loss through hyperparameter tuning.
View ProjectHeart Disease Prediction
June 1, 2026 – Present
• Developed classification model using Logistic Regression (Scikit-learn), achieving 98% accuracy. • Performed feature engineering and performance evaluation to optimize results.
View ProjectBreast Cancer Detection
June 1, 2026 – Present
• Built predictive models using Logistic Regression and Random Forest, achieving a high accuracy of 98%.
View ProjectDog vs Cat Classification (Transfer Learning)
June 1, 2026 – Present
• Applied CNN and VGG16-based transfer learning, reaching 95% classification accuracy.
View ProjectBlur Image Detection
June 1, 2026 – Present
• Implemented ResNet, MobileNet, and VGG16 for image classification with 94% validation accuracy. • Compared performance using XGBoost to enhance model stability and precision.
SpamShield — SMS Spam Detection System
June 1, 2026 – Present
• Built an SMS spam detection system using Naive Bayes classifier with TF-IDF vectorization, achieving high accuracy in binary text classification.
View ProjectBank Customer Churn Prediction
June 1, 2026 – Present
• Designed ANN classifier achieving 88% accuracy to predict customer attrition.
View ProjectLoanSense Loan Approval Prediction System
June 1, 2026 – Present
• Developed a Decision Tree model for loan approval prediction, comparing pruned vs unpruned trees to analyze overfitting and improve generalization performance.
View ProjectMachine Learning Training Program
RUET IoT Club, RUET
January 1, 2025 – Present
Data Science with Python
Ostad
January 1, 2025 – Present
MERN Stack Development
Ostad
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic background and numerous projects in diverse AI/ML domains (healthcare, image processing, NLP, finance) demonstrate a broad interest and adaptability, which can contribute positively to cultural fit. Participation in tech carnivals and club activities suggests a collaborative spirit and engagement with the tech community. The MERN Stack certification, while not directly AI-related, shows a willingness to learn diverse technologies. The candidate's profile aligns with a learning-oriented and project-driven culture.
Soft Skills & Operational Fit
The candidate's professional summary highlights motivation for solving real-world challenges and a passion for data-driven solutions, suggesting a proactive and problem-solving mindset. The academic achievements and publications indicate a drive for continuous learning and contribution. The brief experience as a Data Annotation Specialist shows attention to detail and an understanding of ML pipeline requirements. However, the limited professional experience means operational fit in a fast-paced, senior engineering environment is yet to be fully proven.