Help & Supportcareers@gravityer.com
AI Engineer with less than a year in Data Analysis & 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
A highly motivated B.Sc. in Computer Science and Engineering graduate with a strong academic record (GPA: 3.67/4.00) and practical experience in data analysis, machine learning, and full-stack development. Proficient in Python, SQL, Java, and C/C++, with a solid understanding of ML libraries like PyTorch and TensorFlow. Demonstrated ability to lead complex projects, such as AI-driven speech-based depression detection and traffic density classification, applying skills in data cleaning, statistical analysis, and OOP to deliver actionable insights and innovative solutions.
United International University
B.Sc. · Computer Science and Engineering
January 1, 2022 – February 1, 2026
Telecom Customer Churn Analysis
June 24, 2026 – Present
Analyzed 7,043 telecom customer records to uncover churn drivers; identified fiber optic customers churn at 2.2× the DSL rate and month-to-month contracts at 15× two-year contracts, delivering 4 actionable retention recommendations.
View ProjectShelf To Tales
June 24, 2026 – Present
Built a full-stack mobile bookstore application using React Native and Supabase, implementing user authentication, real-time cart management, and order handling with a responsive mobile UI.
View ProjectDataPirates
June 24, 2026 – Present
Designed and developed a virtual judge platform for competitive programming using JavaFX and MySQL, implementing user authentication, problem submission workflows, and automated code evaluation.
View ProjectCropCell
June 24, 2026 – Present
Engineered an IoT-based smart refrigeration system to reduce post-harvest vegetable losses, integrating sensor automation with real-time monitoring; awarded 5th Prize at UIU Project Show.
View ProjectCodeCraft
June 24, 2026 – Present
Developed a collaborative online programming platform featuring interactive coding challenges, real-time feedback, and progress tracking tools aimed at skill development across experience levels.
View ProjectAI Driven Speech Based Depression Detection
June 24, 2026 – Present
Engineered a multi-stage speech analysis pipeline for depression detection on the DAIC-WOZ dataset; applied speaker diarization and mutual information feature selection across 88 acoustic features, achieving 84.21% accuracy with a Cross-Modal Transformer architecture.
Hybrid CLIP-YOLO Framework for Traffic Density Classification in Urban Environments
June 24, 2026 – Present
Built a dual-stream traffic density classifier fusing CLIP scene embeddings with YOLOv8 vehicle counts; preprocessed custom CCTV datasets across varied conditions, achieving 94.25% accuracy with real-time inference on GPU and CPU.
Cultural Fit Analysis
The candidate's project portfolio is diverse, spanning data analysis, mobile development, competitive programming platforms, IoT, and advanced AI/ML research. This breadth indicates a strong curiosity and willingness to explore different technical domains. The focus on AI/ML projects aligns well with an 'AI Engineer' target role, demonstrating a clear interest and foundational skill set in the field. However, the lack of professional experience and the academic nature of many projects suggest a need for mentorship and adaptation to a corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and problem-solving attitude, particularly in developing solutions for real-world problems (e.g., smart refrigeration, traffic density classification). The academic and personal projects suggest an ability to work independently and drive initiatives. However, without specific psychometric or English test scores, a detailed assessment of communication, teamwork, and stress handling is not possible.