MAC

Mehrin Ahmed Chowdhury

AI Engineer

https://www.opentalent.in/mehrin-ahmed-chowdhury

AI Engineer with less than a year in Data Analysis & Machine Learning.

Key Strengths

Strong foundational knowledge in Python, SQL, Java, and C/C++.
Demonstrated experience with various ML libraries including PyTorch, TensorFlow, and Scikit-learn.
Practical application of data analysis and visualization tools (Pandas, NumPy, Matplotlib, Seaborn, Tableau).
Experience in developing AI/ML models for specific applications (speech-based depression detection, traffic density classification).
Exposure to full-stack development (React Native, Supabase) and database management (MySQL).

Cultural & Operational Fit

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.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

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.

Top Skills

PythonSQLJavaPyTorchTensorFlow

Projects

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.

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AI 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.

Shelf 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.

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CodeCraft

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.

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DataPirates

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.

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CropCell

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.

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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.

Key Strengths

Strong foundational knowledge in Python, SQL, Java, and C/C++.
Demonstrated experience with various ML libraries including PyTorch, TensorFlow, and Scikit-learn.
Practical application of data analysis and visualization tools (Pandas, NumPy, Matplotlib, Seaborn, Tableau).
Experience in developing AI/ML models for specific applications (speech-based depression detection, traffic density classification).
Exposure to full-stack development (React Native, Supabase) and database management (MySQL).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Mehrin Ahmed Chowdhury

Key Strengths

Cultural & Operational Fit

About

Top Skills

Skills

Education

Projects

Key Strengths

Cultural & Operational Fit