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AI Engineer with less than a year in AI, Machine Learning, and NLP.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am Md. Ferdaus Hossen, a motivated and detail-oriented individual with a strong passion for continuous learning and personal growth. I enjoy working in dynamic environments, solving challenging problems, and taking initiative in every task. I am eager to apply my skills in Artificial Intelligence, Machine Learning, and data-driven solutions to contribute positively to organizational success.
Ostad
AI Engineering Bootcamp · AI Engineering
August 1, 2026 – Present
Green University of Bangladesh
B.Sc. · Computer Science and Engineering (CSE)
August 1, 2021 – June 30, 2026
Jashore Board
Higher Secondary Certificate (HSC)
N/A – May 31, 2020
Jashore Board
Secondary School Certificate (SSC)
N/A – May 31, 2017
Zensoft Lab
Intern
October 1, 2025 – January 1, 2026
India
IoT Sensor Trend Prediction
June 29, 2026 – Present
Machine learning-based IoT sensor data analysis and trend prediction system for forecasting sensor behavior, anomaly detection analytics using time-series data.
View ProjectStudy Management Project
June 29, 2026 – Present
Web-based study management platform for tracking tasks, schedules, and productivity.
View ProjectAI-Powered Audio Transcription Platform
June 29, 2026 – Present
Real-time speech-to-text transcription using OpenAI Whisper and Gradio.
View ProjectIMDB Sentiment Analyzer
June 29, 2026 – Present
Deep learning-based sentiment analysis for IMDB movie reviews using LSTM and Transformer models.
View ProjectAI Interview Evaluator
June 29, 2026 – Present
Intelligent system for evaluating interview responses using NLP, sentiment, and behavioral analysis.
View ProjectSmart Multimodal AI Chatbot
June 29, 2026 – Present
Multimodal chatbot integrating text, image, and contextual understanding using large language models.
View ProjectEcholingo AI Translator
June 29, 2026 – Present
Multilingual AI translator supporting speech and text with contextual understanding and emotion preservation.
View ProjectHybrid Transformer Models with BiLSTM Attention for Early Mental Health Detection
June 29, 2026 – Present
Framework combining Transformer architectures with BiLSTM and attention mechanisms.
View ProjectFake-or-Truth News Finder
June 29, 2026 – Present
Machine learning-based fake news detection system using NLP classifiers.
View ProjectArtificial Intelligence Simple Object Detection
June 29, 2026 – Present
Object detection using computer vision and deep learning techniques.
View ProjectExplainable Hallucination Detection in Large Language Models Using Retrieval-Augmented Verification and Attention Mechanisms
Unknown
June 1, 2026 – Present
Enhancing Reinforcement Learning Alignment via LLM-Based Interpretation of Human Natural Language Feedback
IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN)
January 1, 2026 – Present
A Large Language Model–Driven Reinforcement Learning Framework for Intelligent Employee Performance Optimization
IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN)
January 1, 2026 – Present
A Retrieval-Grounded and Novelty-Aware Framework for Research Idea Generation using Large Language Models
IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN)
January 1, 2026 – Present
A Transformer-Based Hybrid Framework for Early Detection of Depression and Suicidal Risk from Social Media Data
PECCII 2026
January 1, 2026 – Present
Intelligent Software Defect Prediction and Automated Code Review Using Large Language Models and Deep Learning
iCONEECT 2026
January 1, 2026 – Present
Deep Learning–Based Early Prediction of Depression and Suicidal Risk in Bangla Social Media Posts
IEEE 7th International Conference on Sustainable Technologies for Industry 5.0 (STI)
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's diverse range of personal AI/ML projects, from sentiment analysis to object detection and multimodal chatbots, indicates a broad interest and adaptability within the AI domain. Their involvement in an AI Engineering Bootcamp and multiple research publications further highlights a strong drive for growth and alignment with an innovation-focused culture. The internship experience, though brief, shows an ability to work within an organizational context. The target role of 'AI Engineer' is well-aligned with their demonstrated skills and project portfolio. However, the lack of team-based project details beyond the internship makes it difficult to fully assess their collaborative cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates a strong passion for continuous learning and problem-solving, as stated in their 'ABOUT' section. Their involvement in multiple personal projects and research publications suggests initiative and a proactive work attitude. The internship experience at Zensoft Lab indicates an ability to collaborate and integrate AI solutions into organizational workflows. However, the psychometric test score is 0, which is insufficient to assess logical reasoning, stress handling, and team collaboration effectively. The English test score of 47 suggests potential areas for improvement in communication clarity and professional language usage.