About me

Machine Learning Engineer with 2+ years of experience in designing, training, and deploying computer vision and NLP models, including achieving >95% accuracy in YOLOv8 object detection deployments.

Skilled in Python, PyTorch, TensorFlow, REST APIs, and data analytics, with a strong portfolio of projects in CV, NLP, and data engineering. Adept at building scalable ML pipelines, performing statistical analysis, and transforming raw data into actionable business insights.

My Professional skills

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    Data Science

    Finding insights from huge datasets and using machine learning techniques to extrapolate new information.

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    Machine Learning

    Designing, implementing and optimizing a machine learning solution to detect face or any objects.

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    Web Scraping

    Making a robust webscraping bot using selenium webdriver to interact or collect information from various websites.

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    Blender Automation

    Automating complex and repetitive tasks using python scripting or creating/modifying existing addons in Blender

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    NFT Generation

    Generating thousands of high quality and unique NFTs using Blender in image,3D model or animations with metadatas.

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    Game and AR/VR App Development

    Creating games & describing the design, development and release of a game. Developing unique android and iOS games.

Daniel lewis
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Daniel lewis

Richard was hired to create a corporate identity. We were very pleased with the work done. She has a lot of experience and is very concerned about the needs of client. Lorem ipsum dolor sit amet, ullamcous cididt consectetur adipiscing elit, seds do et eiusmod tempor incididunt ut laborels dolore magnarels alia.

Resume

Experience

  1. Software Engineer (R&D) | Tiger IT Bangladesh Ltd.

    June 2023 - Present

    • Developed an algorithm to extract fingerprint minutiae data to improve model accuracy.
    • Improved fingerprint authentication accuracy by applying innovative machine learning methods, while also refining fingerprint segmentation, denoising, enhancement, and background removal to streamline the identification process.
    • Developed ML-based disease detection system for hip dysplasia using image analysis and visualization techniques, enhancing diagnostic precision. Incorporated advanced preprocessing methods to reduce errors and improve disease identification accuracy.
    • Developed and deployed a YOLOv8-based license plate detection model, achieving >95% detection accuracy in production environments.

  2. Intern | a2i Programme

    Feb 2020 - Mar 2020

    • Verified and appended data for 1,000+ educational institutions in the national education database.
    • Collaborated with the data integrity team to resolve mismatches, ensuring 100% data accuracy.

Education

  1. Masters | Bangladesh University of Professionals

    Ongoing

    Enrolled in the course of Information and Systems Security

  2. Bachelors | Bangladesh Army University of Engineering & Technology

    2017 — 2021

    Completed B.Sc in Information & Communications Engineering.

  3. HSC | BAF Shaheen College, Dhaka

    2014 — 2016

    Completed my HSC from BAF Shaheen College

Publications

  1. Violence Classification and Detection Using Regional Data of Bangladesh: An AI Approach

    My B.Sc thesis paper published in BAUET Journal in which I've collected and annotated the dataset.

Portfolio