About me

Machine Learning & Data Engineer with 4+ years of experience designing, training, and deploying scalable data pipelines and computer vision models.

Proven track record of automating workflows to reduce processing times from months to weeks, and achieving over 97% accuracy in object detection deployments. Expertise includes statistical analysis (GCP, BigQuery and Tableau), creating dynamic dashboards, and building Retrieval-Augmented Generation (RAG) applications.

My Professional skills

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    Data Engineering & Analysis

    Designing scalable ETL pipelines, processing large datasets using GCP, BigQuery, and building dynamic Tableau dashboards for actionable insights.

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    Generative AI & LLMs

    Building intelligent Agentic AI systems and secure RAG-powered applications using LangChain, LangGraph, CrewAI, and AG2.

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    Machine Learning & Computer Vision

    Designing, optimizing, and deploying high-accuracy object detection, tracking, and face recognition models using PyTorch and YOLO.

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    Web Scraping & Automation

    Developing robust automation pipelines and web scrapers using Python, Selenium, and REST APIs to extract and process complex data.

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    3D Workflow Automation

    Creating automated workflows for 3D asset generation, scaling production capabilities, and processing metadata using Blender API and Python.

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    Backend & Distributed Systems

    Architecting production-grade, scalable backend systems capable of handling concurrent operations, ensuring database consistency with MS SQL and MongoDB.

Resume

Experience

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

    June 2023 - Present

    • Improved fingerprint authentication accuracy by refining fingerprint segmentation, denoising, and background removal, and applying innovative machine learning methods 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.
    • Evaluated, optimized, and deployed a YOLOv8-based tracking and detection model, achieving over 97% accuracy in production and a 10% increase in processing speed to drive operational efficiency.
    • Engineered and deployed a face recognition-based attendance system and built automated KPI dashboards for employees, streamlining the check-in process and improving tracking accuracy.

  2. Automation Engineer | Endangered Labs

    Jan 2022 - May 2023

    • Designed and implemented a robust ETL automation pipeline to process metadata for thousands of unique digital assets, scaling production capabilities and reducing end-to-end processing time from several months to just a few weeks.
    • Collaborated with a global team to design and modify initial characters, ensuring full compatibility across the end-to-end automated process.
    • Designed and implemented automation process for exporting 3D models in various versions to support other platforms.

  3. Intern | a2i Programme

    Feb 2020 - Mar 2020

    • Verified and appended data for 1000+ educational institutions in the national education database.
    • Collaborated with the data integrity team to resolve mismatches, ensuring 100% data accuracy.
    • Made dashboard with summary of the institutions of different metrics.

Technical Skills

Machine Learning & AI

LangChain LangGraph PyTorch TensorFlow FastAI Hugging Face ONNX OpenVINO OpenCV Scikit-learn

Data Analysis & Visualization

Pandas NumPy Matplotlib Seaborn Tableau Looker Studio ETL Data Mining Statistical Analysis BigQuery

Databases

MySQL MongoDB MS SQL

Development & Automation

Blender 3D Flask REST APIs Selenium PyAutoGUI Git Docker Linux

Training & Certifications

  1. IBM RAG and Agentic AI: Build Next-Gen AI Systems

    Coursera.org (Oct 2025)

    Completed 8 course professional certificate with in depth knowledge about LLM and their advanced uses.
    Skills: LangChain, LangGraph, RAG, Vector Databases, CrewAI, AG2, BeeAI

  2. Dokkho Data Science Program

    MasterCourse Bangladesh Ltd. (Nov 2022 – May 2023)

    Completed 4 capstone projects in NLP, computer vision, and analytics.
    Skills: Tableau, PyTorch, Selenium, OpenCV, Flask, Huggingface, NLP, Model Deployment, FastAI, TensorFlow

  3. Preparing for Google Cloud Certification: Cloud Data Engr

    Coursera.org (Nov 2025)

    Identify the purpose and value of the key Big Data and Machine Learning products in Google Cloud.

Education

  1. M.Sc. in Information Systems Security | Bangladesh University of Professionals

    Ongoing

    M.Sc. in Information Systems Security

  2. B.Sc. in Information and Communication Engineering | Bangladesh Army University of Engineering & Technology

    Feb 2017 — Jul 2021

    Completed B.Sc in Information & Communication Engineering. CGPA: 3.56

  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. Collected and annotated the dataset; fine-tuned InceptionNetV2 for classification.

Achievements

  1. 2nd Runners-Up — BAUET Intra University Programming Contest

    Competed among 100+ teams in the university programming contest.

  2. Top 15 — Sheikh Kamal Incubation Center Startup Contest

    Selected among 150+ teams in the startup contest.

  3. 1st Place — Skill Quiz 2.0 by Youth Development Factory

    Won 1st place in the University Category.

Portfolio