About me

Machine Learning & Data Engineer with 4.5+ years of experience designing, training, and deploying scalable data pipelines and computer vision models.

IBM Certified in RAG & Agentic AI with experience building local RAG applications and familiarity with LangGraph, CrewAI, and GCP data engineering services.

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, Playwright, 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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    Data Engineering & Pipelines

    Designing ETL/ELT pipelines and data models, and building data warehouses using BigQuery and MySQL for large-scale data mining and analysis.

Resume

Experience

  1. Software Engineer – Research & Development (Data & ML) | Tiger IT Bangladesh Ltd.

    June 2023 - Present

    • ALPR Pipeline: Developed and optimized a two-stage YOLOv8-based ALPR pipeline for license plate detection and character recognition. Audited a training dataset containing over 1 million character annotations, correcting mislabeled samples, removing duplicates, and balancing class distributions through augmentation, improving character detection recall by approximately 30% during internal model evaluation while maintaining a very low false-positive rate.
    • Biometric Fingerprint Pipeline: Evaluated deep learning and minutiae-based fingerprint embedding approaches for biometric authentication, benchmarking DeepPrint against traditional feature-based methods to identify the most suitable production architecture.
    • Medical Imaging (Hip Dysplasia): Fine-tuned and evaluated a deep learning model for hip dysplasia detection using hospital-provided X-ray datasets, incorporating advanced preprocessing techniques to improve prediction consistency and reduce image artifacts.
    • Face Recognition Based Attendance System: Developed a face-recognition attendance system by building an embedding storage pipeline, integrating searchable databases for identity retrieval, and supporting downstream attendance analytics.
    • FaceMorphing: Engineered a 3-stage face-morph pipeline (filter → pair → morph) generating bona fide and morphed face image datasets for single-image morphing attack detection (S-MAD) research.

  2. Automation Engineer (Rendering Pipeline & Computer Vision) | Endangered Labs

    Jan 2022 - May 2023

    • Rendering Automation: Designed an end-to-end ETL and rendering pipeline generating 200 variations for 2,300+ digital assets, eliminating memory bottlenecks to reduce batch rendering time from 3 days to 1 day while tripling throughput.
    • Image Optimization Research: Reduced an image collection size from 700MB to 8MB with minimal quality loss, significantly reducing cost for Bitcoin blockchain inscription.
    • Global Collaboration: Collaborated with a global (US-based) team to define data extraction and transformation requirements, optimize workflow bottlenecks, and ensure compatibility across the full automated pipeline, aligned with business objectives.
    • 3D Model Export with Multi-Platform Support: Built automation tooling for exporting and transforming 3D model data across multiple platform formats and performing manual validation, streamlining content production and reducing repetitive manual work across the asset generation pipeline.

  3. Intern (E-Nothi Department) | a2i Programme

    Feb 2020 - Mar 2020

    • Verified and appended data for 1000+ educational institutions in the national education database, ensuring 100% data accuracy.
    • Built a summary dashboard across multiple institutional metrics, supporting data-driven reporting for the department.

Technical Skills

AI & Machine Learning

PyTorch TensorFlow OpenCV Scikit-learn

Generative AI & LLMs

LangChain LangGraph CrewAI AG2 RAG Architectures Vector Databases Ollama Prompt Engineering

Data Engineering & Pipelines

ETL/ELT Design Data Modeling Data Warehousing BigQuery MySQL Data Mining

Development & Automation

Python (OOP) REST APIs Playwright PyAutoGUI

Cloud & DevOps

GCP (Cloud Data Engineering) Docker Linux Git (Version Control)

Analytics & Visualization

Tableau Pandas NumPy Matplotlib Seaborn Statistical Analysis

Training & Certifications

  1. IBM Data Engineering Professional Certificate

    Coursera.org (Jul 2026) See Certificate

    Completed 16-course series covering ETL/ELT pipelines, SQL, Data Warehousing, NoSQL, Apache Spark, Airflow, Kafka, and Big Data engineering.

  2. Preparing for Google Cloud Certification: Cloud Data Engr

    Coursera.org (Nov 2025) See Certificate

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

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

    Coursera.org (Oct 2025) See Certificate

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

  4. 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

Education

  1. 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

  2. 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