MD EHSANUL HAQUE Full-Stack & AI Engineer | Published Researcher (Taylor & Francis) | Lead Developer at BetaScript LLC

Lead Developer at a US-based digital agency delivering production React apps driving ~$2K daily revenue. AI Engineering Intern building RAG pipelines and agentic workflows. Published Researcher with Taylor & Francis book chapter on Medical BERT architectures. 3x Dean's List (3.89 CGPA), 36+ GitHub stars.

EXPERIENCE
Lead Developer⁠, BetaScript LLC
  • Leading development at a US-based digital agency, delivering 4 production React websites including IndianClayPit — a restaurant platform driving ~$2K daily revenue with active users
  • Building with React 19, TanStack Start, TailwindCSS, and Vite; handling full project lifecycle from architecture to deployment on Netlify, plus SEO optimization and UI/​UX design
  • 01/26 – PresentRemote (USA)
  • Tech: React 19, TanStack Start, TailwindCSS, Vite, Netlify, SEO
  • Building production-grade AI systems including RAG pipelines for academic resources using vector databases (Pinecone, ChromaDB) and agentic workflows with LangChain/​LlamaIndex
  • Developing FastAPI backends, engineering advanced prompts for curriculum-aligned tutoring, and optimizing embedding strategies and retrieval accuracy
  • 02/2026 – 05/26Dhaka, Bangladesh
  • Tech: Python, LangChain, LlamaIndex, Pinecone, ChromaDB, FastAPI
  • EDUCATION
    Bachelor of Science in Computer Science & Engineering, American International University-Bangladesh⁠

    - CGPA: 3.89/4.00 | 3x Dean's List | Full Academic Scholarship

    - 1st Runner-Up, CS Fest 2024 App Showcase (20+ teams)

    2022 – OngoingDhaka

    - Coursework: ML, NLP, Computer Vision, Database Systems, Software Engineering

    GPA: 5.00 / 5.00 | Science | Rajshahi Board

    2019 – 2021Bogura
    PUBLICATIONS
    Decoding Research Trends: A Clustering Based Topic Modeling Framework, IEEE QPAIN 2026

    Accepted at IEEE QPAIN 2026 (IEEE Xplore, Scopus Indexed). Proposes a clustering-based topic modeling framework for analyzing and decoding research trends from large-scale academic literature.

    2026
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    Beyond NER: Medical BERTs for Multi-Label ADR Classification, Taylor & Francis Book Chapter IDAA 2025

    Benchmarked 5+ Medical BERT architectures (BioBERT, PubMedBERT, ClinicalBERT) on PsyTAR dataset. Achieved SOTA multi-label ADR classification using fine-tuned LLMs with attention mechanism analysis for healthcare NLP.

    11/2025
    PROJECTS
    Spotify Sentiment Analysis⁠, Python, scikit-learn, NLTK

    - Engineered NLP pipeline: 52,702 reviews → 85-90% accuracy with TF-IDF + MultinomialNB

    - 17-task ML workflow with 5,000+ features | MIT Licensed

    08/2025 – 09/2025

    Developed an optimized, cross-platform web scraping system using Python and Scrapy to collect and clean news articles from major Bangladeshi newspapers. Implemented high-performance batch runners, date-range filtering, logging, monitoring, and automated data export to Excel/​CSV with a unified database design.

    2024
    Skills
    Machine Learning & NLP

    PyTorch, Hugging Face Transformers, BERT, BioBERT, scikit-learn, NLTK, TF-IDF, LLM Fine-tuning

    Programming Languages

    Java, Python, C++, Kotlin, C#, SQL, JavaScript

    Backend & Databases

    MySQL, SQLite, SQL Server, JDBC, Connection Pooling, REST APIs, FastAPI, 3NF Database Design

    DevOps & Tools

    Git, GitHub, Linux, Docker, Jupyter, Neovim, CMake

    Awards
    Published Research Author, Taylor & Francis (IDAA 2025)

    Authored peer-reviewed book chapter benchmarking 5+ Medical BERT architectures for multi-label ADR classification. Achieved SOTA results on PsyTAR dataset using PyTorch and Hugging Face.

    12/2025
    1st Runner-Up App Showcase, AIUB CS Fest 2024

    Outperformed 20+ competing teams with Unreal Engine desktop game development. Demonstrated technical proficiency in game design and physics and delivered winning pitch to industry judges.

    04/2024
    References
    NUZHAT TABASSUM, ASSISTANT PROFESSOR OF DEPARTMENT OF COMPUTER SCIENCE, American International University-Bangladesh
    SHAIKAT DAS JOY, LECTURER OF DEPARTMENT OF COMPUTER SCIENCE, American International University-Bangladesh
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