AI/NLP Engineer - Python/Django Developer - Systems Builder

Designing practical AI systems for Bangla NLP, intelligence, and automation.

I develop production-oriented AI, backend, and data systems that transform unstructured information into reliable insights, workflows, and decision-support tools.

Bangla NLP Django APIs Data Pipelines ML Dashboards

About

Applied AI engineer with strong product-building experience.

I specialize in building applied AI and intelligence systems, with a focus on Bangla NLP, transformer fine-tuning, Django and Node.js backends, data pipelines, and automation platforms. My work involves collecting and normalizing complex web, news, social, and media data, applying ML/NLP analysis, and delivering actionable insights through dashboards, APIs, and operational workflows.

Best-fit roles AI/NLP Engineer, Python/Django Developer, ML Engineer, Data/Intelligence Systems Builder
Languages Bangla / Bengali, English

Technical Skills

From ML models to production-style web systems.

AI / NLP

Experienced with transformer-based NLP workflows, Hugging Face, PyTorch, BanglaBERT/ELECTRA, classification, named entity recognition, sentiment analysis, emotion detection, and event extraction.

Backend / APIs

Build scalable backend services with Python, Django, Django REST Framework, Flask, Node.js, Express, ASGI/Daphne, authentication, RBAC, REST APIs, and admin dashboards.

Data / Databases

Work with PostgreSQL, SQLite, MongoDB, Redis, pandas, NumPy, scikit-learn, joblib, structured datasets, ETL pipelines, and data normalization workflows.

Frontend / Product

Develop clean, data-focused interfaces using React, Vite, TypeScript fundamentals, Tailwind CSS, Bootstrap, Chart.js, Recharts, analytics dashboards, and real-time progress views.

Automation / Scraping

Create automation and scraping systems with Docker, Docker Compose, Selenium, Playwright, Telethon, ffmpeg, OpenCV, WebSockets, background workers, schedulers, and Git/GitHub workflows.

Systems Direction

Design systems for news intelligence, social monitoring, election intelligence, event pipelines, campaign automation, task/workflow APIs, and media analysis use cases.

Selected Systems Projects

Selected work in AI, backend engineering, automation, and applied ML.

Some professional projects are presented only at a high level due to confidentiality requirements.

Confidential Monitoring PlatformDjango - DRF - PostgreSQL

Data Monitoring and Workflow System

Built a secure internal system for normalized data management, configurable collection workflows, analytics outputs, dashboard operations, and REST API integration. Sensitive project details are intentionally omitted.

Scraper SuitePython - Selenium - Docker

All in One Scraper

A distributed scraping suite for collecting data from Bangladeshi news portals, Facebook, X/Twitter, YouTube, TikTok, Telegram, and Google News sources.

Video AIDjango - React - OpenCV - ffmpeg

Reel Maker

An AI-assisted video processing tool that analyzes long-form videos, identifies high-potential moments from audio, motion, visual change, and subtitle patterns, and exports vertical short-form clips.

Automation ProductNode.js - React - MongoDB - OpenAI

WhatsApp Automation System

A full-stack WhatsApp automation platform with QR-based authentication, AI-assisted replies, campaign scheduling, contact management, media support, analytics, and real-time updates.

Database ToolDjango - PostgreSQL - Chart.js

MultiBase

A web-based PostgreSQL administration console for managing databases, users, connection strings, table views, storage metrics, and monitoring charts.

Workflow BackendNode.js - Express - SQLite - JWT

Workflow API

A role-based workflow backend covering users, teams, tasks, confidential assignments, submissions, comments, attachments, notifications, reports, and audit logs.

Utility AppFlask - Docker

ImageStash

A lightweight, Dockerized image hosting and management application designed for straightforward local development and containerized deployment.

Published AI Work

Bangla NLP models and datasets for real information-extraction use cases.

Sentimotion

Joint Bangla Sentiment and Emotion Model

A multi-task Bangla NLP model that uses a shared encoder with dedicated prediction heads for sentiment and emotion classification.

BanglaTag

Bengali Named Entity Recognition Model and Dataset

A Bengali NER model and aligned token-tag dataset covering persons, locations, organizations, political entities, events, crimes, and related entity types.

News + Event NLP

Crime Event Detection and Bangla News Topic Classification

Bangla news models for topic classification and structured crime-event extraction, including event type, location spans, time spans, and article-level outputs.

Job Experience

Professional experience in software development and IT systems.

Current Role

IT Officer (Software Developer)

A Govt. Organization

Dhaka

November 2022 - Present
  • Develop Django-based applications, internal systems, data workflows, and operational software solutions.
  • Build and maintain backend logic, dashboards, database-backed features, automation workflows, and deployment-ready web applications.
Software Developer

Software Developer (Django Developer)

AR Integrations & Solution Ltd. (ARIS)

Tally Office, 17/1, Sonatangor, Jhigatola, Dhaka 1209

October 2021 - May 2022
  • Developed Django-based software modules, backend features, database models, and web application functionality.
  • Contributed to full-stack implementation, debugging, feature delivery, and ongoing application maintenance.
Internship

Software Developer Intern (Django Developer)

Winmac System

Gorib-e-Newaz, Uttara

July 2021 - October 2021
  • Supported Django development tasks, web application features, database operations, and software debugging.
  • Gained hands-on experience with professional software development workflows and backend application architecture.

Contact

Interested in AI/NLP, Django, automation, or intelligence-system roles.

Available for remote, hybrid, or onsite opportunities in AI/NLP engineering, Python/Django development, machine learning, data and intelligence systems, and full-stack software development.