Software Engineer specializing in modern web applications and AI-powered systems
📍 Dhaka, Bangladesh (UTC+6)
📧 mst.tahminajerinarju@gmail.com
🔗 Portfolio · LinkedIn · GitHub
I'm a Software Engineer with hands-on experience building complete products — from clean React/Next.js frontends to scalable Node.js backends, databases, authentication systems, payment integrations, and AI/LLM features.
I enjoy owning features end-to-end: designing APIs, implementing secure auth, integrating vector databases and LLMs, handling deployments, and making sure the final product actually works well for users.
I also have a strong foundation in C, C++, Data Structures, and Algorithms, which helps me write efficient and well-structured code.
During my internships I built a multilingual agricultural chatbot with image-based disease detection, worked on RAG and LLM-based systems, and contributed to a real ERP platform. I also co-authored a research paper on AI chatbot adoption that was published in an international journal.
I'm currently focused on building production-ready full-stack applications and practical AI integrations (RAG, agents, and multimodal systems).
ML Engineer Intern · Software Intelligence Ltd.
Feb 2025 – May 2025
- Built a multilingual Bangla Agricultural Advisor Chatbot supporting text, voice, and image-based crop disease detection
- Implemented Bengali NLP pipeline, image classification models, Bangla OCR, and embedding-based retrieval with ChromaDB
- Managed the complete ML pipeline, REST API integration, and model deployment on AWS
AI/ML Researcher Intern · Time Research & Innovation
Dec 2024 – Mar 2025
- Developed LLM-based AI chatbots with interactive features
- Applied federated learning techniques for privacy-preserving model training
- Automated data preprocessing pipelines and supported model evaluation & optimization
Software Project Developer Intern · Goinnovior Limited
Feb 2024 – Jun 2024
- Developed a MERN-based ERP system with scalable backend APIs and role-based access control
- Implemented core business modules and improved overall system performance
- Collaborated with cross-functional teams on requirement analysis, development, and testing
🧠 DocuMind AI — RAG Document Chat System
An AI-powered web application that lets users upload PDF documents and ask questions in natural language. Instead of manually searching through long files, users get direct answers with source citations.
Key Features:
- Full RAG pipeline: PDF extraction → chunking → embeddings → semantic search (ChromaDB) → answer generation (Groq Llama 3.3 70B)
- Source citations so users can verify every answer
- JWT authentication, password hashing, and protected routes
- Mobile-responsive UI with drag-and-drop upload and real-time chat
Tech Stack: React, TypeScript, Node.js, Express, MongoDB, ChromaDB, Groq Llama 3.3, Docker
🔧 FixItNow — Service Booking Platform
A full-stack platform that connects customers with verified technicians. Users can browse services, book appointments, and pay online in one flow.
Key Features:
- Role-based access (Customer, Technician, Admin) with dedicated dashboards
- Secure authentication using NextAuth.js
- Online payments integrated with Stripe
- Responsive design built with Next.js and Tailwind CSS
Tech Stack: Next.js, TypeScript, Tailwind CSS, Node.js, Express, MongoDB, NextAuth.js, Stripe
A platform that allows users to check real-time availability of sports facilities and book time slots without double-booking issues.
Key Features:
- Real-time availability checking
- Conflict prevention for overlapping bookings
- JWT authentication and role-based access control
- Optimized backend queries for better performance
Tech Stack: Node.js, Express, TypeScript, MongoDB
A multilingual chatbot designed to help farmers in Bangladesh. Supports text queries, voice input, and image-based crop disease detection.
Key Features:
- Bengali language support (text + voice)
- Image classification for disease detection
- Advice generation based on detected issues
Tech Stack: Django, TensorFlow, Bengali NLP, OCR
Languages: JavaScript, TypeScript, Python, C, C++, SQL
Frontend: React, Next.js, Tailwind CSS
Backend: Node.js, Express.js, REST APIs
Databases: MongoDB, PostgreSQL, MySQL, Redis, ChromaDB (Vector DB)
AI / ML: LLMs, RAG, Hugging Face, TensorFlow, Keras, Scikit-learn, LangChain, NLP
Core CS: Data Structures, Algorithms
Tools & DevOps: Git, Docker, AWS, Vercel, Render, CI/CD, Jira
MSc in Computer Science
Independent University, Bangladesh
Sep 2024 – Aug 2025
BBA in Management Information Systems (MIS)
Independent University, Bangladesh
May 2019 – Apr 2024
Minor: Big Data and High-Performance Computing
Investigating the Factors Affecting the Intention to Use AI Chatbots in STEM Education: A Hybrid SEM and ANN Approach
European Journal of STEM Education, Vol. 11, Issue 1 · June 2026 (Co-author)
- Applied a hybrid SEM + ANN approach to study AI chatbot adoption among students
- Analyzed ICT self-efficacy, self-directed learning, and perceived ease of use across 117 participants
I'm open to Full-Stack Engineer and AI Engineering opportunities where I can build useful products and continue growing.