Machine Learning & AI Solutions
Specialized in building cutting-edge Large Language Models (LLMs) and innovative AI solutions for next-generation applications.
MD AL AMIN TOKDER
Software Engineer (AI/ML)
Specialized in building cutting-edge Large Language Models (LLMs) and innovative AI solutions for next-generation applications.
Software Engineer (AI/ML)
Specialized Solutions in AI & Machine Learning
Custom LLM development and fine-tuning for specific business needs
End-to-end AI solution development for complex business problems
Full-stack development with focus on AI integration
Academic Background
2018 - 2022
2016 - 2018
Major: Science2014 - 2016
Major: ScienceTechnologies & Expertise
Experience & Achievements
Designed and developed Agentic AI systems using Large Language Models (LLMs), tool-calling frameworks, and autonomous decision-making pipelines. Built and optimized AI-powered search engines utilizing semantic search, embeddings, vector databases, and intelligent retrieval techniques. Developed RAG-based recommendation systems to improve information retrieval, personalization, and user experience. Engineered production-ready AI applications, including enterprise chatbots, conversational AI platforms, and AI assistants. Implemented end-to-end Retrieval-Augmented Generation (RAG) pipelines with document processing, chunking strategies, embeddings, reranking, and evaluation frameworks. Automated e-commerce workflows using AI-driven solutions to increase operational efficiency and reduce manual effort. Developed scalable web scraping and data extraction pipelines for platforms such as Indeed, Upwork, and other external data sources. Researched, evaluated, and integrated emerging AI technologies to improve system performance, accuracy, scalability, and business value.
Designed and deployed AI-driven business applications using Generative AI, Large Language Models (LLMs), AI Agents, and Retrieval-Augmented Generation (RAG) systems to enhance automation and decision-making. Built a Medical Diagnosis AI Chatbot using LangChain, LangGraph, and multi-agent architectures for contextual reasoning and intelligent responses. Integrated OpenAI, Gemini, and LLaMA2/3 models into enterprise workflows and business solutions. Developed real-world AI applications leveraging prompt engineering, tool calling, and agentic workflows. Improved operational efficiency through workflow automation, MLOps pipelines, and cloud-based AI deployments. Collaborated on enterprise AI solutions focused on scalability, reliability, and business impact.
Developed and optimized ML pipelines for training & inference, fine-tuning LLMs for the Chatbot SRS Generator • Built Luna, a decentralized AI chatbot leveraging LLMs & Generative AI with federated learning with 85% query resolution accuracy. • Developed an AI-powered Prescription Handler with OCR/HTR + LLMs, automating prescription digitization and improving efficiency. • Applied LoRA fine-tuning and distributed ML techniques to enhance scalability, robustness, and cost-effectiveness.
Implemented enterprise solutions for Prime's Content Experiment Platform using Fastapi, MySQL, HTML, CSS, and JS. • Designed and developed scalable systems for marketing optimization experiments. • Gained early hands-on experience with AI model training and dataset-driven development.
Recent Work & Achievements
Personal finance tracker with an AI assistant for natural-language expense logging, income/expense dashboards, and spending analytics
Multi-section e-commerce platform spanning beauty, eye care, handmade products, art & craft, and home decoration
AI-powered SRS document generator using fine-tuned language models
Automated prescription processing system using OCR and ML models
Advanced language model implementation with decentralized architecture
Machine learning model for predicting heart disease risks
Anti-ragging platform for educational institutions
Java-based application for tracking student health metrics
Comprehensive hall management system for university
Books, Chapters & Academic Papers
Advancements in Forensic Science Using AI and Deep Learning
Series: Criminal Justice, Law Enforcement and Corrections; Cybercrime and Cybersecurity Research
BISAC: LAW041000; COM099000; MED030000
DOI: https://doi.org/10.52305/OIDG0672
Explores how AI, deep learning, and emerging technologies are transforming forensic science and strengthening the justice system.
View Book on Nova Science PublishersFront Cover
Back Cover
Author List
Recognition & Achievements
Let's Discuss Your Next Project
alamintokdercse@gmail.com
+8801750206042
Dhaka, Bangladesh