Hasan Imon

Hi!
I'm Hasan Imon

Designing full-stack AI solutions that learn, reason, and act autonomously.

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I am
Full-Stack AI/ML Engineer.

Empowering the future with AI that thinks, learns, and collaborates.

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About Us

Who Am I?

I'm Md Hasan Imon an experienced AI/ML Engineer from Bangladesh, specializing in Machine Learning, NLP, Deep Learning, Generative AI, LLM Fine-Tuning (LoRA/QLoRA), Agentic RAG Pipelines, and Vector Databases. Over multiple production-grade projects, I’ve designed and deployed end-to-end, multi-agent, tool-augmented AI systems that deliver measurable business outcomes through reasoning, automation, and intelligence at scale.

With strong proficiency in FastAPI, Flask, Docker, CI/CD and frontend development, I ensure every system is enterprise-ready, modular, and deployable across real-world environments. My work bridges deep technical design with business impact — enabling organizations to harness AI for smarter decisions, scalable automation, and real competitive advantage.

AI Engineer

ML Engineer

NLP Engineer

Front-End & MLOps

I am happy to know you
that 30+ projects done sucessfully!

Hire me

What I do?

my expertise

Full-Stack AI/ML Engineering

Designing end-to-end AI/ML pipelines from data to deployable applications.

Generative AI & Agentic AI Systems

Crafting modular agentic workflows with memory-integrated generative AI architectures.

Model Fine-tuning & Optimization

Fine-tuning LLMs using LoRA, QLoRA, PEFT, and quantization techniques.

Autonomous & Tool-Augmented Reasoning Systems

Enabling intelligent decision-making via tools, memory, and multi-agent planning.

Supervised/Unsupervised Learning With DL

Building intelligent systems using structured, labeled, and unlabeled datasets efficiently.

Model Deployment & Operation

Deploying scalable ML models using Streamlit, FastAPI, and local servers.

Cups of coffee

Projects

Clients

Partners

My Specialty

My Skills

I specialize in building full-stack, real-world AI/ML systems using cutting-edge technologies such as Agentic AI, LangGraph, LLM Orchestration, and Multi-Agent Architectures. My work focuses on intelligent planning, reasoning, and tool-augmented AI assistants.

Python, Scikit-Learn, Tensorflow

95%

PyTorch, Transformers (HuggingFace)

90%

LangGraph, CrewAI, Autogen, AgentOps

90%

Fine-tuning (LORA, QLoRA, PEFT, SFT)

90%

Database, Vector DB, RAG

95%

FastAPI, Flask, React, Node.js

85%

Education

Bachelor Degree of Computer Science and Engineering

Pursuing BSc in Computer Science and Engineering from City University, Dhaka, Bangladesh. Specialized in Software engineering principles with a focus on real-world applications.

Actively building industry-grade AI systems, participating in research, and contributing to open-source AI/ML projects during academic years (2022 – 2025).

Higher Secondary Certificate (HSC)

During this phase, I focused entirely on academic excellence in science subjects including Physics, Chemistry, Mathematics, and Biology. While I did not engage in extracurricular activities at this stage, this period laid the foundational knowledge and discipline that later shaped my journey into AI/ML engineering.

Secondary School Certificate (SSC)

Successfully completed the Secondary School Certificate under the Dinajpur Board, laying the academic foundation in core subjects. This stage served as the starting point of my educational journey.

Experience

Work Experience

Jr. Machine Learning Engineer @ Hi-TechParks June 2025 – September 2025

Designed, developed, and deployed AI/ML models using Python, TensorFlow, and PyTorch for production-grade applications. Built and maintained RAG and multi-agent AI systems to solve enterprise use cases, ensuring modularity and scalability. Implemented data preprocessing, feature engineering, and model optimization pipelines that improved performance and inference efficiency. Collaborated with AI and MLOps teams to integrate models into CI/CD workflows using Docker and FastAPI/Flask, delivering reliable, production-ready solutions.

My Projects