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    I'm

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

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

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✦ Full-Stack AI Engineer ✦ Machine Learning ✦ NLP ✦ MLOps ✦ Agentic RAG ✦ LLM Fine-Tuning ✦ Vector Databases ✦ Full-Stack AI Engineer ✦ Machine Learning ✦ NLP ✦ MLOps ✦ Agentic RAG ✦ LLM Fine-Tuning ✦ Vector Databases
About Me

Who Am I?

I'm Md Hasan Imon — an experienced AI/ML Engineer from Bangladesh specialising 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, and CI/CD with Backend-as-a-Service (BaaS), I ensure every system is enterprise-ready, modular, and deployable across real-world environments. My work bridges deep technical design with business impact — enabling organisations to harness AI for smarter decisions, scalable automation, and real competitive advantage.

bash — emon@ubuntu:~

emon@ubuntu:~$ python run_profile.py

AI Engineer

ML Engineer

NLP Engineer

Backend & MLOps

30+ projects delivered successfully — let's build something great!

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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 Systems

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

Model Fine-Tuning & Optimisation

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

Autonomous & Tool-Augmented Reasoning

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

Supervised / Unsupervised DL

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

Model Deployment & MLOps

Deploying scalable ML models using Streamlit, FastAPI, Docker, and CI/CD pipelines.

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My Specialty

My Skills

Artificial Intelligence & Agentic AI

LangChain LangGraph LangSmith AgentOps Agentic RAG Multi-Agent Systems Agent Orchestration Reasoning & Planning Tool Calling Long-Term Memory CrewAI & AutoGen

LLM Fine-Tuning & Training

PEFT LoRA & QLoRA SFT & RLHF DPO Quantization Instruction Tuning vLLM Optimization Mixed Precision Model Evaluation

NLP & Representation Learning

Transformers Hugging Face SentenceTransformers Embeddings Semantic Search Tokenization (BPE) Attention Mechanisms NER & POS spaCy & NLTK

Machine & Deep Learning

PyTorch TensorFlow Scikit-learn CNN & RNN LSTM & GRU XGBoost & LightGBM Hyperparameter Tuning Transfer Learning Neural Architectures

Data Science & Analysis

NumPy & Pandas EDA & Wrangling Statistical Analysis Hypothesis Testing Matplotlib & Seaborn Feature Engineering Time Series Analysis Plotly Interactive

Vector Databases & Retrieval

FAISS ChromaDB Pinecone Qdrant Milvus Weaviate Redis Retrieval Hybrid Search

Software Engineering

Python & C++ TypeScript / JS FastAPI & Flask PostgreSQL & NoSQL REST & WebSockets React & Vite TailwindCSS OOP & Design Patterns

Deployment & MLOps

Docker & Compose CI/CD Pipelines GitHub Actions AgentOps Monitoring & Logging MLflow & W&B Linux / Nginx AWS / GCP
Background

Education

Pursuing BSc in Computer Science and Engineering from City University, Dhaka, Bangladesh. Specialised 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).

Honors & Awards
4× Consecutive Scholarship

Awarded four consecutive scholarships for outstanding excellence in Machine Learning and project performance.

Merit Scholarship

Recognised with a Merit Scholarship for outstanding academic excellence throughout the degree.

During this phase I focused entirely on academic excellence in science subjects including Physics, Chemistry, Mathematics, and Biology. This period laid the foundational knowledge and discipline that later shaped my journey into AI/ML engineering.

Successfully completed the SSC under the Dinajpur Board, laying the academic foundation in core subjects — the starting point of my educational journey.

Career

Work Experience

Machine Learning Engineer @ AutoMetaHQ April 2026 – Present | London, UK (Remote)

Engineering high-performance data pipelines and architecting large-scale data handling systems for production AI environments. Optimizing end-to-end ML workflows, including the design and training of advanced neural architectures. Implementing state-of-the-art LLM fine-tuning and training strategies to maximize efficiency, accuracy, and latency. Streamlining data-centric optimization and deploying robust inference pipelines using cloud-native infrastructure.

Junior Machine Learning Engineer @ Codixel January 2026 – Present | Dhaka, Bangladesh

Architecting production-grade multi-agent AI systems and agentic workflows using LangGraph and AgentOps orchestration. Engineering tool-augmented pipelines for complex data retrieval and integrating memory-driven reasoning systems. Specializing in LLM fine-tuning and optimization for specialized domains, including intelligent financial advisors and medical assistants, ensuring high-fidelity outputs and efficient training cycles.

Intern Machine Learning Engineer @ Hi-TechParks October 2025 – December 2025 | Dhaka, Bangladesh

Designing and deploying backend-centric AI/ML systems, focusing on scalable data pipelines and RAG workflows. Implementing end-to-end inference services, optimizing model performance, and managing modular AI backends using Python. Streamlining data preprocessing and model serving layers to ensure efficient, high-performance execution in production environments.

Portfolio

Recent Work

All Artificial Intelligence Machine Learning Data Science

Multi-Agent

MediGenius

Enterprise-grade medical AI system using LangGraph orchestration, retrieval grounding, tool routing, and doctor-like reasoning pipelines.

HumanLoop VectorDB RAG LangGraph FastAPI LLM

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Fine Tuning & NLP

InformaTruth

Fine-tuned multi-agent fake news detection system with explainable AI, RAG verification, source validation, and trust-aware reasoning.

Fine-Tuned LLM Multi-Agent VectorDB LangGraph AgentOps NLP

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Data Science

BookSage AI

Hybrid recommendation engine combining collaborative filtering, content-based intelligence, ranking optimization, and scalable personalization. with TF-IDF and KNN.

Collaborative-Filtering KNN TF-IDF Scikit-Learn Pandas Flask

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Fine-Tuning LLM

Translatica

Fine-tuned English → Spanish Translation System using Seq2Seq Transformers with LoRA/PEFT optimisation. context-aware generation, and production-ready multilingual inference.

Transformers LoRA PEFT Seq2Seq HuggingFace FINE TUNING

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Agentic RAG

AutoDocThinker

Agentic RAG that ingests PDFs, DOCX, URLs, and raw text into a Hybrid Search index (BM25 + RRF + CrossEncoder), then answers 4 selectable LangGraph workflows — Naive, Advanced, CRAG, and Self-RAG.

bm25 corrective-rag advanced-rag self-rag Agentic-AI crag

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Classification/Regression

FraudChurn-Nexus

Fraud Churn Nexus — Multimodal AI system detecting E-commerce fraud and predicting customer churn using cutting-edge Machine Learning and data engineering techniques.

EDA Feature-Engineering Scikit-Learn Pandas Matplotlib Prediction

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Agentic AI

TrueWealth-AI

Your AI-Powered Financial Strategist — multi-agent system with memory-driven reasoning, portfolio analysis, market analysis, and adaptive decision workflows.

Agentic-AI LangGraph RAG Vector-DB FastAPI Memory

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Deep Learning

Factify

Fact-checking and data verification pipeline with deep learning models, explainable predictions, statistical analysis, visualisation, and automated insight generation.

Statistical-Analysis Data-Viz Pandas Seaborn Plotly Insights

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Articles

Recent Blog

TrueWealth-AI: Agentic Financial Strategist
August 10, 2025 · Agentic AI · 7

TrueWealth-AI: Building an Agentic Financial Strategist

How I designed a multi-agent system (Planner, Tool, Memory) with LangGraph to analyse portfolios, fetch market data via tools, and deliver explainable, goal-aware recommendations.

MediGenius: Medical AI Assistant
July 22, 2025 · Applied AI · 5

MediGenius: Tool-Augmented Clinical Reasoning

Inside the architecture: symptom triage agent, retrieval-augmented grounding on medical guidelines, citation fidelity checks, and fallback policies to maintain safety.

InformaTruth: News Authenticity Analyser
June 30, 2025 · Fine-Tuning · 6

InformaTruth: Verifying News with Fine-Tuned LLMs

A walkthrough of my pipeline for claim parsing, fine-tuning, reranking, and structured evidence scoring — plus how I log traces and evaluate reliability with AgentOps.

Credentials

Certifications

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Stanford University via Coursera

Machine Learning Specialisation

Specialisation AI & ML
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Univ. of Michigan via Coursera

Programming for Everybody

Certificate Python
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Google via Coursera

Google UX Design Professional Certificate

Professional Cert. UX Design
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Google via Coursera

Google IT Support Professional Certificate

Professional Cert. IT Support
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Get in Touch

Contact

Gmail
Email emon.mlengineer@gmail.com
Location Savar, Dhaka, Bangladesh
Phone +880 1834-363533
WhatsApp +880 1834-363533
LinkedIn Md Emon Hasan
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