Machine Learning & Data Science Portfolio
Passionate about extracting actionable insights from data and architecting cutting-edge AI solutions. Specializing in NLP, Transformers, CNNs, LangChain, LlamaIndex, and advanced SQL workflows to solve complex real-world challenges.
About Md Tareq Shah Alam
Bridging the gap between cutting-edge AI research and scalable, production-grade intelligent systems.
Md Tareq Shah Alam
AI / ML Engineer & Data Scientist
Passionate about architecting Agentic AI & Neural Systems
Hello! I'm Md Tareq Shah Alam, a Machine Learning Engineer and Data Scientist specializing in autonomous multi-agent workflows (LangGraph, LangChain), Large Language Model fine-tuning & RAG architectures, and deep computer vision systems.
With a strong grounding in mathematics, statistics, and high-performance engineering, I focus on turning complex neural networks into low-latency, scalable production endpoints that solve real-world problems.
Agentic RAG & LangGraph
Multi-agent graphs, state management & tool orchestration.
LLM Fine-Tuning & Quantization
LoRA/QLoRA optimization with TensorRT & vLLM acceleration.
Computer Vision & CNNs
Residual deep networks & high-resolution feature extraction.
Production MLOps & Vector DBs
Containerized FastAPI microservices & high-speed vector retrieval.
AI & Machine Learning Tech Stream
A focused, continuous moving stream of modern AI frameworks, LLM tools, deep learning neural networks, and vector data systems.
LangGraph
Agentic AI
• Multi-Agent State Graph
LangChain
Agentic AI
• Tool Orchestration
LLM & Fine-Tuning
Generative AI
• LoRA / QLoRA & vLLM
AI Agents
Autonomous Systems
• Goal Decomposition
Hugging Face
Transformers Hub
• Model Hub & Tokenizers
NLP & Embeddings
Semantic NLP
• Vector Search & NER
Python
Core AI Language
• PyTorch & NumPy
Computer Vision
Deep Learning
• Residual CNNs
PostgreSQL & Vector
Vector Database
• pgvector Similarity
SQL & Analytics
Data Pipelines
• Feature Extraction
Docker / MLOps
MLOps
• GPU/CUDA ContainerLangGraph
Agentic AI
• Multi-Agent State GraphLangChain
Agentic AI
• Tool OrchestrationLLM & Fine-Tuning
Generative AI
• LoRA / QLoRA & vLLMAI Agents
Autonomous Systems
• Goal DecompositionHugging Face
Transformers Hub
• Model Hub & TokenizersNLP & Embeddings
Semantic NLP
• Vector Search & NERPython
Core AI Language
• PyTorch & NumPyComputer Vision
Deep Learning
• Residual CNNsPostgreSQL & Vector
Vector Database
• pgvector SimilaritySQL & Analytics
Data Pipelines
• Feature ExtractionDocker / MLOps
MLOps
• GPU/CUDA ContainerLangGraph
Agentic AI
• Multi-Agent State GraphLangChain
Agentic AI
• Tool OrchestrationLLM & Fine-Tuning
Generative AI
• LoRA / QLoRA & vLLMAI Agents
Autonomous Systems
• Goal DecompositionHugging Face
Transformers Hub
• Model Hub & TokenizersNLP & Embeddings
Semantic NLP
• Vector Search & NERPython
Core AI Language
• PyTorch & NumPyComputer Vision
Deep Learning
• Residual CNNsPostgreSQL & Vector
Vector Database
• pgvector SimilaritySQL & Analytics
Data Pipelines
• Feature ExtractionDocker / MLOps
MLOps
• GPU/CUDA ContainerExperience & Neural Tree
A branch-by-branch synaptic evolution of production machine learning systems, multi-agent reasoning, and academic background.
Lead AI / ML Engineer & Researcher
AI Intelligence Labs & Autonomous Systems• Remote / Dhaka
Architecting enterprise-grade agentic workflows, multi-agent state machines, and fine-tuning open-weights LLMs for low-latency production deployment and automated reasoning.
Machine Learning Specialist & Data Scientist
Neural Vision & Predictive Solutions• Remote / Dhaka
Engineered end-to-end deep learning models for NLP semantic search and convolutional neural networks (CNNs) for high-resolution visual feature classification.
Data Intelligence & Analytics Engineer
Core Data & Algorithmic Systems• Remote / Dhaka
Designed robust statistical predictive models, feature engineering pipelines, and optimized relational PostgreSQL schemas for machine learning datasets.
Hold down the neural vault to unlock the AI Chatbot or launch the CLI Terminal
HOLDProjects & Research
Explore my production-ready AI/ML architectures, autonomous agent workflows, and technical research publications.
Autonomous Agentic RAG Pipeline
Enterprise multi-agent retrieval and reasoning engine combining LangChain, LlamaIndex, and Groq/Llama-3 for high-throughput semantic search and knowledge extraction across dense document vaults.
Transformer-based Neural NLP Suite
Production-grade Natural Language Processing architecture featuring custom domain-adapted BERT & RoBERTa models for multi-class intent recognition, entity extraction, and sentiment analytics.
Deep Vision & CNN Anomaly Detector
Real-time Computer Vision deep learning pipeline utilizing modern Convolutional Neural Networks (CNNs) and transfer learning for high-precision visual inspection and automated anomaly segmentation.
Get In Touch
Interested in Machine Learning research, generative AI pipelines, or technical consultation? Send me a verified message directly.
Md Tareq Shah Alam
Machine Learning Engineer & Data Scientist
Passionate about architecting end-to-end Machine Learning systems, fine-tuning Large Language Models, and building autonomous agentic AI workflows with PyTorch, LangChain, and Transformers.