Phone Number
+91 75598 73761
Mohamed Shaad
I'm a
Motivated by a deep interest in transforming data into intelligent solutions, I specialize in Natural Language Processing, Generative AI, and AI Agents—enabling systems that understand, generate, and take meaningful actions.
Get to Know Me
Passionate about Generative AI, Agentic AI and AI Automation
I'm a dedicated problem solver driven by curiosity and a love for building impactful digital experiences. With a strong foundation in data science, AI, and software development, I thrive at the intersection of creativity and logic.
I enjoy turning complex challenges into elegant, scalable solutions and am always eager to learn, collaborate, and contribute to meaningful innovations that shape the future.
Specialization
NLP, Generative AI & Agentic AI
Experience Level
Mid-level Professional
Education
Masters, Loughborough University
Languages
English, Malayalam, Hindi
Skills
Machine Learning and Deep Learning
Supervised Learning, Model Evaluation, Hyperparameter Tuning,Time Series Forecasting, Neural Networks (CNN, LSTM)
Skilled in applying advanced machine learning techniques for predictive modeling, including time-dependent data analysis and deep learning architectures.
Natural Language Processing (NLP)
Text Preprocessing, Tokenization, Named Entity Recognition (NER),Sentiment Analysis, Prompt Engineering
Experienced in building robust NLP pipelines using advanced text processing, entity extraction, sentiment analysis, and prompt engineering techniques.
Generative AI & AI Agents
LangChain, LlamaIndex, LangGraph,Retrieval-Augmented Generation (RAG), Ollama, crewAI, Model Context Protocol (MCP), Smolagents
Proficient in building agentic and RAG-based AI systems using frameworks like LangChain, LlamaIndex, and LangGraph, with hands-on experience in orchestration tools such as Ollama, crewAI, MCP, and Smolagents.
Programming & Libraries
Python, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, NLTK, spaCy, TensorFlow, Pytorch, Hugging Face Transformers
Well-versed in Python and its data science and ML ecosystem, including libraries for data manipulation, visualization, NLP, deep learning, and transformer-based models.
Databases, Vector Databases & Cloud Storage
PostgreSQL, MySQL, MongoDB, Pinecone, FAISS, Chroma, AWS RDS, AWS S3.
Experienced in working with relational, NoSQL, and vector databases, leveraging tools like PostgreSQL, MongoDB, FAISS, Pinecone, and cloud storage solutions such as AWS RDS and S3.
Deployment & MLOps
FastAPI, Docker, Git, GitHub Actions (CI/CD), AWS (EC2, ECR), MLflow
Skilled in deploying and managing ML applications using FastAPI, Docker, and MLflow, with CI/CD pipelines via GitHub Actions and scalable infrastructure on AWS (EC2, ECR).
Cloud & Tools
AWS, Google Colab, Jupyter Notebooks, VS Code
Proficient in using cloud platforms and development environments like AWS, Google Colab, Jupyter Notebooks, and VS Code for building, testing, and deploying data science solutions.
Resume
Professional Summary
Machine Learning Engineer specializing in NLP, LLM-based systems, and Generative AI, with experience building production-grade AI pipelines, agentic workflows, and scalable ML applications. Skilled in automation, AWS deployment, and developing intelligent search, scoring, and RAG-based solutions that drive measurable business impact.
Contact Information
- Kozhikode, Kerala, India
- shaadclt@gmail.com
- +91 75598 - 73761
- linkedin.com/mshaadk
- github/shaadclt
Professional Experience
Machine Learning Engineer
Jul 2024 - Present
Neuranize, Remote - India
- Reduced manual research effort by 65% by designing an agent-driven LLM workflow using LangGraph to interpret natural-language queries and generate optimized MongoDB pipelines.
- Automated outreach workflows by building an LLM-powered message generation system, reducing manual campaign preparation time by 70% and improving outreach scalability.
- Improved campaign setup efficiency by 50% through an LLM-based influencer matching system that performed semantic profiling and relevance-based ranking.
Data Scientist
Feb 2024 - Jun 2024
Metridash, Remote - India
- Achieved ~90% next-word prediction accuracy by designing and training an LSTM-based language model with optimized preprocessing and inference workflows.
Data Pipeline Developer - Intern
Sep 2023 - Dec 2023
HiPER Automotive, Remote - India
- Increased customer engagement by 25% by designing and deploying an automated communication alert system.
Software Analyst - Apprentice
Feb 2023 - Mar 2023
Atlas Analytics, Remote - Singapore
- Boosted lead acquisition efficiency by 20% by contributing to the development of a B2B data intelligence platform.
Education
Data Science Bootcamp
2022 - 2023
Packapeer Academy, India
Specialized in Machine Learning, Deep Learning and Artificial Intelligence.
Master of Science in Aeronautical Engineering
2011 - 2012
Loughborough University, United Kingdom
Portfolio
Driven by curiosity and built on experience. I specialize in crafting intelligent, data-driven solutions that solve real-world problems. From machine learning models to AI-powered applications, each project reflects clarity, impact, and continuous learning.
Generative AI
Agentic Adaptive RAG
Agentic Adaptive RAG is an end-to-end, production-grade RAG system that dynamically adapts retrieval and reasoning through self-evaluation to deliver reliable, context-aware answers.
View details →
Generative AI
Agent-Based Scheduling System
An event-driven, agent-based scheduling system that applies structured reasoning and controlled tool execution to intelligently automate discovery and appointment coordination workflows.
View details →
Generative AI
Hybrid Search RAG
A production-ready hybrid retrieval RAG system that combines BM25 and dense semantic search with Pinecone and Llama 3 on Groq to deliver fast, highly relevant answers.
View details →
NLP
Fine-Tuning DistilBERT for Emotion Classification
Fine-tuned DistilBERT for multi-class emotion classification and deployed it as a production-ready web application with real-time inference.
View details →
NLP
End-to-End Text Summarization
Built a production-grade end-to-end abstractive text summarization system using PEGASUS, featuring modular ML pipelines, automated training and evaluation, and cloud deployment with CI/CD on AWS.
View details →Contact
Feel free to reach out for collaborations, questions, or just to say hello—I'll get back to you as soon as I can.
Contact Info
Reach me via email or phone using the details below.
Email Address
shaadclt@gmail.com
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