Muhammed Shameel

Muhammed Shameel

AI & Data Science Engineer
UAE
English, Malayalam
Internship Remote

About Me

AI & Data Science Engineer with an MSc in Data Science & Business Analytics and a BSc in Mathematics, combining strong statistical foundations with hands-on experience in machine learning, deep learning, and generative A…

Experience

Applied AI Intern

InfoCreon Solutions Private Limited · Ernakulam , Kerala , India
Sep 2026 - Oct 2026 · 29 days

<p>Contributed to an enterprise AI platform that transforms operational documents and support tickets into reusable, governed knowledge for support investigation.</p><p> Worked across AI workflows, knowledge processing, evidence-grounded reasoning, LLM integration, validation, auditability, and full-stack development using FastAPI and React.</p>

Agentic AI Intern

InfoCreon Solutions Private Limited · Ernakulam , Kerala , India
Jul 2026 - Sep 2026 · 1 month

<p>Architected Agentic AI workflows using LangGraph and Python to coordinate multi-agent tasks, manage state transitions, and execute RAG pipelines.</p><p> Containerized AI applications with Docker and deployed services across cloud platforms using Git, Render, and Vercel.</p>

Cloud & Data Visualization Engineering Intern

InfoCreon Solutions Private Limited · Ernakulam , Kerala , India
May 2026 - Jun 2026 · 1 month

<p>Developed backend Python services and engineered targeted prompts to optimize LLM outputs and data processing workflows.</p><p> Built FastAPI endpoints to serve model predictions and deployed containerized services using Docker, Render, and Vercel.</p>

Mathematics Tutor

InfoCreon Solutions Private Limited · Kozhikode , Kerala , India
Jul 2023 - Mar 2024 · 7 months

<p>Delivered personalized one-on-one mathematics instruction to high-school students.</p><p> Translated complex mathematical concepts into clear, structured problem-solving frameworks to improve student understanding.</p>

PROJECTS

AI-Assisted Operations Support Intelligence Platform

Infocreon Solutions
Duration : 01-Sep-2026 - 12-Oct-2026

<p>Developing an enterprise AI platform that transforms operational documents and historical support tickets into governed, reusable knowledge. Building document ingestion, evidence-grounded reasoning, lifecycle and governance workflows, and engineer feedback mechanisms using FastAPI and a React interface. Incorporating a provider-neutral AI gateway, deterministic fallback mechanisms, auditability, and automated regression and semantic validation to improve reliability and traceability.</p>

Grocery AI — Grounded Nutrition Knowledge Assistant

Personal Project · https://github.com/Muhammed-Shameel/Grocery-AI
Duration : 04-Jul-2026 - 28-Sep-2026

<p>Developed a grounding-focused AI knowledge assistant combining RAG, hybrid retrieval, ChromaDB vector search, and specialized agents for retrieval, relevance validation, and response generation. Implemented structured PDF extraction, semantic chunking, metadata enrichment, and cosine-similarity checks to improve evidence-grounded answers. Integrated a computer vision classification pipeline to connect visual inputs with relevant knowledge retrieval, and built a FastAPI backend with a user-facing interface.</p>

Flood Exposure Intelligence Board

Infocreon Solutions · https://github.com/Muhammed-Shameel/Flood-Intelligence-Dashboard
Duration : 01-May-2026 - 04-Jun-2026

<p>Built a flood exposure intelligence prototype combining a Gradient Boosting regression model with a FastAPI backend and a Next.js interface. Developed an interactive dashboard using synthetic flood-related data to demonstrate predictive analysis, exposure assessment, and decision-support workflows. Containerized the application with Docker and configured frontend and backend deployment using Vercel and Render.</p>

CSIRO Image2Biomass — Predictive Modelling

Personal Project · https://github.com/Muhammed-Shameel/CSIRO-Biomass-Prediction-using-Machine-Learning
Duration : 11-Oct-2025 - 05-Dec-2025

<p>Developed a predictive modelling pipeline for biomass estimation from spectral imagery, experimenting with MSE, Huber, and LogCosh loss functions. Built a weighted ensemble to improve prediction stability across heterogeneous data distributions and applied hyperparameter optimization and custom model blending. Achieved an R² score of 0.86 on the project's designated cross-validation splits.</p>

Certifications

TIBCO Data Science and Business Analytics

Asia Pacific University of Technology and Innovation · Kuala Lumpur , Federal Territory , Malaysia · 2025

Skills

Python SQL Pandas NumPy Scikit-learn PyTorch Keras TensorFlow Data Cleaning EDA Feature Engineering Predictive Modelling Classification Clustering CNNs Model Evaluation LLMs RAG Embeddings Semantic Search Hybrid Retrieval LangGraph Multi-Agent Workflows Prompt Engineering FastAPI Docker Render Vercel AWS Fundamentals Git Matplotlib Seaborn Tableau
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