Shck Tchamna, PhD

Target roles: AI Engineer, ML Engineer, MLOps Engineer, Data Engineer, Math/Physics/Technology Teacher

AI Engineer, Data Scientist, and interdisciplinary educator building production-ready ML systems, scalable data pipelines, and multilingual AI tools for real-world impact.

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Highlights

Click to view demo or code.

RAG AI Foundations Demo

Live Demo

Implemented an end-to-end RAG system: data ingestion, chunking, embeddings, vector store, and evaluation (faithfulness/answer relevance) with prompt variants.

View Projects Core Skills About Me Download Resume

Projects

A collection of my work in AI, ML and software engineering.

LLMRAGVector DBLangChain

RAG AI Foundations Demo

Implemented an end-to-end RAG system: data ingestion, chunking, embeddings, vector store, and evaluation (faithfulness/answer relevance) with prompt variants.

Demo Code

Document AINLPRAGWeb App

Document Intelligence Platform

Document AI web app for extracting, searching, and managing structured information from documents, with an end-to-end pipeline and production UI.

Demo Code

Computer VisionAzureDeep LearningWeb App

African Object Recognition

A computer vision application deployed on Azure designed to recognize and classify distinct African objects, artifacts, and cultural items. Demonstrates end-to-end model deployment and real-time inference capabilities.

Demo

NLPSpeech SynthesisPythonDeep Learning

African Text-to-Speech

Built a multilingual TTS pipeline for African languages: curated phoneme/tokenization, trained/fine-tuned neural TTS models, and evaluated naturalness/intelligibility.

Demo Code

Generative AIMultimodalVideo ProcessingPython

Resulam Video Generator

Designed a modular text-to-video pipeline: script generation, TTS, frame generation, shot assembly, and post-processing (ffmpeg), with reproducible configs.

Code

Data EngineeringETLTime SeriesPython

Financial Trading ETL

Built a production-ready ETL for market data: ingestion, validation, feature generation (lags/indicators), partitioned storage, and monitoring.

Code

About Me

I am an interdisciplinary educator, AI engineer, and data scientist with a PhD in Mechanical and Aerospace Engineering and over a decade of experience building data-driven solutions. My work spans automated pipelines, advanced analytics, predictive modeling, multilingual AI, and mission-driven products that expand access to knowledge for under-resourced communities. I am especially motivated by work that improves people's lives, creates measurable social impact, and brings compassion into the design of technology.

Key Expertise

10+ years building automated data pipelines, advanced analytics, and predictive models across research and production settings
Experienced across machine learning, NLP, computer vision, MLOps, and project-based STEM education
Founder and mission-driven leader advancing low-resource language revitalization and inclusive access to knowledge

Connect

I'm always open to discussing new opportunities, collaborations, or just chatting about AI and tech.