Tchamna.
Available for hire

Shck Tchamna, PhD

Target roles: AI Engineer, ML Engineer, MLOps Engineer, Data Engineer

AI Engineer & Data Scientist — building cloud-first, production-ready ML systems, scalable ETL pipelines, and multilingual NLP solutions at scale.

Highlights

Browse highlighted projects — clicking opens the demo (or code).

RAG AI Foundations Demo

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.

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.
View ProjectsCore SkillsAbout MeDownload Resume

Projects

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

RAG AI Foundations Demo
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.

DemoCode
African Object Recognition
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
African Text-to-Speech
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.

DemoCode
Resulam Video Generator
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
Financial Trading ETL
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
Bike Rental Prediction
Classical MLXGBoostRegressionData Analysis

Bike Rental Prediction

Delivered a clear ML case study: feature engineering, XGBoost tuning, cross-validation, error analysis, and SHAP-based interpretability for demand forecasting.

Code

About Me

PhD-trained Data Scientist & Computational Linguist skilled in multilingual NLP, machine learning, and scalable data pipelines. Author of 80+ multilingual books and developer of an automated video content generation platform. Passionate about social justice and preserving endangered languages.

Key Expertise

  • 10+ years building cloud-based data workflows, ETL, and ML systems for high-volume sensor data
  • Expertise: Python, AWS, Kubernetes, microservices, distributed data processing
  • PhD-level modeling for autonomous driving, ADAS analytics and real-time sensor environments

Connect

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

Read more about me →