Hello!👋🏾

I'm Tcherno

Computer Science Engineer

About me

Always curious and eager to learn, I’m a Computer Science Engineer with a strong passion for Artificial Intelligence, mathematics, and intelligent systems. My interests span Machine Learning, Deep Learning, Generative AI, Natural Language Processing, Retrieval-Augmented Generation (RAG), and AI research. I enjoy combining theoretical foundations with hands-on experimentation to understand how modern AI systems learn, reason, and process information, and to turn research ideas into practical and scalable solutions. I’m particularly interested in challenging technical and research-oriented projects that bridge the gap between AI research and real-world applications.

Programming Mathematics Machine Learning Deep Learning NLP Data Engineering Cloud Computing Research

Selected Projects

Ilam: AI-Augmented Data Lakehouse Platform

Open source Data Lakehouse platform built at Sonatel to replace a Cloudera-based infrastructure, unifying high-performance storage, real-time stream processing, semantic transformation, and intelligent orchestration through a Medallion architecture, a LangGraph-powered multi-agent layer, and a full-stack observability-driven portal

DockerKubernetesMinIOTrinodbtIcebergAirflowFlinkKafkaRangerKeycloakPrometheusGrafanaLangGraphFastAPIReact

Séet: Semantic Enterprise Search Engine

Multimodal Retrieval-Augmented Generation (RAG) system for complex financial report analysis and question answering, combining dense semantic retrieval with vision-language understanding to extract insights from text, tables, and charts embedded in enterprise documents, indexed through ChromaDB and OpenSearch and evaluated end-to-end with the RAGAS framework

DockerPythonLLMsChromaDBClaude VisionBGE-M3OpenSearchRAGAS

Graphlens: Data Lineage Visualization Platform

Web application for managing and visualizing data table metadata and lineage relationships, modeling entities and dependencies as a property graph in Neo4j and traversing them with Cypher queries to surface upstream and downstream impact across complex data pipelines through an interactive Django-based interface

DjangoNeo4jNeomodelCypher

Artify: Neural Style Transfer Implementation

PyTorch implementation of Neural Style Transfer (Gatys et al. 2016), extracting hierarchical content and style representations from a pretrained VGG19 network, computing style loss via Gram matrices, and iteratively optimizing the generated image with L-BFGS, wrapped in a Streamlit interface for interactive experimentation

DockerPyTorchNeural NetworksVGG19Gram MatrixL-BFGSStreamlit

Tontuma: Visual Question Answering Platform

Streamlit Visual Question Answering (VQA) app powered by the Visual-and-Language Transformer (ViLT), jointly encoding image patches and natural language questions through a unified transformer architecture to deliver instant answers grounded in visual content, with no separate object-detection pipeline required

PythonViLTStreamlitVQA

Experience

Junior Data & AI Engineer

Sonatel ~ Orange

01/2026 - 06/2026

Designed and implemented an end-to-end Data Lakehouse architecture built on a Medallion pattern (Bronze/Silver/Gold), integrating scalable object storage, distributed query engines, streaming ingestion, semantic transformations, and workflow orchestration to replace a legacy Cloudera-based infrastructure.
Built an open-source data platform based on MinIO, Trino, Apache Iceberg, dbt, Apache Airflow, Kafka, and Flink, spanning 18 containerized services and covering ingestion, storage, transformation, and observability layers.
Integrated an agentic AI layer using LangGraph to enable adaptive pipeline monitoring, autonomous orchestration, and intelligent decision-making across the data platform.
Developed a custom multi-agent orchestration framework, based on a four-agent ReAct paradigm, for pipeline supervision, anomaly detection, and autonomous workflow optimization.

AI Engineering Intern

Sonatel ~ Orange

07/2025 - 12/2025

Designed and implemented a Retrieval-Augmented Generation (RAG) engine for semantic search within the MAXIN mobile application, enabling natural-language querying over enterprise content.
Developed an end-to-end document ingestion and indexing pipeline covering parsing, chunking, embedding, vector storage, retrieval, and automated evaluation.
Improved retrieval performance through optimized chunking strategies, hybrid retrieval techniques, and systematic LLM-based evaluation of answer relevance and faithfulness.

Data Engineering Intern

Sonatel ~ Orange

07/2024 - 11/2024

Designed and developed a data lineage web application for visualizing database dependencies and metadata across enterprise systems.
Modeled enterprise data relationships as a property graph in Neo4j, strengthening data traceability and governance capabilities.
Implemented Django backend services and Cypher graph queries to track data flows and transformations across systems.
Built an interactive interface for exploring lineage graphs and navigating data dependencies visually.

Education

Engineering Degree in Computer Science

École Polytechnique de Thiès (EPT)

2024 - 2026

Comprehensive engineering curriculum specializing in Computer Science, with a strong emphasis on software engineering, artificial intelligence, and data engineering
Completed industry internships and hands-on engineering projects in Data & AI at Sonatel/Orange Sénégal, culminating in a final-year Data Lakehouse platform project
Activities: Junior Polytech Competition, student journalism, Student Union

Preparatory Classes for Engineering Studies

École Polytechnique de Thiès (EPT)

2022 - 2023

Intensive foundation in mathematics, physics, statistics, and engineering sciences to prepare for the engineering cycle
Completed advanced coursework in computer science and programming, building the groundwork for later specialization in Data & AI
Activities: Fablab Manager, academic quiz competitions, athletics

High School Diploma Mathematics & Physics

Lycée Scientifique d'Excellence de Diourbel

2019 - 2021

Selective national excellence program focused on advanced mathematics and physics for top-performing students
Recipient of the National History Prize at the Concours Général Sénégalais
Activities: Mathematics & Physics Club, academic quiz competitions

Other things!

Outside of technology, you'll often find me reading, watching films, taking photographs, or exploring history and science. Driven by curiosity, I enjoy discovering new ideas and perspectives that broaden my understanding, challenge my thinking, and inspire creativity.