Wassim Abida

Accurate and lightning-fast document parsing API for fast-growing SaaS companies My missions are: - Leveraging AI power & inference at scale for our clients - Interfacing with other teams regarding the SLA and revolutionizing our stack - Help data scientists gain autonomy on the release process & automating processes - Developing of internal resources and core projects such as : * Vector databases (pgvector + RDS) * Monitoring and observability python apps * Microservices (FastAPI, Flask) * Sync / Async interfaces between platform and inference stack - Harnessing LLM power for our use cases

Building Next Generation editing tools for Creator Economy! ** 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐚𝐥𝐢𝐬𝐞𝐝 𝐌𝐋 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐬 - Supporting a Team of 7 Data, Applied & Research Scientists in delivering computer vision models to the production phase. - Serving AI models for video editing through plugins on Adobe Premiere Pro - Trained and up-skilled data scientists on DevOps, clean code, containerization - Responsible for AI models life cycle monitoring, building ML libraries & setup internal ML frameworks ** 𝐃𝐞𝐬𝐢𝐠𝐧𝐞𝐝 𝐚𝐧𝐝 𝐢𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐞𝐝 𝐞𝐯𝐞𝐧𝐭-𝐛𝐚𝐬𝐞𝐝 𝐝𝐚𝐭𝐚 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞𝐬 - Developed cloud-based asynchronous Python job for 1K assets collection weekly from external API (AWS SNS / SQS / lambda) - Implemented software engineering practices into ML projects: code development life-cycle, continuous integration, and delivery, packaging, testing, logging, monitoring

Within FieldBox.ai, we help industries improve their operational efficiency thanks to artificial intelligence. - Solve complex customer issues using Scientific, Data & Software approaches - Lead Data Science oriented projects in close collaboration with clients while ensuring compliance with project constraints and deadlines - Help customers get to the of their data and deploy the following concepts: API, REST, microservices, PaaS, Cloud, and DevOps Directed projects are about: -- Designing & Integrating Computer Vision powered solutions in Web-based applications to respond to downstream tasks such as Identifying & detecting defects in sewer pipes, alerting on steam leakages in industrial factories. -- Optimizing processes & improving ROI within Oil&Gas leaders companies. -- Orchestering maintenance operations for French railways monitoring/maintenance company.

Within HyperCube, a pioneer company by BearingPoint for Cloud and Data services, I took on a challenging project targeting the monitoring of industrial processes through the study of their evolutionary models based on time series data. My work mainly focused on: - In-deep analysis of time series data and insights extraction - Analyzing and modeling complex industry processes behaviors through time series data - Benchmarking Machine Learning and Deep Learning algorithms for time series prediction -- Application on artificially generated data, open source data and industrial data sets -- Targeted models: --- Statistical based models: ARIMA, SARIMA --- Machine Learning: XGboost, LightGBM, ElasticNet --- Neural Nets: LSTM, CNN - Solution integration within HyperCube's platform - Developing a central reporting tool based on cloud solutions to process, explore and visualize data - Deploying Restful APIs for information exchange -- Tech items: serverless, Flask for API deployment Docker, boto3, AWS solutions (CloudWatch, EC2, ECR, Lambda, API Gateway, Athena, S3) Python: Scikit, scipy, Tensorflow, Keras, XGboost, plotly, dash... - Growing expertise on Scrum Method and project management strategies within IT groups

Happy to have made part of the Harold Waste family, a young startup developing solutions to accelerate the transition toward a circular economy. During my internship, I have the chance to widen my knowledge in Machine Learning, Deep Learning, object recognition and programming interface development. The internship highlights - Data processing - Feature engineering - Semi-supervised classification - Clustering (unsupervised classification) - Transfer Learning (VGG16 pre-trained, AlexNet...) - Flask API for Deep Learning model usage In-depth article: https://medium.com/harold-waste/this-article-is-the-fruit-of-my-internship-within-harold-waste-a6c7d9d95711 Startup web page: https://www.haroldwaste.com/

I'm grateful I had the chance to work with an amazing team and to participate in conducting various projects. During this period, I have fully invested in the various tasks such as expenditure tracking, budget preparation and execution, relations with sponsors and suppliers, and disseminate financial reports .. while demonstrating initiative, professionalism and commitment. I believe this position has brought me a considered experience in financial flow management and contact with professional environment. Conscientious, available and responsive, I was an exemplary collaborator who brought the satisfaction of the club.

This experience in Mediterranean Equipment within Groupe Loukil brought me a lot. It allowed me to make contact with the realities of the industrial field, to notice how much the company is concerned with the satisafaction of her clients and the quality of her image. This internship was very enriching on the technical level, I had the chance to develop my knowledge in automotive mechanics, in computer science and I learned some notions in the field of agriculture and resource management. I was able to analyze the hierarchy and the relations between the different employees within the company. I put myself more and more in the shoes of the workers and I became aware of what such position might induce as a fatigue. I think I can now better understand the reactions of workers to a particular situations. To have these realities in the mind can only be an advantage for a future engineer.