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• 🧑🏻 Hi, I'm Mihai, a skilled 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫 with 4 𝐲𝐞𝐚𝐫𝐬 of expertise in 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐢𝐧𝐠, 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐥𝐞𝐚𝐝𝐢𝐧𝐠 𝐞𝐧𝐝-𝐭𝐨-𝐞𝐧𝐝 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬. Experienced in developing and optimizing computer vision pipelines involving image processing and recognition, object detection and segmentation in 2D and 3D.Proficient in Python, I maintained high coding standards across 10+ 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬. I collaborated with 3+ 𝐜𝐫𝐨𝐬𝐬-𝐟𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐚𝐥 𝐭𝐞𝐚𝐦𝐬 while staying current with industry advancements to enhance product performance and reliability. I am delivering impactful, data-driven solutions to high-tech organizations and clients. So far, I've had the privilege to contribute to impactful and complex projects from various areas, like:𝐀𝐮𝐭𝐨𝐦𝐨𝐭𝐢𝐯𝐞 • 𝐅𝐨𝐨𝐝 𝐒𝐜𝐢𝐞𝐧𝐜𝐞𝐬 • 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 • 𝐑𝐞𝐦𝐨𝐭𝐞 𝐒𝐞𝐧𝐬𝐢𝐧𝐠 • 𝐏𝐨𝐥𝐢𝐭𝐢𝐜𝐬 • 𝐑𝐞𝐭𝐚𝐢𝐥•⚙️I am skilled in:✔️ 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧:Python, NumPy, OpenCV, PyTorch, Keras, Scikit-Learn, Vision Language Models, Transformers, Diffusion Models, NLTK, 2D & 3D tasks, Roboflow, HuggingFace✔️ 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Plotly, Seaborn, Mapbox, Matplotlib, D3.js✔️ 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞:Pandas, PySpark, HDFS, PostgreSQL, SQL, SQLAlchemy, Apache Hive & HBase, Apache Kafka, OpenStreetMap, NetworkX, GeoJSON, GeoPandas, GIS, Vector Databases✔️ 𝐌𝐋𝐎𝐩𝐬:Git, Docker, Kubernetes, Linux, Weights & Biases, Terraform, Poetry, CI/CD✔️ 𝐖𝐞𝐛 & 𝐂𝐥𝐨𝐮𝐝:Google Cloud Platform, HTML, CSS, FAST API, JavaScript, Selenium• 🎓 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐌𝐒𝐜 @ 𝐄𝐏𝐅𝐋• 🏡 Remote work, 𝐨𝐧𝐥𝐲 !• 📧 Reach me at: davidmihai9805@gmail.com• 💬 Book a meeting with me on Calendly: https://calendly.com/mihai-david/personal-meeting
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FreelancerRemote WorkTimișoara, Tm, Ro
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Lead Computer Vision EngineerLengo Ai Nov 2023 - PresentDakar Region, Senegal𝐋𝐞𝐧𝐠𝐨𝐀𝐈 is a startup that delivers the 𝐟𝐢𝐫𝐬𝐭 𝐀𝐈-𝐃𝐫𝐢𝐯𝐞𝐧 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐨𝐧 𝐂𝐨𝐧𝐬𝐮𝐦𝐞𝐫 𝐆𝐨𝐨𝐝𝐬. My contributions were:⚫️ Developed a feature-training-inference (FTI) geo-mapping pipeline for locating consumer packaged goods stores in African cities.⚫️ Engineered the entire system architecture, from data retrieval and labelling, model deployment, training and optimization, predictions post-processing, to client deliverables⚫️ Enhanced the speed of geo-mapping of a new area by a factor of 10 and saved significant financial resources by optimizing geo-mapping processes, reducing reliance on fieldwork⚫️ Implemented a pipeline for transforming smartphone-captured images into consumer goods catalogue items using background removal and orientation detection algorithms, decreasing the time for manual corrections by 200% -
Computer Vision ResearcherNestlé Sep 2023 - Mar 2024Lausanne, Vaud, SwitzerlandI developed my 𝐌𝐚𝐬𝐭𝐞𝐫'𝐬 𝐓𝐡𝐞𝐬𝐢𝐬 in collaboration with 𝐍𝐞𝐬𝐭𝐥é 𝐈𝐧𝐬𝐭𝐢𝐭𝐮𝐭𝐞 𝐨𝐟 𝐇𝐞𝐚𝐥𝐭𝐡 𝐒𝐜𝐢𝐞𝐧𝐜𝐞𝐬. My contributions were:⚫️ Created a novel semi-supervised method, for instance, segmentation on food images based on pseudo-labels alignment in pre-trained vision transformers.⚫️ Explored state-of-the-art architectures like Vision Transformers and the latest learning frameworks like Self-Supervised Contrastive Learning, Knowledge Distillation and pre-training of Vision Language models.⚫️ Studied the effect of synthetic food data obtained from a diffusion-based model on the semi-supervised segmentation model.⚫️ Built a zero-shot instance segmentation pipeline based on zero-shot detectors and classifiers and compared the results with the supervised and semi-supervised methods on food data. -
Data Science InternKera Health Platforms Inc. Jul 2023 - Sep 2023Dakar, Dakar Region, Senegal𝐊𝐞𝐫𝐚 is an 𝐀𝐈-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐜𝐨𝐧𝐧𝐞𝐜𝐭𝐢𝐧𝐠 𝐡𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐩𝐫𝐨𝐯𝐢𝐝𝐞𝐫𝐬 𝐚𝐧𝐝 𝐜𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐢𝐞𝐬 for healthier lives in Senegal and beyond. My contributions were:⚫️ Created the first nationwide health facilities accessibility statistic per region and transport type, using self-curated datasets based on open-source data and the Open Buildings dataset.⚫️ Designed and optimized the data ingestion and storage pipeline using PlusCodes, Route Matrix API, GeoPandas and NetworkX.⚫️ Developed a web interface for querying closest health facilities by travel time using FastAPI, GeoAlchemy, and PostgreSQL on Google Cloud Platform. -
Student AssistantÉcole Polytechnique Fédérale De Lausanne Feb 2023 - Jun 2023Switzerland⚫️ Co-ordinated Image Analysis and Pattern Recognition lab activities -
Student AssistantÉcole Polytechnique Fédérale De Lausanne Feb 2023 - Jun 2023Switzerland⚫️ Facilitated lab activities for Large-Scale Data Science course
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Machine Learning ResearcherContinental Dec 2019 - Aug 2021TimisoaraAs part of the 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐃𝐫𝐢𝐯𝐞𝐫 𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐜𝐞 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 team, I focused on traffic participant detection. My contributions were:⚫️ Conducted comprehensive literature review of 2D and 3D Object Detection research papers.⚫️ Engineered CNN-based architectures for sensor fusion input mainly based on RADAR and camera.⚫️ Improved implementation by 10 mAP (25%) using late sensor fusion and refining the training/testing pipelines.⚫️Conducted in-depth analysis of automotive datasets with a focus on nuScenes and KITTI, while using Versioning Control systems for data and code throughout the experiments. -
Teaching AssistantPolitehnica University Of Timisoara Feb 2021 - Jun 2021Timişoara, Timiş, Romania⚫️ Computer Aided Mathematics course -
Teaching AssistantPolitehnica University Of Timisoara Sep 2020 - Feb 2021Timişoara, Timiş, Romania⚫️ Modeling and Simulation course
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Software DeveloperCarl Zeiss Mes Solutions Gmbh May 2019 - Aug 2019Timisoara⚫️ Built a Library Management System using Oracle Database and Guardus Engine for mastering their internal engine.⚫️ Developed additional PL/SQL packages along with required functions and procedures for manipulating multiple internal databases.
Mihai David Education Details
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Mihai David works for Remote Work
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Mihai David's current role is Freelancer.
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Mihai David's email address is mi****@****epfl.ch
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Mihai David attended École Polytechnique Fédérale De Lausanne, Politehnica University Of Timisoara.
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