Machine Learning Engineer for Geospatial AI Experimentation (Remote Sensing / Computer Vision / LLM / RAG)

@hotanloc

https://www.freelancer.com/projects/python/people-detection-counting/reviews @ People cetection and counting project. Please check my previous freelancer projects and reviews. Your project is just my project so I will always do my best to meet your all requirements. My core skill is in OBJECT DETECTION, TRACKING and COUNTING. With my expert skill, I have developed many Computer Vision projects(People detection and counting, Defect detection and counting, Product detction and counting, Car detection and Speed analysis and so on). I have expert skill in image processing which detect object and count object from image and video of CCTV camera. In this project, I will train model to get weight using my own training model. After that I will develop detect code to perform detection object base on traned model. And then I will analysis detected object and display analysed result. I am expert in these fields (YOLO, OCR, OpenCV, Tensorflow, PyTorch, Keras, ML/DL model). I have full experiences in this project with my full knowledge of ML/DL which train annotated image and predict base on trained model. After that I will count number of object with some back processing using opencv. I am sure this project and I can finish this task with high quality. If you give me your project, You can get best result with shortest time and best quality result. Please send me message to discuss your project in more details. I am waiting your reply now. Thanks.

@webmasters486

Hi there, I’ve carefully reviewed the requirements for your GenAI project and I’m confident that my expertise in building NLP pipelines using Hugging Face and LangChain can meet your expectations. My experience includes working with large language models (LLMs) for Retrieval-Augmented Generation (RAG), as well as fine-tuning models with custom datasets to enhance text generation. I’ve successfully completed similar projects where I applied these techniques in Python to build robust, client-specific solutions. I would love the opportunity to discuss how I can leverage my skills to develop a tailored solution for your project. Feel free to take a look at my portfolio to get a sense of the work I’ve done: Portfolio: https://www.freelancer.com/u/webmasters486 Looking forward to hearing from you! Best regards, Muhammad Adil

@maxscender

I can help you design the experimental evaluation for this pipeline. The core challenge here isn't running the three configurations — it's defining what "better" actually means when you move from CV-only to CV+LLM to CV+LLM+RAG. Object detection metrics (mAP, precision, recall) cover the baseline, but the moment you add LLM enrichment, you're measuring a fundamentally different kind of output quality. Most reviewers at ISPRS or IEEE JSTARS will push back hard if the evaluation framework doesn't account for that gap cleanly.

@MQamar123

As a seasoned software developer with a love for sophisticated programming, I've been utilizing Python in my Artificial Intelligence projects for years. This aligns flawlessly with your requirement for a Machine Learning Engineer to design and execute the full experimental evaluation pipeline. I've also honed my skills in Computer Vision increasingly over time, with remote sensing being one area I have really dived into. My knowledge in satellite imagery processing comes particularly handy for your pipeline which revolves around it. Additionally, I have worked with GeoJSON, GDAL, and STAC catalogs which are highly desirable skills to support your geospatial AI experiments. Lastly, consistency is of utmost importance to me as well, therefore ensuring that I meet and exceed the expectations you've laid out is paramount. My goal is to deliver nothing short of publication-quality results incorporating meticulous experimentation design, comprehensive evaluation pipelines as well as reproducibility documentation; just what your project demands. I look forward to joining your team and being an integral part of this groundbreaking research

@MrBimbola

With a unique fusion of nine years' experience in GIS, Remote Sensing, and Full-Stack Development, I am honored to bid for your project. My expertise in spatial data analysis, such as geolocation and satellite image analysis (Sentinel, Landsat) is strongly aligned with the needs of your project. Given our shared focus on rigorous experimentation and evaluation, I assure you of incisive tools and accurate processes that are bound to optimize your workflow. Using ArcGIS, QGIS, Google Earth Engine and related Python tools & libraries like GeoJSON, GDAL , NumPy/Pandas , PyTorch/TensorFlow etc., allow me to deliver excellent results with the AWS open-source geospatial processing framework that you currently have in place. More than just processing satellite imagery or applying Computer Vision for remote sensing detection purposes, I have also deep experience in LLM integration (Language Model) alongside Retrieval-Augmented Generation. I understand the significant role your project plays for journal submissions like ISPRS International Journal of Geo-Information and IEEE Journal of Selected Topics... similar vein applications. My broad skill-point from managing SQL databases to proficient use of Matplotlib/Seaborn for creating publication-ready figures makes me a great fit. Beyond these, my authentic passion for geospatial AI would infuse a sense of creativity into your experiment pipelines to foster reproducibility and engagement within academia. Let's team up!

@qualityxenter

Affordable, Early Delivery. ★★★★★★★★★★★★★★I hold a Masters degree which gives me the requisite background to handle writing from various subjects. I am a highly committed person towards my work. You can rely on QualityXenter for quality and consistency in writing. We never violate copyright rules. I have vast amount of experience in this industry since I am working from 2015 as a professional writer. I provide many modifications till to get your satisfactions. I have access to enough journals to use in your research project. I always produce quality work at VERY LOW RATES so, don’t worry if you have a low budget for your work, I will be very happy to make a new client like you. I am producing quality work for my clients including ARTICLE WRITING, REPORT WRITING, ESSAY WRITING, RESEARCH PAPERS, BUSINESS PLAN, TECHNICAL WRITING, MATLAB, THESIS, ACCOUNTING & FINANCE work ETC. Go through my profile link https://www.freelancer.com/u/qualityxenter

@samiacartech

Hello, I’ve carefully reviewed your geospatial AI experiment needs, and I’m confident I can orchestrate a rigorous, publication-ready evaluation pipeline that aligns with ISPRS and IEEE standards. With deep experience in remote sensing, computer vision for satellite imagery, and deployment-oriented ML workflows, I will design controlled experiments across three configurations (CV-only, CV+LLM, CV+LLM+RAG) using Python, PyTorch, OpenCV, and AWS-based geospatial tooling. I will architect a reproducible workflow: satellite tiling, YOLO-based detection, clustering/filtering, semantic enrichment with LLMs, and optional RAG reasoning, with clearly defined protocol, dataset preparation, and evaluation metrics suited for manuscript-ready results. Deliverables will include an experiment protocol document, dataset pipelines, controlled runs, robust statistics, publication-ready figures/tables, and reproducibility documentation, all supported by rigorous logging and versioning. I’ll ensure results are statistically sound and clearly presented for journal submission, while coordination with your DevOps engineer will keep infrastructure concerns separate. Next steps: I can begin by outlining the experimental protocol within 2-3 days and proceed with initial baseline runs to validate the pipeline. Best regards,

@viktorc2

Hello, I have carefully analyzed your Geospatial AI and Remote Sensing research project, focusing on rigorous experimental design and evaluation for satellite imagery pipelines. I previously conducted research-oriented ML experiments for multimodal geospatial data, including computer vision object detection on satellite imagery and LLM-based semantic enrichment, producing reproducible results and publication-quality figures for academic journals. For your project, I will design and execute controlled experiments across the three configurations: CV-only baseline, CV + LLM enrichment, and CV + LLM + RAG contextualization. I will implement dataset preparation pipelines, define evaluation metrics, run reproducible experiments, and generate publication-ready tables and figures. All work will focus on scientific rigor, reproducibility, and producing results suitable for submission to ISPRS or IEEE journals, using Python, PyTorch, OpenCV, and standard ML libraries in coordination with your DevOps-managed AWS environment. I am available to begin work immediately and committed to delivering high-quality, research-ready ML experiments within the shortest possible timeframe. Best regards, Viktor

@anilptk

Dear Hiring Manager, With a background in Machine Learning and extensive experience in Python, Computer Vision, and Remote Sensing, I am excited about the opportunity to work on your Geospatial AI Experimentation project. My expertise in ML experimentation and evaluation align perfectly with the requirements of the project. I have a proven track record of designing and executing rigorous ML experiments to achieve publication-quality results. My strong foundation in Python, NumPy, and Deep Learning will allow me to seamlessly integrate with the existing system architecture and deliver exceptional outcomes. I am confident in my ability to contribute effectively to your project and ensure the successful completion of the experimental evaluation pipeline. I am looking forward to discussing further details and collaborating with you on this exciting project. Warm regards, anilptk

@mahads31

As a seasoned freelance web and software developer, I bring to the table a strong background in designing and executing experiments, making me a prime candidate for your ML Engineer requirement. Over the years, I've fine-tuned my skills across machine learning, deep learning, computer vision, and geospatial processing - all of which are central to your project. In terms of technical expertise, my proficiency in Python, TensorFlow/PyTorch, OpenCV, AWS cloud workflows and the other development tools mentioned aligns seamlessly with your project's needs. Moreover, my experience with satellite imagery processing and geospatial data management capabilities like GeoJSON/GDAL and STAC catalogs will be valuable for effective exploration of the large volumes of datasets involved in this research. Having worked on numerous experimental projects before, I approach each problem with meticulousness and a keen eye for detail - traits crucial for producing high-quality research papers like the one you envision. My commitment to delivering not just sustainable code but scalable solutions demonstrates my understanding of your need for reliable pipelines. In conclusion, tapping into my extensive knowledge in machine learning as well as hands-on experience in geospatial analytical processes would be a prudent choice for this project. Let's collaborate to design comprehensive experiments, produce publication-ready results and provide reproducibility for enduring scholarly contributions.

@hassam945

Hi sir, please visit my profile and portfolio first. You will see several research-based AI projects, where I worked on complex ML pipelines and produced publication-quality experimental results. I really enjoy working on research and innovation projects, especially where the goal is rigorous experimentation and defendable results for academic papers. Your requirement fits well with my experience in computer vision, ML experimentation, and reproducible research pipelines. I understand that the engineering system and DevOps are already handled, and my role will focus on designing controlled experiments, running evaluations, and producing publication-ready metrics and figures for the three configurations: CV baseline, CV + LLM enrichment, and CV + LLM + RAG. I have strong experience with Python, PyTorch, OpenCV, NumPy, Pandas, and scikit-learn, and I regularly build structured experiment pipelines with clear dataset preparation, statistical evaluation, and visualization (Matplotlib/Seaborn). My approach always focuses on reproducibility, clear documentation, and research-grade methodology, which is essential for journals like ISPRS and IEEE JSTARS. I’m confident I can contribute strongly to this research effort. Let’s connect and discuss the experimental design and evaluation strategy for your manuscript submission.

@tayyabeh1807

Hi I have previously worked on ML experimentation pipelines involving computer vision models evaluation frameworks and reproducible research workflows For this project I can design controlled experiments comparing the CV baseline vs CV LLM vs CV LLM RAG implement evaluation metrics and generate publication ready figures using Python PyTorch OpenCV and geospatial tools like GDAL GeoJSON Im comfortable working with satellite imagery pipelines experiment tracking and statistical evaluation needed for journal level research Id be happy to help structure the experiments and produce rigorous results suitable for ISPRS or IEEE submissions come to chatbox to have disccussion best regards Tayyab :)

@miqueiasstudio

Hi, I’m confident I can design and execute rigorous ML experiments to support your geospatial AI and remote sensing research publication. With experience in computer vision for satellite imagery, Python-based ML pipelines, and experimental design for academic research, I focus on producing reproducible, publication-quality results. I will start by defining the experimental protocol and preparing datasets from your tiled satellite imagery. Next, I will implement controlled evaluation pipelines for the three configurations—CV-only baseline, CV + LLM enrichment, and CV + LLM + RAG contextualization—collecting metrics, performing statistical analyses, and generating publication-ready figures and tables. Finally, I will document the reproducibility workflow, including data preprocessing, experiment code, and evaluation scripts. You’ll receive a full experimental package including protocol documentation, prepared datasets, controlled experiment runs, evaluation metrics, reproducible code, and figures/tables suitable for submission to journals such as ISPRS or IEEE JSTARS. All work will integrate smoothly with your existing AWS infrastructure handled by the DevOps engineer.

@mutahrar

Hello, I am excited about the opportunity to contribute as an ML engineer to your Geospatial AI and Remote Sensing research project. With strong experience in machine learning, deep learning, and computer vision for remote sensing, I can design and execute rigorous experimentation and evaluation pipelines to generate publication-quality results. I am proficient in Python, PyTorch, TensorFlow, OpenCV, and geospatial data processing tools such as GDAL, GeoJSON, and STAC catalogs. My focus will be on implementing controlled experiments across your three system configurations—CV-only, CV + LLM enrichment, and CV + LLM + RAG contextualization—ensuring reproducibility, accurate evaluation metrics, and clear analysis of results. I will deliver a comprehensive experiment protocol, dataset preparation pipelines, controlled experiment runs, evaluation metrics and statistics, and publication-ready figures and tables. Additionally, I will provide full reproducibility documentation so that your results are fully verifiable for journal submission. By focusing solely on the experimentation and evaluation components, I will enable your DevOps engineer to handle the infrastructure while ensuring that the project meets the highest academic and research standards.

@shafeeqm6

Hey, I saw your project and I’d genuinely love to help. Your need for a quality-focused and client-centered ML engineer to design rigorous experiments for your integrated geospatial AI system aligns perfectly with my expertise. I’ve carefully reviewed your emphasis on satellite image processing, YOLO object detection, and LLM-based enrichment within an AWS cloud workflow. With extensive professional experience in Python, PyTorch, OpenCV, and reproducible research pipelines, I bring the trusted skills necessary to deliver publication-quality results. My background in geospatial data processing and experimental design ensures a scalable, automated evaluation pipeline precisely tailored to your project’s objectives. I offer deep expertise in multimodal AI, experimental evaluation, and detailed documentation. I’m dedicated, responsive, and eager to collaborate—let’s start and get your research moving toward successful publication. regards shafeeq

@Xakimbek007

I am an ML engineer specializing in geospatial AI and remote sensing, experienced in designing rigorous, publication-ready experiments. I can implement and execute your evaluation pipeline for the three configurations (CV-only, CV+LLM, CV+LLM+RAG), ensuring reproducible, statistically robust results. My approach includes: Building dataset preparation pipelines for satellite imagery tiling, clustering, and filtering. Executing controlled experiments with object detection metrics (precision, recall, F1, mAP) using Python, PyTorch, OpenCV, Pandas, and Matplotlib/Seaborn. Integrating LLM enrichment and optional RAG reasoning for semantic evaluation. Producing publication-ready figures, tables, and reproducibility documentation, following academic standards for journals like ISPRS and IEEE. I focus solely on ML experimentation and evaluation, complementing your DevOps setup, and ensure results are reproducible, accurate, and ready for manuscript submission. I am ready to start immediately and deliver a complete evaluation pipeline aligned with your research goals.

@DilawerKhan

I will design and run a rigorous ML experimentation pipeline to evaluate the CV-only, CV+LLM, and CV+LLM+RAG configurations on satellite imagery. I will implement reproducible evaluation workflows, compute detection and enrichment metrics, and generate publication-quality figures, statistics, and documentation suitable for journal submission.

@shahzaibs380

Hello there! Warm greetings from Khanewal— this is Shahzaib. I saw your project and it looks like a great match for my Full-Stack development experience. I'd love to share my experiences with you. Although I’m new on Freelancer.com and don’t have reviews yet, I have strong development experience from my previous work. Best regards, Shahzaib

@AdriaanP

I understand your need for a skilled ML engineer to design and execute rigorous experiments supporting your Geospatial AI research manuscript. I will develop a comprehensive evaluation pipeline across your three configurations—CV-only, CV + LLM enrichment, and CV + LLM + RAG—ensuring reproducibility and publication-quality results. Leveraging my strong background in remote sensing, computer vision, and experimental design, I will produce detailed protocols, controlled runs, and clear visualizations while collaborating closely with your DevOps engineer for seamless integration. I would love to chat more about your project! Regards, Adriaan Potgieter.