Hire the Best Image Processing Specialists
in Nepal

✅Google Earth✅Google Maps✅Georeferencing✅Geocoding ✅Reverse Geocoding ✅ Digitization of raster maps✅ Google maps in KML✅Satellite image processing mapping✅ Multi-criteria decision analysis✅Spatial analysis Mapping✅Digital Terrain Analysis✅Creating Geospatial databases and datasets✅Data conversion, .gdb .shp .dwg .kml..and coordinates to features✅ Network Analysis Mapping: Finding best route, Location Allocations, Vehicle Routing Problem.✅Suitability Analysis Mapping✅ Cost Path Analysis✅ Hydrology Analysis Mapping: Watershed delineation, Hydrology 3D Modeling✅Geology and Topology mapping✅ 3D Modeling, Flood Animation, 3D Path Tracking Animation✅Web Mapping using with leaflet and map box I will provide a whole variety of GIS mapping services that include: • Georeferencing, address Geocoding and reverse Geocoding. • Digitization of raster maps, scanned maps and Google Earth maps to Vector format (Point, Lines, and Polygon) • Satellite image processing mapping • Multi-criteria decision analysis • Spatial analysis Mapping • Digital Terrain Analysis • Creating Geospatial databases and datasets • Data conversion, .gdb .shp .dwg .kml..and coordinates to features • Network Analysis Mapping: Finding best route, Location Allocations, Vehicle Routing Problem.. • Suitability Analysis Mapping • Cost Path Analysis • Hydrology Analysis Mapping: Watershed delineation, Hydrology 3D Modeling • Geology and Topology mapping • 3D Modeling, Flood Animation, 3D Path Tracking Animation • Web Mapping using with leaflet and map box

Expertise in High-Stakes Data Annotation for AI/ML As a dedicated Data Annotation Specialist with over 3 years of experience, I bring a proven track record of delivering the precise, high-quality datasets required to build and refine advanced AI and Machine Learning models. My unique strength lies in my ability to handle complex, domain-specific data across multiple critical industries, ensuring the accuracy and contextual relevance of your training data: - Medical/Healthcare: Expertise in annotating sensitive biological and radiological imagery, focusing on precise segmentation and classification for diagnostic support systems. - Autonomous Vehicles (AV): Proficient in complex 2D, 3D, and time-series annotation, including lidar point cloud, semantic segmentation, and tracking of objects in motion. - Agritech: Experience with imagery related to crop health, disease identification, aerial mapping, and environmental monitoring to power precision agriculture. I am more than just a labeler; I am a Quality Partner. I ensure strict adherence to guidelines, maintain high throughput, and possess a strong understanding of how annotation quality directly impacts model performance. I am ready to jump into your project and deliver the clean data you need to succeed.

𝐓𝐨𝐩-𝐑𝐚𝐭𝐞𝐝 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 & 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 | 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗩𝗶𝗱𝗲𝗼 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 · 𝗢𝗯𝗷𝗲𝗰𝘁 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 · 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗜𝗺𝗮𝗴𝗶𝗻𝗴 I build Computer Vision systems that work in the real world, not just in notebooks. Over 5+ years I have delivered production Computer Vision solutions across healthcare, manufacturing, retail, security, and autonomous systems. The common thread across all of it has been the same: turning raw image and video data into something that actually runs, scales, and holds up under real operating conditions. My work covers the full pipeline. That means camera calibration, image preprocessing, dataset curation, model training, optimization, and deployment, all the way through to monitoring in production. I work primarily in Python using OpenCV, PyTorch, TensorFlow, and ONNX. The goal is always a system that is fast, accurate, and maintainable by a real engineering team, not just a proof of concept that impresses in a slide deck. 𝗢𝗯𝗷𝗲𝗰𝘁 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗧𝗿𝗮𝗰𝗸𝗶𝗻𝗴 I have deployed YOLO-based and transformer-based detectors including DETR and RT-DETR for pedestrian counting, vehicle tracking, product verification, and wildlife monitoring. For tracking I use DeepSORT, ByteTrack, and custom Kalman filter pipelines built for high-occlusion environments. A model that scores 97% mAP on a benchmark is worthless if it falls apart under variable lighting or partial occlusion in the field, so I test against real conditions from day one rather than treating deployment as an afterthought. 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗮𝗻𝗱 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗜𝗺𝗮𝗴𝗶𝗻𝗴 I have built segmentation and classification models for radiology images, histopathology slides, and microscopy data, working alongside clinical teams to integrate these into real diagnostic workflows. In regulated environments, dataset curation, class imbalance handling, and interpretability are not optional extras. They are the job, and I treat them that way. 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗜𝗻𝘀𝗽𝗲𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 I have built visual defect detection systems for manufacturing lines inspecting surface anomalies, dimensional tolerances, and assembly errors at throughput rates that demand sub-100ms inference. Most of these run on edge hardware: NVIDIA Jetson platforms, Intel NUCs, ARM devices. That requires real model optimization through quantization, pruning, and TensorRT conversion, not just throwing a GPU at the problem. 𝟯𝗗 𝗩𝗶𝘀𝗶𝗼𝗻 𝗮𝗻𝗱 𝗦𝗽𝗮𝘁𝗶𝗮𝗹 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 I have implemented stereo depth estimation, LiDAR-camera fusion, and Structure-from-Motion pipelines for robotics, autonomous vehicles, and AR applications. I work with point clouds using Open3D and integrate vision outputs into ROS-based robotic systems when the project calls for it. 𝗗𝗮𝘁𝗮, 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁, 𝗮𝗻𝗱 𝗘𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴 𝗜𝗻 𝗕𝗲𝘁𝘄𝗲𝗲𝗻 Most Computer Vision projects fail because of data, not models. Bad labeling, weak augmentation, and distribution shift between training and production cause more failures than architecture choices ever do. I address these problems before touching model code, using Label Studio, CVAT, and Roboflow for annotation workflows, and designing augmentation strategies in Albumentations tuned to the actual deployment environment. On the deployment side I build REST APIs with FastAPI, containerize services with Docker and Kubernetes, and handle multi-camera video ingestion using GStreamer and FFmpeg. Experiments are tracked in MLflow and Weights and Biases so model lineage is maintained across every production update. 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸 I scope honestly. If the data is not there or the timeline is not realistic, I will say so upfront rather than take the contract and deliver something disappointing. I share working prototypes early so you can validate the direction before full-scale development begins. I write clean, documented code with reproducible training scripts that your team can actually pick up and maintain. And I communicate throughout the project without needing to be chased for updates. If you are building something that needs to perform reliably in production, I am glad to talk through what you are trying to solve.

Have more than 5 years of work experience in the field of GIS & Remote Sensing and can work as GIS and Remote Sensing Analyst also can assist you in works related to Google Earth Engine and Spatial Programming. My field of expertise are as follows: 1. GIS 2. Remote Sensing 3. Spatial Programming (R and Python) 4. Cartography 5. Spatial Analysis 6. Digital Mapping Coding languages: - Python geospatial analysis, Numpy & GPU array computation, web-scraping, data visualisation, general data analysis - R statistical analysis, geospatial analysis, machine learning -R shiny( Web app development) Software: - QGIS / ArcGIS - GIS Desktop suites - Google Cloud - Sheets, Docs automation - ENVI, ERDAS Imagine- Image Processing Environments: - Google Cloud, inc. Earth Engine also open in doing small tasks such as can create GIS interactive map, do spatial analysis, GIS digitization, georeferencing, create shape files, do supervised classification, AHP modelling, and use of remote sensing and GIS application in the field of forestry, environment, health, urban and planning, machine learning for modelling, modelling on R and python, perform specific Google Earth Engine works such as image classification, geometric and radiometric correction. geocoding, map designing, accuracy assessment . I am a geomatics engineer currently doing my masters in geoinformatics from Nepal Open University. I have completed many projects including Land Surface Temperature relationship with LULC, Landslide susceptibility analysis using machine learning model, air quality assessment, surface water quality assessment using remote sensing and GIS etc. Looking forward to hearing from you. Best Regards Ashish Chalise

Hi, I’m a seasoned Network/System Administrator and ML Engineer with 10+ years of experience in FinTech industry, specializing in robust IT solutions that boost efficiency and security. My core expertise include: • Networking & Security Solutions: Cisco/Juniper Routers/Switches, Firepower/FortiGate Firewalls, Cisco ISE NAC, Site-to-Site/Remote VPNs, SolarWinds Monitoring, Veeam Backups. • AI/ML Workflows: Computer Vision/Image Processing (TensorFlow/PyTorch/Keras for CNNs, Object Detection, Classfication, Segmentation), Graph Neural Networks (NetworkX, StellarGraph); Published Research in Medical Imaging; Google Colab to Deployment. • Data Engineering & Big Data: Hadoop/Spark/Hive/Yarn, ElasticSearch, Oracle/PostgreSQL/MySQL/MSSQL Database Administration, Optimization, & Migrations – optimized for FinTech Analytics. • Server & Automation: Windows/Linux (AD, Exchange, IIS), Performance Tuning, ITIL Incident Management, Business Continuity Planning. • Infrastructure & Cloud: AWS (EC2, VPC, Lambda, S3, CloudWatch), VMware ESXi/vSphere/vCenter Virtualization, Kubernetes/Docker for Microservices, CI/CD Pipelines with GitHub Actions. Trainings completed: • CCNA, Oracle DBA/SQL, Big Data Analytics, ML with Python, DevOps Always up-to-date on trends - let's chat about your project needs! Thank you for reviewing my profile!

Field of Expertise 1. GIS 2. Remote Sensing 3. Spatial Analysis 4. Programming (Python, R) 5. Web Scraping Coding languages: - BeautifulSoup, Selenium, Scrapy - Python geospatial analysis, Pandas, Numpy & GPU array computation, data visualisation, - R, geospatial analysis, machine learning Software: - QGIS / ArcGIS - ENVI, ERDAS Imagine- Image Processing Environments: - Google Cloud, inc. Earth Engine - Picterra