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

I am a Software Engineer with strong expertise in Artificial Intelligence, Data Annotation, and AI model training. Behind every successful AI system is high-quality data, and I specialize in building accurate, scalable, and reliable datasets that improve model performance and reduce costly errors. For the past 4 years, I have worked as a Data Annotation Team Lead for multiple companies, managing annotation workflows, quality assurance, and large-scale AI data projects. My experience covers image, video, audio, and text annotation across a wide range of AI and machine learning applications. I have hands-on expertise in: Image & Video Annotation Audio Annotation & Transcription Named Entity Recognition (NER) Text Classification Sentiment Analysis Search Relevance Data & Content Moderation Bat Call Analysis using Spectrograms I am highly skilled with annotation techniques and tools including: Bounding Box Polygon Polyline Keypoint Cuboid Ellipse Brush Annotation Platforms I have worked with: Label Studio CVAT V7 Darwin Roboflow Labelbox Alegion DataLoop Datasaur Lucy Analytics Loft 2 VGG Image Annotator I focus on precision, consistency, and delivering high-quality annotated data that helps AI products perform reliably in real-world environments. Whether you need a skilled annotator, QA specialist, or annotation team lead, I can provide dependable support and outstanding results for your project.

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!

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 Plus ML engineer: medical imaging (segmentation, registration, nnU-Net), clinical NLP, deep computer vision. 100% Job Success · 1,200+ hrs. I take on the problems where the obvious approach fails. WHERE I DO MY BEST WORK Medical imaging ML. I evaluate and debug segmentation models (Dice scores, Bland-Altman analysis), run rigid and deformable image registration (ANTs/SyN), handle nnU-Net preprocessing and training, and deliver 3D Slicer overlays your clinical team can actually inspect. On my longest imaging engagement I sent a demo video at every milestone, so the client never had to guess where things stood. Before Upwork, I worked on chest X-ray segmentation and calcification detection for a US medical-device software company. Clinical & scientific NLP. 600+ hours (and counting) on a research-heavy clinical NLP project: sentence embeddings, UMAP + HDBSCAN clustering, custom composite scoring, synthetic training data. The kind of work where you form a hypothesis, run the experiment, and let the data kill it. (Under NDA) Deep computer vision. I trained a Flux DensePose ControlNet from scratch — dataset prep, captioning, GPU training, parameter tuning — then shipped it behind a Streamlit app so the client's non-technical team could generate images without me. Also: YOLO detection, and an automated color-correction pipeline that detects a color card and generates 3D LUT/CUBE files across EXR, CR2, CR3, and PNG workflows. Document intelligence & LLM pipelines. I build document-processing pipelines that extract structured data from messy PDFs, scans, invoices, and reports — OCR, transformer-based page classification, and LLM extraction with Claude/OpenAI — delivering clean CSV or JSON. I've also built cross-referencing systems that connect information across multiple documents, and raised extraction accuracy on a pipeline other teams had given up tuning. I ALSO GET CALLED WHEN SOMETHING IS SILENTLY BROKEN Two of my favorite projects were rescues: a Temporal Fusion Transformer backtest that was silently leaking data (fixed the encoder/decoder windowing, ran leakage checks, rebuilt walk-forward validation), and a multi-timeframe trading pipeline writing empty tags (root-caused it, patched it, added audit scripts and trace columns). If you need someone to debug and fix an ML model, training pipeline, or backtest that's producing numbers nobody quite trusts, that is a job I know how to do. HOW I WORK Fast replies — usually within hours, working Nepal time with real overlap across US, EU, and AU hours. Milestone demos, often as short videos. Documentation your next engineer can pick up cold. All 13 of my completed contracts are five stars, and several reviews use the phrase "above and beyond", that part I'm proud of. Send me the problem you suspect is too messy for a freelancer. Those are the ones I want.

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