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Saloni Agarwal
Leaflet.js tutor
US$25.00 /15 minI am a Senior Web3 Engineer at Chingari, contributing to building their NFT marketplace and auction features. I am highly skilled Blockchain and Backend Developer with extensive experience in building and managing applications and marketplaces. As a Senior Web3 Engineer at Chingari, I had played a pivotal role in developing their NFT marketplace contract in Aptos(move) chain and auction features for the Solana blockchain, and has integrated services like Livepeer and Filecoin etc. At Aura, I led backend development for a gaming-focused NFT marketplace, architecting the product from scratch and implementing innovative features like an NFT Indexer and crypto/fiat swap payments. My technical expertise spans Node.js, Typescript, Nest.js, Aptos(move), Rust, various blockchain technologies, and both SQL and NoSQL databases, underpinned by a strong foundation in Java from her tenure at Oracle. I have the ability to drive complex projects to completion and lead development teams effectively.
- Leaflet.js
- HTML/CSS
- PHP
- Python
- Java
- SQL
- Node.js
- MySQL
- MongoDB
- PostgreSQL
- OOP
- JDBC
- Jenkins
- WebSocket
- TypeScript
- Analytics
- Payment gateway
- Oracle PL/SQL
- Es6
- React
- Spring Boot
- System design
- JavaScript
- Design Architecture
- DigitalOcean
- Rust
- Scrum Master
- Mapbox
- Blockchain
- Oracle SQL
- Ethereum
- GraphQL
- Solidity
- Vanilla JS
- CI/CD
- Vuetify
- Ethereum Smart Contracts
- NestJS
- Vue.js
- Argo CD
- AWS
Jacob Joseph
Leaflet.js tutor
US$50.00 /15 minI love learning, teaching, and sharing what I know. I have had a lot of great teachers and mentors, and I am happy to pay it forward. I work mostly with SQL, Node.js, Python, and Excel/Google Sheets, and various BI/Reporting tools but I have used many other tools and languages along the way. Most of my expertise is around data engineering, data pipelines, and cloud data infrastructure. I have done a lot of work migrating from on premise to cloud environments and in hybrid environments.
Alessandro Mosca
Leaflet.js tutor
US$15.00 /15 minI love the logic of programming, how it picks up my brain and has me deliver phenomenal work for people or organisations. I am enthusiastic, a constant learner, and a meticulous individual. I cover front end development, UI and UX to facilitate user navigation to support the conversion of leads to maximise success.
Theodore Kelechukwu Onyejiaku
Leaflet.js tutor
US$8.00 /15 minI've worked as a frontend developer, backend developer, full-stack developer, mentor, team lead, and open-source contributor. Building solutions and writing articles on different technologies to share my knowledge and experience is my passion. As a software developer and technical writer, I have written articles on different platforms, which include but are not limited to Turing, [Educative.io](http://educative.io/) Answers, Strapi Inc., Open Replay, and Geek Culture. My technologies include Typescript, ReactJs, NextJs, NestJs, NodeJs, ExpressJs, React Native, TypeScript, MongoDB, and PostgreSQL. Education is particularly where my interest lies. And this is why I love writing. I believe I will build an ed-tech solution that will be disruptive someday. Currently, I work as a full-stack developer at InMotion Tech Hub. And lastly, I am open to full-stack, backend, front-end developer, and technical writing roles. At leisure, I love playing guitar, doing community or volunteer service, reading, or spending time with family and friends. I love adventures!
Fahad Mahmood
Leaflet.js tutor
US$20.00 /15 min
⭐️ Top 3% of freelance talent worldwide 🕒 10,000+ hours of Software Development 🚀 600+ hours of Realtime AI Agents Development ✅ 5+ years of experience ✈️ Expertise in WebRTC, Multi Agent Systems, Tooling, RAG, MCP and A2A Protocols Fahad is a highly experienced full-stack developer and former co-founder with more than half a decade of experience building highly scalable applications. He is skilled at breaking down complex problems into manageable solutions and is proficient in Realtime AI development, TypeScript, Rust, Node.js, ExpressJS, Next.js, React, NestJS, and AWS.
- Leaflet.js
- HTML/CSS
- Node.js
- MongoDB
- PostgreSQL
- Redis
- TypeScript
- Stripe
- Sequelize
- Docker
- WebRTC
- React
- Google Cloud Platform
- Queues
- TypoScript
- Jest
- Rust
- React Native
- Blockchain
- GraphQL
- Electron
- Next.js
- Styled-Components
- RESTful API
- NestJS
- Apollo GraphQL
- Tailwind css
- Docker & Kubernetes
- Next UI
- Express.js
- AI
- AWS
- Prompt Engineering
- Langchain
- LLM
- Pinecone
- Crewai
Raghav Palriwala
Leaflet.js tutor
US$10.00 /15 minHighly experienced Full-Stack Data Scientist / Machine Learning Engineer and Software Developer, delivering production ready ML models and customised softwares to automate business processes and decision making. With an added advantage of attaining MBA from India's finest B-school, I build tech powered solutions to ensure maximum profitability for any business venture. Skills : ● Data Science & Machine Learning : Supervised ML, Linear Regression, Decision Tree, Prompt Engineering, Hypothesis Testing, Statistics, Exploratory Data Analysis, Data Wrangling, Cleaning & Tidying, Feature Engineering, Data Visualization, SQL, Scikit-learn, NumPy, Pandas, Matplotlib, Plotly, Dash, Microsoft Excel, Metabase, AWS Athena & Sagemaker, Google BigQuery, Unsupervised ML, Neural Nets, NLP, Large Language Models (LLM), GPT, Text Embedding, Vector Databases, PyTorch, fastai, TensorFlow, OpenAI API, Generative AI (GenAI) ● Programming : Python, MySQL, PostgreSQL, HTML, CSS, Flask, Heroku, APIs, Git, AWS S3 & EC2, JavaScript, jQuery, Java, Werkzeug WSGI, Leaflet.js, Folium, GeoPandas, Google Maps API & Sheets API, Bootstrap Professional Work : 1. Engineered a suite of cutting-edge ensemble ML models, revolutionizing underwriting processes for personal loan products a major FinTech Lender in India. 2. Developed and deployed 6 ML models for credit-risk scorecard, using 5 data sources (Bureau, Bank Statement, SMS, Smartphone App Info and Demography), improving risk spread by 1200%. 3. Devised NLP based models (Passive Aggressive Classifier and XGBoost Classifier with TFiDF Vectorizer) for classification of SMS, improving recall by 35% and accuracy by 60%, and saved 36 man-hours daily, processing over 200 Mn SMS/day. 4. Created LLM based classifier models using Prompt Engineering on ChatGPT (OpenAI), Mistral AI (Open Source) and other open source models. Deployed using AWS Sagemaker. 5. Crafted an LLM based Law ChatBot that answers to Lawyer's questions pertaining to any specified PDF file of a Legal Document. 6. Built an in-house MLOps infrastructure with AWS Sagemaker, enhancing model integration. 7. Engineered 330+ features from SMS data to emulate metrics including cash flow, lifestyle and financial literacy indicators. Included steps like Exploratory Data Analysis, Data Wrangling, Cleaning & Tidying, Feature Engineering. 8. Designed comprehensive daily and monthly model monitoring dashboards using Flask-Python, Metabase and SQL tables, improved response time to anomalies by 75%, enhancing overall model reliability and performance. 9. Designed a Customer Loyalty Program and delivered via a web and Android app, over 2500 DAU, rated 4.6 on play store for a manufacturer and distributor of PVC Plumbing Systems in Central India. 10. Increased territorial penetration by over 25% by building automated interactive GIS sales dashboard for a wholesale business in India. 11. Achieved 100% monthly revenue target completion by creating Business Intelligence Dashboard – Google Apps Script. 12. Reduced total credit by 20% in five months by building a Python-bot that sends regular WhatsApp messages to debtors. 13. Saved annual recurring cost of ₹25 lakh+ by automating data collection for a hedge fund using Yahoo Finance API & Python. 14. Cut time from over 4 hours to 2 clicks by developing a GIS-enabled web application for new-license territory discovery for a developer and licensor of Escape Room Game Designs in USA. Personal Projects : 1. Developed a Fake News Classifier using TfIdf Vectorizer and Passive Aggressive Classifier - ML, pandas, scikit-learn. 2. Created a Spam Email Classifier using Naïve Bayes and XGBoost Classifiers - ML, NumPy, seaborn. 3. Designed a Cat Image Classifier using multi-layer neural network - DL, NumPy, Matplotlib, h5py, PIL, SciPy. 4. Developed a web app to manage portfolio of stock with real-time prices using IEX API -SQLite, Flask, HTML, CSS, JS. 5. Built a terminal-run card game called Declare - Python. Education : Computer Science and Data Science Masters (Self-Learned) Major Electives: Computer Science: MIT 6.0001, MIT 6.0002, Automate the Boring Stuff with Python, Harvard CS50, Harvard CS50 - Web Development, Intro. to Algorithms, Design and Analysis of Algorithms, Software Development Lifecycle, GIT and GitHub, Flask for Python, The Python Mega Course, Data Structures, Analysis of Algorithms, The Odin Project etc. Data Science: Stanford CS229, Stanford Machine Learning (CS229A), Data Science path on Codecademy.com, Data Science and Machine Learning Bootcamp, Neural Networks and Deep Learning, Deep Learning with PyTorch: Zero to GANs, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
- Leaflet.js
- HTML/CSS
- Python
- Java
- SQL
- jQuery
- Flask
- Google Maps
- PostgreSQL
- Heroku
- NumPy
- Amazon S3
- Pandas
- Machine learning
- Computer Vision
- Analytics
- Bootstrap
- Development
- Team Building
- Data Science
- NLP
- Google Cloud Platform
- Management
- Consulting
- Data Visualization
- uWSGI
- Blender
- ArcGIS
- JavaScript
- Recruitment
- Mapbox
- Product design
- Cartography
- Photography
- Training
- Photogrammetry
- Google Sheets
- GPT
- AI/ML
- AI
- AWS
- LLM
Find your personal Leaflet.js tutor on Codementor today 
Users love our Leaflet.js tutors
See the power of our Leaflet.js tutors through glowing user reviews that showcase their successful Leaflet.js learning journeys. Don't miss out on top-notch Leaflet.js training.
“John held a helpful session in which we realized my ask was larger than we both anticipated. We talked through a plan of connecting Supabase databases to a closed-community website project I needed. He patiently talked through expectations of the project and asked questions that were essential for it's functionality. I'd recommend John as mentor and project partner.“
Tasmia Noor / Apr 2025
John Oladele
Leaflet.js tutor
“I had a great experience working with Alan. He was knowledgeable in CSS and was able to get to the root of the issue I was facing. He was able to to iterate through solutions efficiently until we found the right fix, and was friendly, communicative, and easy to collaborate with throughout the process. Highly recommend!“
Jessica Alberto / May 2025
Alan Santos
Leaflet.js tutor
“I asked Lucas to take a look at my job interview requirements, code and final result. I had failed the interview and wanted to understand why. He analyzed my code and prepared documentation showing me the issues using levels from low to critical. He also explained everything, including the possible interviewer expectations, and gave pointers on how to improve. Very satisfied with the service.“
Dio Beis / May 2025
Lucas Meine
Leaflet.js tutor
“Great Mentor. Eugene has helped with a lot of difficult issues. Really knows his stuff, knows how to architect the code properly so things run faster, works efficiently, is friendly and has made many helpful suggestions. All around great mentor!“
Michael Moynihan / May 2025
Eugene Kordin
Leaflet.js tutor
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Frequently asked questions
How to learn Leaflet.js?
Learning Leaflet.js effectively takes a structured approach, whether you're starting as a beginner or aiming to improve your existing skills. Here are key steps to guide you through the learning process:
- Understand the basics: Start with the fundamentals of Leaflet.js. You can find free courses and tutorials online that cater specifically to beginners. These resources make it easy for you to grasp the core concepts and basic syntax of Leaflet.js, laying a solid foundation for further growth.
- Practice regularly: Hands-on practice is crucial. Work on small projects or coding exercises that challenge you to apply what you've learned. This practical experience strengthens your knowledge and builds your coding skills.
- Seek expert guidance: Connect with experienced Leaflet.js tutors on Codementor for one-on-one mentorship. Our mentors offer personalized support, helping you troubleshoot problems, review your code, and navigate more complex topics as your skills develop.
- Join online communities: Engage with other learners and professionals in Leaflet.js through forums and online communities. This engagement offers support, new learning resources, and insights into industry practices.
- Build real-world projects: Apply your Leaflet.js skills to real-world projects. This could be anything from developing a simple app to contributing to open source projects. Using Leaflet.js in practical applications not only boosts your learning but also builds your portfolio, which is crucial for career advancement.
- Stay updated: Since Leaflet.js is continually evolving, staying informed about the latest developments and advanced features is essential. Follow relevant blogs, subscribe to newsletters, and participate in workshops to keep your skills up-to-date and relevant.
How long does it take to learn Leaflet.js?
The time it takes to learn Leaflet.js depends greatly on several factors, including your prior experience, the complexity of the language or tech stack, and how much time you dedicate to learning. Here’s a general framework to help you set realistic expectations:
- Beginner level: If you are starting from scratch, getting comfortable with the basics of Leaflet.js typically takes about 3 to 6 months. During this period, you'll learn the fundamental concepts and begin applying them in simple projects.
- Intermediate level: Advancing to an intermediate level can take an additional 6 to 12 months. At this stage, you should be working on more complex projects and deepening your understanding of Leaflet.js’s more advanced features and best practices.
- Advanced level: Achieving proficiency or an advanced level of skill in Leaflet.js generally requires at least 2 years of consistent practice and learning. This includes mastering sophisticated aspects of Leaflet.js, contributing to major projects, and possibly specializing in specific areas within Leaflet.js.
- Continuous learning: Technology evolves rapidly, and ongoing learning is essential to maintain and improve your skills in Leaflet.js. Engaging with new developments, tools, and methodologies in Leaflet.js is a continuous process throughout your career.
Setting personal learning goals and maintaining a regular learning schedule are crucial. Consider leveraging resources like Codementor to access personalized mentorship and expert guidance, which can accelerate your learning process and help you tackle specific challenges more efficiently.
How much does it cost to find a Leaflet.js tutor on Codementor?
The cost of finding a Leaflet.js tutor on Codementor depends on several factors, including the tutor's experience level, the complexity of the topic, and the length of the mentoring session. Here is a breakdown to help you understand the pricing structure:
- Tutor experience: Tutors with extensive experience or high demand skills in Leaflet.js typically charge higher rates. Conversely, emerging professionals might offer more affordable pricing.
- Pro plans: Codementor also offers subscription plans that provide full access to all mentors and include features like automated mentor matching, which can be a cost-effective option for regular, ongoing support.
- Project-based pricing: If you have a specific project, mentors may offer a flat rate for the complete task instead of an hourly charge. This range can vary widely depending on the project's scope and complexity.
To find the best rate, browse through our Leaflet.js tutors’ profiles on Codementor, where you can view their rates and read reviews from other learners. This will help you choose a tutor who fits your budget and learning needs.
What are the benefits of learning Leaflet.js with a dedicated tutor?
Learning Leaflet.js with a dedicated tutor from Codementor offers several significant benefits that can accelerate your understanding and proficiency:
- Personalized learning: A dedicated tutor adapts the learning experience to your specific needs, skills, and goals. This personalization ensures that you are not just learning Leaflet.js, but exceling in a way that directly aligns with your objectives.
- Immediate feedback and assistance: Unlike self-paced online courses, a dedicated tutor provides instant feedback on your code, concepts, and practices. This immediate response helps eliminate misunderstandings and sharpens your skills in real-time, making the learning process more efficient.
- Motivation and accountability: Regular sessions with a tutor keep you motivated and accountable. Learning Leaflet.js can be challenging, and having a dedicated mentor ensures you stay on track and continue making progress towards your learning goals.
- Access to expert insights: Dedicated tutors often bring years of experience and industry knowledge. They can provide insights into best practices, current trends, and professional advice that are invaluable for both learning and career development.
- Career guidance: Tutors can also offer guidance on how to apply Leaflet.js in professional settings, assist in building a relevant portfolio, and advise on career opportunities, which is particularly beneficial if you plan to transition into a new role or industry.
By leveraging these benefits, you can significantly improve your competency in Leaflet.js in a structured, supportive, and effective environment.
How does personalized Leaflet.js mentoring differ from traditional classroom learning?
Personalized Leaflet.js mentoring through Codementor offers a unique and effective learning approach compared to traditional classroom learning, particularly in these key aspects:
- Customized content: Personalized mentoring adapts the learning material and pace specifically to your needs and skill level. This means the sessions can focus on areas where you need the most help or interest, unlike classroom settings which follow a fixed curriculum for all students.
- One-on-one attention: With personalized mentoring, you receive the undivided attention of the tutor. This allows for immediate feedback and detailed explanations, ensuring that no questions are left unanswered, and concepts are fully understood.
- Flexible scheduling: Personalized mentoring is arranged around your schedule, providing the flexibility to learn at times that are most convenient for you. This is often not possible in traditional classroom settings, which operate on a fixed schedule.
- Pace of learning: In personalized mentoring, the pace can be adjusted according to how quickly or slowly you grasp new concepts. This custom pacing can significantly enhance the learning experience, as opposed to a classroom environment where the pace is set and may not align with every student’s learning speed.
- Practical, hands-on learning: Mentors can provide more practical, hands-on learning experiences tailored to real-world applications. This direct application of skills is often more limited in classroom settings due to the general nature of the curriculum and the number of students involved.
Personalized mentoring thus provides a more tailored, flexible, and intensive learning experience, making it ideal for those who seek a focused and practical approach to mastering Leaflet.js.
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