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Top freelance Fastapi developers available to hire
Seasoned Web Developer and Blockchain enthusiast with a proven track record in the IT and services industry. Expertise in Research, PHP, HTML, JavaScript, and Blockchain development, including Smart Contracts. Skilled in automation, application testing, and cybersecurity analysis for web and mobile apps.
I'm a Highly accomplished and results-oriented Engineer with extensive experience in **Full-stack Development, Artificial Intelligence (AI), Cloud Computing, and MLOps/AI** Pipelines
I help engineers here—especially those early in their journey—build real-world skills through code reviews, system design, and project guidance. My approach is grounded in clarity, scalability, and long-term growth.
I am currently employed as a frontend lead at Cyberspace. I’m hands on in all stages of software development cycle, from planning and design to testing and deployment.
Jude is passionate about algorithms analysis, bug fixes, brainstorming ideas, integrating and building new systems
I’m a full-stack software engineer with experience building AI-powered applications, scalable backend systems, automation tools, and modern web platforms.
Over the years, I’ve worked across different areas of technology — from backend architecture and cloud infrastructure to frontend development, APIs, automation, and real-time systems. Recently, I’ve been focused heavily on AI/LLM applications, including conversational systems, speech-to-text pipelines, text-to-speech services, and language learning platforms powered by local and cloud-based models.
I work primarily with:
• Python (FastAPI, Flask)
• Node.js / Express
• React / Next.js
• PostgreSQL
• Docker & microservices
• Firebase
• AWS & Linux environments
I enjoy solving difficult engineering problems, simplifying complex systems, and helping founders or teams move projects forward quickly without unnecessary overengineering.
Some of the things I can help with:
* AI/LLM integrations
* ChatGPT/OpenAI integrations
* Microservices architecture
* REST APIs
* Backend systems
* Authentication systems
* Docker deployment
* Automation scripts
* Web app development
* Debugging difficult production issues
* Performance optimization
* Cloud/server setup
* Speech-to-text and voice applications
I also have a background in Electrical/Electronics Engineering, which shaped the way I approach systems, troubleshooting, and problem-solving in software.
If you need someone who can jump into an existing project, understand systems quickly, and build practical solutions, I’d be happy to help.
**I’m an IT professional with 8 years of experience, currently specializing in AI, Machine Learning, and Python development.** My teaching philosophy is simple: understand where my students are starting from, then create a personalized roadmap to get them to their goal—whether it’s mastering Python basics or building real-world AI solutions.
I started teaching informally to friends at a young age, and over the years, it became a passion. Today, alongside my role as an ML engineer, I have mentored over 100 professionals and students in Python, Data Science, and Machine Learning, including 4+ years as a part-time mentor for Great Learning.
In my industry work, I’ve built and deployed solutions across Generative AI, Retrieval-Augmented Generation (RAG), computer vision, automation, and large-scale data engineering. My technical expertise spans Python, Unix Shell scripting, SQL, NoSQL, CI/CD pipelines, and frameworks like FastAPI and Flask. I’ve also developed hybrid automation solutions that integrate Python with Bash scripting for ETL, data migration, monitoring, and analytics.
**What you can expect from me as a mentor:**
* Clear, structured lessons—customized to your pace and background
* Real-world coding practices from enterprise-grade projects
* In-depth AI/ML concepts explained from scratch
* Doubt-clearing sessions before every new topic
* Practical examples connecting theory to implementation
If you’re looking to build strong Python foundations, dive into AI/ML, or solve real-world automation problems, I’d love to guide you every step of the way.
I define the architecture. For 21 years, I've been the person CTOs and lead developers call when systems fail under load, migrations are at risk or AI integration needs to work right the first time.
With expertise in .NET, Python, Blazor, ASP.NET Core, SQL and agentic AI architecture (LLMs, reasoning engines, Semantic Kernel, LangGraph, tool-calling agents), I design systems where performance, reliability, and intelligent automation aren't optional—they're the baseline.
I deliver AI in production, not prototypes. I’ve architected and deployed AI-powered systems across financial platforms, education and exam automation, and real estate market intelligence, including enterprise-grade solutions for organizations such as The New York Times, Project Management Institute (PMI), Walmart, Merit Wealth, Namfus and BlueberryCMS.
---
**Here's where I'm most useful to you:**
- **The AI Integration Trap** — You've been asked to add AI to your existing .NET system but don't know whether to use *Semantic Kernel*, raw OpenAI APIs, or a Python sidecar. I've made that decision dozens of times. I'll make it faster and safer for you.
- **The Blazor Bottleneck** — Your Blazor app is slow, state management is tangled, and you're unsure if you chose *Server or WASM* incorrectly. I can diagnose what went wrong and map a clean path forward — often in a single session.
- **The Legacy Modernization Cliff** — You have a 10-year-old .NET system that needs AI or modern tooling but wasn't designed for it. I specialize in *incremental refactoring paths* that don't require a full rewrite and don't break what's already working.
---
**What I Do Best:**
- **Software Architecture & System Design** — scalable, maintainable systems from greenfield to enterprise
- **AI Agent Development** — production-grade agents with Semantic Kernel, LangGraph & AutoGen — *not demos*
- **Blazor & ASP.NET Core** — Server, WASM, hybrid — full-cycle development and performance tuning
- **Python & AI Automation** — RAG pipelines, workflow automation, voice AI, LLM integrations, chatbots
- **Legacy .NET Modernization** — refactoring strategy, migration paths, incremental upgrades
- **Architecture Audits** — identifying structural risk before it becomes a production incident, not after
- **Debugging Complex Systems** — when the stack trace doesn't tell the whole story
**If any of this sounds like your current situation — DM me. I respond to every message.**
I'm a Senior Software Engineer and Solutions Architect with 11+ years of experience using technologies such as Java, Python, and JavaScript. I led the delivery of a retail banking engagement platform for a tier-1 bank, which drove 90% transaction growth and supported 10M+ daily transactions. I've also crafted solutions for industries such as fintech, payments, and capital markets. I continually expand my skill set to deliver reliable, high-performance systems at scale.
I started my career as a web developer 16 years ago. I like challenges where I can use my skills to develop outstanding web applications in look, performance, and efficiency. I am specialized in Front-End and back-end web technologies. For more details about technologies I know, see the expertise section below.
I can help you with:
• New projects or features
• Front-End/Back-End development
• Mentoring
• UX/UI Design
• Bug fixes and issue resolving
If I missed something you need help with, please drop me a message and I will look for a solution.
I am [Gopal Chitalia](https://scholar.google.com/citations?user=QncMQEIAAAAJ&hl=en), a graduate student at Purdue University and working with Prof. [Jan Anders Mansson](https://www.purdue.edu/engineering/mdlab/mansson/) on fault detection in motors using deep learning in a joint project with Wistron. Additionally, I'm working with Prof. [Junjie Qin](https://engineering.purdue.edu/people/junjie.qin.1) on transfer learning application using LLMs for optimizing power networks.
I have had the privilege of working at [Center for Building Science Lab](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcbs.iiit.ac.in%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=UCjKsb98EbNq8jGvbf%2F5TEETyHMI1gnMx20lLBeQmog%3D&reserved=0) under the supervision of Prof. [Vishal Garg](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.google.co.in%2Fcitations%3Fuser%3DvyH26MIAAAAJ%26hl%3Den&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=pDBa4RZtT0eg4rN%2FdvVtv3q%2F6goK1EEVT6%2F6UeGPcw4%3D&reserved=0). I have previously been a Research Assistant/Visiting ML Scholar at the [Smart Grid Research Unit](https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.sgru.eng.chula.ac.th%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=UAp49aqIF2oxM3WIO5IS68gTyMLeYsKR5ENaosJMhvk%3D&reserved=0) (SGRU) under [Manisa Pipattanasomporn](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.google.com.sg%2Fcitations%3Fuser%3D4W2KIQkAAAAJ%26hl%3Den&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=Pey86yYp3KpRPj9d9a97nzxLxQGMkQrN%2BFASqUqyheQ%3D&reserved=0) (Adjunct Faculty, Virginia Tech).
In addition to my academic pursuits, I have also contributed to the industry in the domains of Energy Efficiency, IoT, and Machine Learning. I have worked at [ClevAir](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fclevair.io%2Fen%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=nonCkudNp3cFUL2CNs6rMHm0HyQXSnh9lhoJ76s5xus%3D&reserved=0) (Norway) as a **Data Scientist** and Growthworks.ai (CA, USA) as an **ML Scientist/Energy Demand Expert**.
My research work on predicting short/long-term energy prediction in office/residential buildings using machine learning is published in [Applied Energy](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fabs%2Fpii%2FS0306261920309223%3Fvia%253Dihub&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=V%2Bq5MVSeJ7deNpE%2F%2FEP1PYrsrEVWEH%2FwNK1yAG4CPlM%3D&reserved=0). The results improve the state-of-the-art results by 20-40%. I am also an active reviewer at Applied Energy. Furthermore, I have collaborated on a building-level dataset paper which has been published in [Nature Scientific Data](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.nature.com%2Fsdata%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=rtv6fVxtvuYsk5NAwwR8ujauC1AfX9cs32w4evIj%2BZU%3D&reserved=0).
Previously, I have also worked with Prof. [Jyotirmay Mathur](https://scholar.google.co.in/citations?user=AmGPPL4AAAAJ&hl=en) at the [Centre for Energy & Environment](http://www.mnit.ac.in/dept_cree/index.php), MNIT Jaipur on Predicting time ahead heating/cooling energy demand HVAC systems. Moreover, as an independent research student, I also collaborated with Prof. [Praveen Paruchuri](https://scholar.google.com/citations?user=ILUqgKEAAAAJ&hl=en) of [Machine Learning Lab](https://mll.iiit.ac.in/), IIIT-H for Reinforcement Learning (RL) applications for controlling HVAC systems.
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Frequently asked questions
How long do Fastapi projects normally take?
The length of a project depends on many factors, including the scope of your project and the technical complexity of it. When you post a freelance Fastapi project request on Codementor, you’ll have the option to indicate when you’d expect the project to be completed. We suggest chatting with the interested developers to ensure both sides are on the same page. For more information on how to post a freelance Fastapi request on Codementor, check out our article.
How much does it cost to hire a freelance Fastapi developer?
We don’t charge anything when you post a freelance hiring request for Fastapi developers! You’ll have the chance to determine what the budget for your project is when you post the request. You’ll only need to pay the developer if you’re 100% satisfied with their work. Please know that Codementor charges a small service fee when a developer completes the job.
What makes Codementor Fastapi developers different?
We do a comprehensive technical and communications screen of all Fastapi developers at Codementor. Our network includes book authors, popular open source contributors, top Stack Overflow users and engineers at top tech companies. In addition, to continually ensure the quality of our freelancers, we regularly check in on existing Fastapi developers’ user satisfaction rates.
What happens if I’m not happy with the freelancer’s work?
As a platform, we strive to ensure you’re always happy with your Fastapi project’s results. If you’re unsatisfied with the results, you can choose to get a refund for the project. Additionally, you can contact our support team should you need any further assistance with your project.
For more answers to frequently asked questions, see here.