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Recently Added FastAPI Developers in our Network

Saran Mayilsamy

Saran MayilsamyProfile Badge IC

Software Engineer5 Years of Exp
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I am a Backend Developer and Software Engineer with a strong track record of delivering scalable, secure, and data-driven solutions. I have collaborated directly with the Nokia team in a customer-facing environment, gathering requirements, designing solutions, and delivering features on time ensuring client satisfaction and building trust in high-stakes projects.At Protecto, I have led multiple impactful initiatives, including building a Python library that automated metadata and policy retrieval from Snowflake and Redshift (reducing integration effort by 50%), implementing Google & Microsoft SSO with Keycloak in Streamlit (boosting user signups by 70%), and developing secure authentication/authorization services with OAuth 2.0. I also streamlined payment operations by integrating Stripe with FastAPI.Beyond these, I have engineered practical solutions such as an online programming test portal for colleges and an OPD application that improved patient-doctor engagement. I thrive in environments where technology directly meets business needs, working with cross-functional teams to create solutions that are both technically robust and impactful.Core Skills: Python (FastAPI), Streamlit, PostgreSQL, Kubernetes, OAuth2.0, SSO, Stripe, Google Analytics, Salesforce

Himanshu Mishra

Himanshu MishraProfile Badge IC

Software Developement Engineer (Backend) & FastAPI5.8 Years of Exp
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  • CSS
  • Data Structures
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A Software Engineer currently working at Namma Yatri who recently completed his Bachelor's degree in Computer Science and Engineering.Previously, I have worked with Uniqode as a Software Engineer, HackerEarth as a Problem Setter and HitcHike as an Android Application Developer Intern. I have also worked as an Open Source Developer and Mentor at RDS and as Competitive Programming Lead at Google DSC.My areas of interest include problem-solving, competitive programming, and software development. I am well-versed in data structures and algorithms, as well as core computer science fundamentals such as OOPS, DBMS, operating systems, and computer networks. I have solved over 1500 algorithmic questions across various platforms. Additionally, I have worked on numerous projects in diverse domains as part of my college semester projects, including Android application development, web development, Java applets, and artificial intelligence algorithms.

Raghav Bansal

Raghav BansalProfile Badge IC

Lead Engineer Machine Learning4.3 Years of Exp
  • machine_learning
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I’m a Machine Learning Engineer with almost 4 years at Samsung, building production-grade Machine Learning systems across on-device, cloud, and generative AI pipelines. I’ve worked on multilingual Natural Language Processing (NLP) models, Deep Learning, Retrieval-Augmented Generation (RAG) systems, and deployed Large Language Models (LLMs) at scale using Triton Inference Server and AWS.My strengths include on-device AI (TensorFlow Lite, model quantization, unsupervised clustering), contextual search (Word2Vec, BERT), and building robust ML APIs integrated with Android and web services.I’m currently open to opportunities focused on LLMs, on-device intelligence, Deep Learning, or scalable Machine Learning infrastructure.

Saket Kumar

Saket KumarProfile Badge IC

Lead AI Engineer7.9 Years of Exp
  • Django
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My passion for developing solutions stemsfrom my dedication to optimizing userexperiences and enhancing . Through my work on diverseprojects, such as creating a central LLMinteraction service with load balancing andbuilding high-performance backend systemsfor various applications, I aim to push theboundaries of innovation.

Chakri Muthyala

Chakri MuthyalaProfile Badge IC

Data Scientist & FastAPI Engineer11.2 Years of Exp
  • machine_learning
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  • PyTorch
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Passionate Machine Learning engineer with 5+ years' experience in computer vision and machine learning. Developed ML algorithms for production-scale business solutions. Expertise in the development of the entire computer vision life-cycle for edge and cloud. Deep Learning and Computer Vision expertise applied from academic research to industry. Strong problem-solving skills, thrive in collaborative and independent environments, excelling in high-velocity teams.

Navneet Dhamal

Navneet DhamalProfile Badge IC

Software Engineer & FastAPI Engineer3.7 Years of Exp
  • Bootstrap
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  • Git
  • JavaScript
  • 組込みLinux
  • MySQL
  • NumPy
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Looking for challenging role in reputable organization to utilize my technical and management skills for the growth of the organization as well as to enhance my knowledge about new and emerging trends in the IT sector.

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Uplers helped to source and bring out the top talent in India, any kind of high-level role requirement in terms of skills is always sourced based on the job description we share. The profiles of highly vetted experts were received within a couple of days. It has been credible in terms of scaling our team out of India.

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Case Studies of Tech Companies

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Top Benefits of Hiring FastAPI Developers for Your Startup

Every startup depends on the right tech stack. The tech stack you choose early on affects how fast you build, how well your product scales, and how much you spend getting there. A poor backend choice slows growth. A strong one supports scale from day one.

FastAPI is gaining traction because it combines speed, performance, and simplicity. Hiring FastAPI developers is not just a technical choice but a strategic decision that can provide long-term advantage.

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What Is FastAPI?

FastAPI is a modern Python framework built for creating APIs quickly and efficiently. Released in 2018, it is one of the most popular backend frameworks in the Python world.

FastAPI is based on Starlette and Pydantic, and supports asynchronous programming by default. It is widely used for SaaS platforms, AI systems, and data-driven applications because it offers speed, built-in validation, and automatic documentation.

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What Do FastAPI Engineers Do?

FastAPI engineers focus on building secure, scalable backend systems. Their work goes beyond writing endpoints.

  • Design RESTful APIs and backend architecture
  • Build asynchronous systems for performance
  • Implement authentication and data validation
  • Set up and manage databases (PostgreSQL, MongoDB, etc.)
  • Integrate third-party services and authentication systems
  • Deploy APIs via Docker or cloud platforms
  • Optimize performance and reduce latency
  • Collaborate with the frontend and DevOps teams
  • Write tests and maintain API documentation

If you plan to hire a full-stack Python engineer, ensure they understand both backend logic and system design principles.

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Benefits of Hiring FastAPI Engineers for Startups

FastAPI engineers help startups move faster while building systems that can grow. Here are the most practical benefits and how they directly impact your product.

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Faster Development and Time-to-Market

FastAPI cuts down the code you need to write. Built-in request parsing and validation mean fewer debugging cycles. For a startup racing toward an MVP, this matters. You ship faster, test with real users sooner, and iterate based on actual feedback.

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High Performance and Speed

FastAPI is one of the fastest Python frameworks available. Its async-first design handles multiple requests simultaneously without blocking. For startups building SaaS dashboards, fintech tools, or real-time systems, this is a great advantage. Better performance improves user experience and lowers server costs as traffic increases.

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Automatic API Documentation

FastAPI automatically generates interactive API documentation using OpenAPI and Swagger standards. Every endpoint is documented as soon as it is written. This saves developer time and helps frontend teams and external partners integrate without guesswork. It also helps clients and investors quickly understand your product's architecture.

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Cost-Effective Development

FastAPI's built-in validation catches errors early, before they reach production. This is helpful for startups watching their runway as it directly lowers engineering costs. When you hire a full-stack Python engineer with FastAPI experience, you get speed without cutting corners.

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Strong Python Ecosystem

Python offers powerful libraries for AI, analytics, automation, and data processing. FastAPI integrates easily with tools like Pandas, NumPy, and machine learning frameworks. Developers can pull in tools like SQLAlchemy or Celery without friction, letting startups expand features without switching languages or adding new specialized hires.

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Secure and Reliable Applications

FastAPI uses Pydantic for strict data validation. This reduces unexpected runtime failures. It also supports OAuth2 and JWT authentication standards. Developers implement authentication flows with far less custom code than older frameworks require. For startups handling user data or financial records, this reduces security vulnerabilities from day one.

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Easy Scalability

FastAPI's async support and stateless design make horizontal scaling straightforward. As user numbers grow, developers can scale individual services independently. Startups avoid expensive re-architecture later because the foundation is already built for growth.

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Easy Integration with Modern Tech Stacks

FastAPI connects easily with React, Vue, Angular, and mobile apps. It supports REST and WebSocket protocols. A FastAPI engineer can quickly align backend APIs with frontend needs. This reduces integration friction and improves release cycles.

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Conclusion

Startups need speed, reliability, and scalability. FastAPI delivers all three. Hiring skilled FastAPI engineers helps build strong foundations for sustainable growth.

Frequently Asked Questions

Uplers provides AI-vetted talent, ensuring a seamless hiring experience. Our efficient process ensures profile shortlisting within 48 hours, allowing you to swiftly onboard qualified professionals within just 2 weeks. Additionally, we prioritize client satisfaction with our flexible terms, including a 30-day cancellation policy and a lifetime free replacement.

You can get the top 1% of AI-vetted profiles in less than 48 hours through Uplers. Once you finalize one of the most suitable FastAPI Developers, Uplers takes care of the entire hiring and onboarding formalities. This typically takes 2-4 weeks depending on your requirements and decision-making time.

The modes of communication through which you can get in touch with a hired FastAPI Developer include:

  • Email
  • Phone
  • Messaging apps such as WhatsApp, Slack, or Microsoft Teams

Uplers offers a 30-day cancellation policy at no extra cost and lifetime free replacement.

The average cost of hiring a FastAPI Developer from Uplers starts at $2500. The number varies depending on the experience level of the developer as well as your requirements.

View Our Pricing For 2025 - 26

At Uplers, our screening process ensures a thorough evaluation of candidates' language proficiency, facilitated by our AI-vetting technology. Beyond linguistic skills, we prioritize cultural fitness to ensure seamless integration within your team, fostering a harmonious work environment and seamless collaboration.

A FastAPI developer builds high-performance Python APIs by using asynchronous programming, efficient data validation, and optimized request handling. FastAPI supports async and await, which allows APIs to handle multiple requests at the same time without slowing down. Automatic request validation with Pydantic reduces errors and improves speed, while built-in support for modern web standards ensures fast and scalable API performance.

A hiring manager should look for experience with asynchronous programming, API design, and data validation. Strong FastAPI developers understand async and await, RESTful API architecture, and request handling using Pydantic. Skills in database integration, authentication methods like OAuth or JWT, and performance optimization are also important for building secure and scalable APIs.

Scalable and asynchronous API architectures are designed using non-blocking async and await patterns, efficient request handling, and modular API structures, with FastAPI developers applying these best practices throughout the API lifecycle. Built-in support for high concurrency, background tasks, and smooth integration with databases and message queues helps ensure the API scales reliably as traffic increases.

FastAPI developers design, build, and maintain RESTful APIs, GraphQL endpoints, and microservices using clean API contracts and efficient request handling. The role includes defining endpoints, validating data with Pydantic, managing authentication, and ensuring services communicate reliably. This approach helps create scalable, maintainable, and high-performance backend systems.

API security is ensured by implementing authentication methods such as OAuth2 or JWT, enforcing role-based access control, and securing endpoints with proper authorization rules. FastAPI developers use Pydantic for strict request and response validation, which prevents invalid or malicious data from entering the system. Additional measures like HTTPS enforcement, input sanitization, and dependency-based security checks help protect APIs and sensitive data.

Yes, FastAPI services can be integrated with databases, message queues, and third-party APIs using asynchronous connections, secure communication, and structured service layers, with FastAPI developers handling the full integration process. Built-in support for async ORMs, background tasks, and event-driven workflows ensures reliable data exchange and smooth system communication.

Performance optimization, concurrency, and background tasks are handled using asynchronous request processing, non-blocking I/O, and efficient dependency management, with FastAPI developers applying these techniques across API workflows. Support for async and await enables high concurrency, while built-in background task execution allows long-running processes to run without slowing down API responses.

Strong experience includes working with async frameworks for non-blocking request handling, using ORMs to manage database operations efficiently, and generating clear OpenAPI documentation. FastAPI developers should know how to build asynchronous endpoints, manage database sessions safely, and maintain accurate, auto-generated API documentation that supports smooth integration and collaboration.

FastAPI developers collaborate by defining clear API contracts, sharing auto-generated OpenAPI documentation, and aligning on data formats and workflows. Coordination with frontend teams ensures smooth API consumption, while collaboration with DevOps engineers supports deployment, monitoring, and scaling. Close work with data teams helps maintain reliable data access, validation, and analytics integration across services.

A company should hire a FastAPI developer when the project requires high-performance, asynchronous APIs, clear API contracts, and fast scalability. FastAPI expertise is especially valuable for real-time applications, microservices, and data-driven platforms where concurrency, speed, and reliable API documentation are critical.