BACKEND

๐Ÿ”Œ API Development

Building APIs that developers love to use

โฑ๏ธ 10+ Years
๐Ÿ“ฆ 50+ Projects
โœ“ Available for new projects
Experience at: Anaquaโ€ข Flowriteโ€ข Pipelinepharmaโ€ข ActivePrimeโ€ข Crowdboticsโ€ข Virtulab

๐ŸŽฏ What I Offer

REST API Development

Design and build RESTful APIs following best practices and industry standards.

Deliverables
  • Resource-oriented design
  • OpenAPI/Swagger documentation
  • Authentication (OAuth, JWT)
  • Rate limiting and throttling
  • Versioning strategy

GraphQL API Development

Build flexible GraphQL APIs for complex data requirements.

Deliverables
  • Schema design
  • Resolvers and data loaders
  • Subscriptions for real-time
  • Federation for microservices
  • Performance optimization

API Modernization

Upgrade legacy APIs or migrate between API paradigms.

Deliverables
  • API audit and assessment
  • Migration planning
  • Backward compatibility
  • Documentation updates
  • Client SDK generation

๐Ÿ”ง Technical Deep Dive

API Design Principles

Great APIs follow consistent principles:

  • Predictable: Developers can guess the endpoint
  • Documented: OpenAPI spec generated from code
  • Versioned: Changes don’t break clients
  • Performant: Fast response times at scale

My API design approach:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
from fastapi import FastAPI, Query, Path, HTTPException
from pydantic import BaseModel

app = FastAPI(
    title="Product API",
    version="2.0.0",
    description="API for product management"
)

class Product(BaseModel):
    id: int
    name: str
    price: float
    category: str

@app.get("/api/v2/products/{product_id}", response_model=Product)
async def get_product(
    product_id: int = Path(..., description="Product ID"),
    include_related: bool = Query(False, description="Include related products")
):
    """
    Retrieve a product by ID.
    
    - **product_id**: Unique product identifier
    - **include_related**: Optionally include related products
    """
    product = await product_service.get(product_id)
    if not product:
        raise HTTPException(status_code=404, detail="Product not found")
    return product

REST vs GraphQL vs gRPC

Use REST when:

  • Simple CRUD operations
  • Public APIs with many consumers
  • Caching is important (HTTP caching)
  • Team is familiar with REST

Use GraphQL when:

  • Clients need flexible queries
  • Multiple client types (web, mobile)
  • Reducing over-fetching is critical
  • Rapid frontend iteration needed

Use gRPC when:

  • Internal microservice communication
  • High performance requirements
  • Streaming is needed
  • Strongly typed contracts preferred

๐Ÿ“‹ Details & Resources

API Design Best Practices

RESTful Resource Design

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
# Resource-oriented URLs
GET    /api/v2/products           # List products
POST   /api/v2/products           # Create product
GET    /api/v2/products/{id}      # Get product
PUT    /api/v2/products/{id}      # Update product
DELETE /api/v2/products/{id}      # Delete product

# Nested resources
GET    /api/v2/products/{id}/reviews     # Product reviews
GET    /api/v2/categories/{id}/products  # Products in category

# Query parameters for filtering, pagination, sorting
GET    /api/v2/products?category=electronics&sort=-price&page=2&limit=20

OpenAPI Documentation

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
openapi: 3.0.0
info:
  title: Product API
  version: 2.0.0
  description: API for product catalog management

paths:
  /products/{id}:
    get:
      summary: Get product by ID
      parameters:
        - name: id
          in: path
          required: true
          schema:
            type: integer
      responses:
        '200':
          description: Product found
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/Product'
        '404':
          description: Product not found

API Patterns I Implement

PatternUse CaseImplementation
PaginationLarge datasetsCursor-based or offset
FilteringQuery refinementQuery params, operators
Rate LimitingAbuse preventionToken bucket, sliding window
VersioningAPI evolutionURL path, headers
HATEOASAPI discoverabilityLinks in responses
Bulk OperationsBatch updatesArray endpoints

Authentication & Security

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
from fastapi import FastAPI, Depends, HTTPException, Security
from fastapi.security import OAuth2PasswordBearer, APIKeyHeader

# Multiple auth strategies
oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")
api_key_header = APIKeyHeader(name="X-API-Key")

async def get_current_user(token: str = Depends(oauth2_scheme)):
    user = await verify_token(token)
    if not user:
        raise HTTPException(status_code=401, detail="Invalid token")
    return user

async def verify_api_key(api_key: str = Security(api_key_header)):
    if not await is_valid_api_key(api_key):
        raise HTTPException(status_code=403, detail="Invalid API key")
    return api_key

@app.get("/protected")
async def protected_route(user: User = Depends(get_current_user)):
    return {"user": user.email}

API Performance Optimization

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
# Response caching
from fastapi_cache import FastAPICache
from fastapi_cache.decorator import cache

@app.get("/products/{id}")
@cache(expire=300)  # Cache for 5 minutes
async def get_product(id: int):
    return await product_service.get(id)

# Async processing
from fastapi import BackgroundTasks

@app.post("/products")
async def create_product(
    product: ProductCreate,
    background_tasks: BackgroundTasks
):
    result = await product_service.create(product)
    background_tasks.add_task(notify_subscribers, result)
    return result

# Connection pooling
from databases import Database

database = Database(
    DATABASE_URL,
    min_size=5,
    max_size=20
)

Technologies I Use

  • Frameworks: FastAPI, Express, Spring Boot, Django REST
  • Documentation: OpenAPI, Swagger, Redoc
  • Authentication: OAuth 2.0, JWT, API Keys
  • GraphQL: Apollo, Hasura, Strawberry
  • gRPC: Protocol Buffers, gRPC Python/Node
  • Testing: pytest, Postman, k6

Frequently Asked Questions

What is API development?

API development involves creating programmatic interfaces that allow applications to communicate. This includes: designing endpoints, implementing business logic, handling authentication, and creating documentation. APIs are the backbone of modern software.

How much does API development cost?

API development typically costs $100-160 per hour. A simple CRUD API starts around $8,000-15,000, while complex APIs with authentication, rate limiting, and integrations range from $30,000-80,000+.

What makes a well-designed API?

Good APIs have: consistent naming, logical resource organization, proper HTTP status codes, clear error messages, versioning strategy, thorough documentation, and appropriate authentication. I follow industry best practices.

Do you provide API documentation?

Yes. I create OpenAPI/Swagger specifications, interactive documentation, usage examples, and SDK generation. Good documentation reduces support burden and improves developer experience for API consumers.

Can you help design an API for third-party developers?

Yes. Public APIs need special consideration: developer experience, rate limiting, API keys, usage tracking, sandbox environments, and changelog communication. I’ve built APIs used by thousands of developers.


Experience:

Related Technologies: REST APIs, GraphQL, gRPC, FastAPI, Node.js

๐Ÿ’ผ Real-World Results

AI Platform API

Anaqua
Challenge

Design unified API for all AI features across enterprise IP management platform.

Solution

FastAPI-based REST API with OpenAPI documentation, JWT authentication, rate limiting, and thorough error handling. Standardized patterns for AI operations.

Result

Processing 10,000+ daily API requests with 99.9% uptime.

GraphQL API Modernization

Pipelinepharma
Challenge

Replace multiple REST endpoints with flexible GraphQL API for pharmaceutical data.

Solution

Hasura-based GraphQL with custom resolvers, real-time subscriptions, and role-based access control.

Result

Reduced API calls by 60%, improved developer experience.

Multi-CRM Integration API

ActivePrime
Challenge

Build abstraction layer across 6 different CRM APIs.

Solution

Unified REST API with consistent interface regardless of backend CRM. OAuth handling, rate limiting, and error normalization.

Result

Single integration point for all CRM operations.

โšก Why Work With Me

  • โœ“ 10+ years of production API experience
  • โœ“ REST, GraphQL, and gRPC expertise
  • โœ“ API-first design approach
  • โœ“ thorough documentation (OpenAPI)
  • โœ“ Performance optimization at scale