// Language
Python
Our primary language for AI, data processing, and automation.
60+ Simplileap projects · 7+ years hands-on
// Overview
How we use Python
Python is our go-to language for AI/ML workflows, data processing pipelines, automation scripts, and backend services where the data science ecosystem provides clear advantages. FastAPI, LangChain, pandas, and SQLAlchemy are core to our Python toolkit.
// Use cases
- LLM and AI application backends
- Data processing pipelines
- RPA and automation scripts
- Machine learning model serving
- Web scraping and data collection
// Why it matters
AI/ML ecosystem
LangChain, LlamaIndex, HuggingFace, scikit-learn, PyTorch, the richest AI tooling ecosystem available in any language.
FastAPI productivity
FastAPI with Pydantic provides automatic request validation, OpenAPI documentation, and async support, production-grade APIs with minimal boilerplate.
Data processing
pandas, polars, and DuckDB handle analytics workloads that would be painful in other languages, rapid iteration on data transformation logic.
// Production patterns
How we ship with Python
FastAPI services expose typed endpoints with OpenAPI docs auto-generated, ideal for internal ML model serving and webhook receivers.
RAG pipelines use layout-aware PDF parsing, chunk overlap tuning, pgvector retrieval, and mandatory citation spans before LLM answers reach users.
Celery or RQ workers handle long-running document ingestion; LangSmith traces every LLM call for cost and quality review.
// Integrations
- OpenAI / Anthropic APIs
- LangChain
- Azure Blob ingestion
- UiPath orchestration hooks
// FAQ
Python: common questions
Django or FastAPI?+
Django for admin-heavy internal tools and ORM-rich CRUD. FastAPI for AI microservices and high-throughput APIs.
Do you fine-tune models?+
Rarely on client data. We default to retrieval + prompt engineering with evaluation sets before considering fine-tunes.
How is PII handled in AI flows?+
Redaction before embedding, workspace isolation per matter, and retention policies documented in the SOW.
// Company and service positioning
Company and Service positioning is reviewed for production delivery standards by Harsha Parthasarathy (Co-Founder, Strategy & Operations 24+ years IT veteran, IBM, Global Delivery, Program Management) and Keshav Sharma (Co-Founder, Engineering and Lead Architect, Full-stack engineering, product delivery and technical standards).
// Related services