Scientific Artificial Intelligence

Genesis Codes

AI Engineering and Intelligent Systems

Genesis Codes builds production‑ready AI: LLM applications, retrieval‑augmented generation (RAG), NLP, computer vision, and automation—delivered with strong backend, data, and cloud engineering. We translate complex requirements into reliable systems that scale.

From Prototype to Scalable Intelligence

• LLM apps and assistants (OpenAI, custom fine‑tunes, tool use, function calling)

• RAG pipelines for high‑accuracy enterprise search and document automation

• Computer vision and OCR for forms, images, medical data

• Data platforms and APIs (Spark, Kafka, BigQuery, FastAPI, Django)

• Cloud‑native deployment on AWS/GCP with Docker, Kubernetes, Terraform

• MLOps, observability, and CI/CD for reliable releases

Tools we use

OpenAI, PyTorch, TensorFlow, scikit‑learn, Hugging Face, LangChain, YOLO, OpenCV, Spark, Kafka, BigQuery, PostgreSQL, MongoDB, Redis, FastAPI, Django, REST/GraphQL, AWS, GCP, Docker, Kubernetes, Terraform, GitHub Actions, Jenkins, Prometheus, Grafana, and more.

Capabilities

LLMs and NLP

• Assistants, agents, tool calling, structured outputs

• Domain‑tuned prompts and fine‑tunes (OpenAI, Hugging Face)

• Retrieval pipelines for grounded answers and auditability

RAG and Search

• Vector stores and hybrid search

• Chunking, citation, evaluation, and safety guardrails

• Document ingestion, OCR, metadata enrichment

Computer Vision and OCR

• Image/form processing, entity extraction, YOLO/OpenCV pipelines

• Healthcare and scientific imaging workflows

APIs, Data, and Microservices

• Python, C++, Java, Go, Rust, TypeScript

• FastAPI, Django, GraphQL; PostgreSQL, MongoDB, Redis

• Spark, Kafka, BigQuery; Pandas/NumPy analytics

Cloud and DevOps

• AWS/GCP architecture, Docker, Kubernetes, Terraform

• CI/CD (GitHub Actions, Jenkins), monitoring (Prometheus, Grafana), tracing and logging

• Cost/performance optimization and SLOs

Computer Vision and OCR

• Image/form processing, entity extraction, YOLO/OpenCV pipelines

• Healthcare and scientific imaging workflows

Security and Compliance

• Secure development lifecycle, model security, data privacy

• HIPAA‑aligned patterns, ISO‑style controls, access governance

Plan. Build. Deploy. Improve.

Step 1:

Discover: goals, data, constraints, compliance needs

Step 2:

Design: architecture, model strategy, eval plan

Step 3:

Build: services, prompts/models, data and infra

Step 4:

Deploy: CI/CD, monitoring, security, documentation

Step 5:

Improve: evals, cost/perf tuning, feature roadmap

Custom Intelligence

Bring us your problem; we’ll bring you a plan, a roadmap, and working software.