15+

Years of Engineering Experience

4

Production SaaS Platforms Shipped

1,000+

Automated Reports Generated Yearly

12+

Years of Freelance Web Development

What We Do

Six disciplines, one team: from first prototype to systems running in production

Custom Software Development

End-to-end platforms, not prototypes: multi-tenant SaaS with real payment infrastructure, background job processing, and role-based access control. Django, FastAPI, Flask, Node.js/Express, React, TypeScript, PostgreSQL.

Custom software development

Machine Learning & AI

Computer vision classifiers, time series forecasting, and NLP pipelines built with PyTorch, TensorFlow, and Scikit-learn, including deep learning models with cross-validation, attention mechanisms, and full evaluation frameworks.

Machine learning and AI engineering

RAG & AI Assistants

Retrieval-augmented generation for querying large document sets, and conversational AI assistants with contextual chat history. We handle chunking strategy, embeddings, and vector search, with LLM orchestration via LangChain, including local/offline LLM deployment (Ollama) for teams that can't send data to third-party APIs.

RAG and AI assistant systems

Data Engineering & Automation

Large-scale data processing with PySpark, PDF/table extraction pipelines, and RPA automation for repetitive business processes, built to run unattended at volumes of 1,000+ structured documents a year from unstructured sources.

Data engineering and automation

Bioinformatics & Scientific Computing

Genomics and sequencing pipelines: Nanopore basecalling, variant analysis, haplotyping, and NGS/RNA-Seq workflows built with biopython, pysam, and samtools, for research teams and clinical labs that need reproducible, validated processing at scale.

Bioinformatics and scientific computing

Cloud Infrastructure & DevOps

Containerized deployment with Docker, CI/CD pipelines, and infrastructure across AWS, Google Cloud, and budget-conscious providers, plus offline-first mobile architectures with bidirectional sync for field teams working in low-connectivity environments.

Cloud infrastructure and DevOps

How We Work, In Four Steps

01. Discovery Call

We start by understanding your goals, existing systems, and constraints before proposing anything.

02. Scope & Proposal

A clear plan with defined deliverables, timeline, and price, no surprises along the way.

03. Build & Iterate

Regular check-ins as we ship working software in increments, adjusting as we learn.

04. Ship & Support

Launch to production, then monitor and keep iterating with ongoing support if you need it.

How We Work Together

Ways to Engage Us

Fixed-Scope Project

A defined piece of work, such as a new platform, a feature, or an integration, with clear deliverables, timeline, and price.

Ongoing Retainer

Continued development, monitoring, and iteration after launch, billed monthly so you always have engineering capacity on tap.

Embedded / Fractional Engineer

Direct integration into your existing team for architecture reviews, code quality, or specialized ML/AI work.

More Tools We Build With

Redis
Celery
Hugging Face
OpenCV
PySpark
Prophet & statsmodels
TensorFlow

Not Sure Which Service You Need?

Tell us what you're building. We'll help you figure out the right scope and stack.