How a Boston-based maritime analytics firm accessed niche frontend, architecture, QA, and AI talent - part-time, on demand, within budget.
Leading Independent Maritime Intelligence Firm - Boston, USA
One of the world's foremost independent maritime analytics and advisory firms, founded in the early 1980s and headquartered in Boston, with offices in London and Oslo. For over four decades, the firm has supplied quantitative models, market intelligence, and risk advisory services to shipowners, banks, and charterers navigating global shipping markets. Their platform serves senior decision-makers at financial institutions and shipping companies, delivering proprietary forecasts, valuation tools, and scenario-based risk analytics. The depth of their models - built on 40-plus years of maritime data - is a core competitive asset.
Senior niche skills, within budget, without over-committing on headcount
The firm's Technical Leader had a clear brief: find senior specialists with niche skills, without bloated full-time hiring costs. Standard US recruitment timelines and day rates were prohibitive for project-scoped engagements. GigsRemote's model - pre-vetted senior contractors from Bulgaria, available part-time, operating in a timezone that extends into US business hours - proved an ideal fit.
Frontend Enhancement and D3.js Data Visualisation
The Challenge
The firm's market reports are its primary client-facing product, containing complex datasets - shipping cycle forecasts, vessel valuation curves, risk scenario outputs - that demand clear, sophisticated visual presentation. Existing chart implementations needed a significant quality uplift before the platform could meet standards expected by C-suite and institutional users. D3.js is a genuinely niche skill: generalist frontend developers rarely have meaningful production experience with it, and finding someone with both D3.js depth and the design sensibility to polish financial-grade charts is a narrow ask.
What Was Delivered
Timezone advantage: The Bulgarian consultant's natural working day ended around 18:00 CET, which is midday US Eastern. Their evening hours mapped directly onto the client's core working day, enabling real-time collaboration without either party working outside normal hours.
System Modernisation — Monolith to Microservices
The Challenge
The firm's core platform had been built as a monolithic application - a common starting point that becomes a strategic liability as products scale. Growing feature complexity and a shift toward cloud-native infrastructure made decomposing the monolith into microservices a business priority. The client had a small development presence in Bulgaria as well as their US-based engineering team, and needed a senior architect who could bridge both groups - someone with the technical authority to lead the decomposition strategy and the communication skills to align two teams across geographies.
What Was Delivered
Cost angle: A senior cloud and microservices architect in the US market commands day rates that make part-time consultancy economically unattractive at that level. GigsRemote's access to equally experienced Bulgarian architects at CEE cost structures made a 160-hour architectural engagement viable within the client's budget.
Quality Automation — Building a Selenium Testing Framework
The Challenge
The firm had relied on manual testing for functional verification as the platform grew. As complexity accelerated following the microservices migration, manual testing could no longer keep pace with release frequency. The goal was not to replace the manual tester but to build an automated testing layer from scratch - starting deliberately small, proving the framework, and expanding coverage progressively. They needed a quality engineer who could architect and implement this foundation, not just execute scripts.
What Was Delivered
AI Pilot — LLM Queries Against Proprietary Market Reports
The Challenge
The opportunity was clear: could clients interact with the firm's proprietary maritime intelligence conversationally, asking natural-language questions against decades of reports and receiving accurate, grounded answers? Implementing this required more than plugging in an off-the-shelf language model. The firm's data is structured around maritime-specific concepts, and accuracy is non-negotiable — hallucinated shipping forecasts carry real financial risk for clients. The solution required a consultant who could work with an existing proprietary model and optimise it for this specific domain.
What Was Delivered
Strategic significance: This project marks the start of an AI practice for a 40-year-old firm that has historically competed on human expertise and proprietary models. A well-executed pilot - scoped tightly and delivered by a specialist — is how mature firms enter this space without the risks of a rushed or over-engineered AI programme.
| Project | Skills | Hours | Outcome |
|---|---|---|---|
| Frontend and D3.js | D3.js, JS, CSS, UX | 170 | Polished interactive report visualisations delivered |
| Microservices Architecture | Cloud architecture, distributed systems | 160 | Decomposition strategy complete, both teams upskilled, standards set |
| QA Automation | Selenium, test framework design | 90 | Automated framework built from scratch, knowledge transfer complete |
| AI / LLM Pilot | LLM, prompt engineering, Python | 120 | Working AI query pilot against proprietary reports, ready for evaluation |
"I've been using GigsRemote for about a year already for different software projects, varying from ad-hoc consultancy to development and strategic transformation projects. They managed to find senior specialists with niche skills for all of the requests I've had. They've helped us keep within budgets, but without quality sacrifice. I am really happy with their service and especially when it comes to part-time engagements, I know I can trust them with finding the right people for the job."
Part-time or full-time, project-scoped or long-term - GigsRemote finds the right person for the role.
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