Hikmah Technologies
Your fractional data engineer.
I'm Arshad Ansari. I build lean data platforms and AI automation for seed-to-Series-B teams — without the $150–200k hire or the six-month search — and I run the same stack in production myself. Three live systems, internals public, so you can check the work before you pay for it.
Book a free 30-minute scoping call2 audit slots a month · 1 build slot at a time — currently open·What “fractional” means →
Trusted by teams at
Selected Work
Systems I've designed and built
From real-time macro analysis to enterprise compliance to high-throughput financial data processing — each represents a different kind of data challenge.
Financial Analytics
Stockopedia
Designed and built the core data-engineering platform powering stock analysis for investors across Europe — high-throughput pipelines processing financial data across global markets.
Read the case study →Compliance / Internal Audit
Sehati
Built an end-to-end internal audit tool covering the full audit lifecycle — planning, risk assessment, workflow automation and real-time reporting for compliance teams.
Read the case study →Industrial / B2B
VC Solutions
Designed and shipped a fast, SEO-focused marketing and lead-generation website for an MPCB-licensed industrial solvents and scrap-metal trading business in Maharashtra and Gujarat.
Read the case study →Real Estate
Manas Realty
Built a modern marketing website for a real-estate firm operating since 1991 — project showcase, services and enquiry capture, with privacy-friendly analytics.
Read the case study →Products
Products I build and run
The consulting expertise is proven in production — through my own products, from Shariah-compliant investing to open-source infrastructure.
Ansaar
AI-powered Shariah-compliant investing platform
A trading and investment platform for Indian retail investors with a Shariah-compliance focus — equity, crypto and ETF screeners, institutional "whale-watcher" signals, market-regime classification and ML-driven predictions.
Domain Posture
Audit-grade domain hygiene reports
Signed, hash-chained PDF evidence packs covering DNS, email authentication (SPF / DMARC / DKIM), TLS, security headers and CORS — defensible reports you can hand to auditors and customers.
Quantamental
Global macro & central-bank credibility analytics
A macro-analysis platform scoring central-bank credibility and tracking macro fundamentals across 171 countries — built on ten free public data sources (World Bank, IMF, ILO, BIS, FRED, OECD and more) and refreshed daily.
KoyraCloud
Open SourceOpen-source self-hosted PaaS for Docker Swarm
An open-source (AGPL-3.0) platform-as-a-service that brings a Vercel/Render-style push-to-deploy experience to your own infrastructure — image builds, auto-TLS subdomains, persistent storage, workers and cron jobs on Docker Swarm.
Featured · Open Source
MITAEGIS
A self-hosted, flow-first personal AI orchestration platform
A small fleet of named agents run durable workflows over my own data — tasks, money, knowledge, homelab alerts — and ask for a decision only when they actually need one. It is the system I run my own days on, now open source for anyone to fork.
- →Durable, flow-first automation on Temporal
- →One human-in-the-loop primitive for every decision
- →Local-LLM-first, self-hosted, bring-your-own everything
Services
How I can help
Data Platform Audit
A fixed-price teardown of your data stack. In one week you get a ranked fix-list, a cost model comparing your spend to a lean rebuild, and a small proof-of-concept on your own stack. $3,000 — and if it doesn't surface fixes or savings worth more than the fee, you don't pay.
Data Platform Build
I build the whole path — from your source systems into a warehouse (DuckDB, ClickHouse or Postgres) and out to dashboards your team can trust. One senior engineer, delivered in weeks, priced against what the hire or the DIY quarter would really cost you.
AI Automation Build
I build AI automation that runs in production, not in a demo: approval-gated agents, document-to-table pipelines, and natural-language-to-SQL with guardrails — so an LLM can do real work without doing something you cannot undo.
About
A bit about me
I'm Arshad — a data engineer with over 15 years of experience building systems that process, analyze, and act on data at scale. Most of my career has been in financial services, including building the core data platform at Stockopedia, where I designed the engineering backbone that powers stock analysis for investors across Europe.
I'm the author of Local-First Analytics (read it free), a Databricks technology partner, and I run Hikmah Technologies as a focused consulting practice — helping companies get their data infrastructure right the first time.
FAQ
Common questions
What does Hikmah Technologies actually do?
I build two things for you: lean data platforms — pipelines, a warehouse, dashboards — and AI automation that runs in real operations with human approval gates. It is a solo practice run by Arshad Ansari, so you work directly with the person building the system, not an account manager.
How do I know you can actually build this?
Because you can check before you hire me. I run three systems in production: AEGIS, an open-source AI automation platform you can read line by line at github.com/hikmahtech/aegis; Ansaar, a trading data platform live at ansaar.in with 4,912 pipeline partitions backfilled at 99.9%; and Quantamentry, a macro-data product at quantamentry.com scoring 171 countries daily. Most consultants show logos — I show you the source.
Do I need to hire a data team?
No — that is the point. I design, build and run the whole stack solo, from ingestion to warehouse to dashboards, and hand it over documented. A senior data engineer is a six-figure annual commitment and months of hiring; a scoped build with me is delivered in weeks.
Why not just hire a full-time data engineer?
If you truly have 40 hours a week of data work and $150–200k plus months to hire, you should. Most seed-to-Series-B teams have neither: the work is lumpy — heavy while the platform goes up, light once it runs. A fractional senior engineer gives you the judgement without the salary, and everything I build is documented and handed over, so you can hire into a working platform later instead of hiring someone to invent one.
How do engagements and pricing work?
Most projects start with the Data Platform Audit — $3,000 fixed, one week, guaranteed: if it doesn't surface fixes or savings worth more than the fee, you don't pay. If we go further, builds are scoped in weeks and priced against your real alternatives: a cloud-warehouse bill, or the cost of a senior hire — and the audit fee comes off the build price. Capacity is real, not marketing: two audits a month, one build at a time. The first step is always a free 30-minute scoping call.
Is it risky to let an AI agent take actions in my business?
It is, if the agent has free rein — so I do not build it that way. Every action that matters routes through a human approval gate before it happens, and everything is logged and traceable. AEGIS, my open-source platform, works exactly this way: 42 permission-gated tools, every human handoff a single record you approve or reject. You can read the code.
My cloud-warehouse bill keeps growing. Can you help?
Usually, yes. A lot of warehouse spend comes from paying per query for workloads that fit comfortably in DuckDB, ClickHouse or Postgres on right-sized infrastructure. The Data Platform Audit maps exactly where your money is going and what a leaner setup would cost — that is often where the audit pays for itself.
Need a data platform or AI automation built?
I take on a small number of projects at a time so I can do them well. The first step is a free 30-minute scoping call — most builds start with a $3,000 fixed-price audit whose fee comes off the build.
Book a free scoping callOr email [email protected]