Freelance studio
Websites, AI automation, and end-to-end ML — built for teams who need reliability.
Nexariq is a freelancing studio delivering custom web products, AI automation, and full AIML solutions. We work especially closely with healthcare and real estate teams.
What we deliver
One partner for the full arc: discovery, build, and iteration — with clear handoffs and documentation.
Website & product development
Marketing sites, client portals, and data-heavy web apps. We align UX, performance, and your stack (Next.js, React, or static generators when speed matters).
AI automation
Connect models and APIs to your tools: triage, routing, document workflows, and monitoring — so your team gets leverage without babysitting scripts.
End-to-end AIML solutions
From data checks and baselines to training, evaluation, and deployment patterns — including computer vision, multimodal, and distributed setups when you need them.
Sectors we focus on
Depth in healthcare and real estate; we also take a limited number of cross-industry web and AI builds when the fit is strong.
Healthcare & life sciences
We are comfortable with clinical-adjacent ML (imaging, alerts, and governance), federated workflows, and the pace of regulated environments — without compromising on clear metrics and test plans.
Real estate & property
Listings, lead funnels, calendaring, and ops dashboards: the same product discipline we bring to fintech and events — tailored to your brokerage or developer brand.
Selected work
Representative builds from our own research and product-style repos — not client-confidential work. Ask us for references tailored to your use case.
- MMLLM-MedXAI
MMLLM-MedXAI — Histopathology & federated learning
End-to-end breast cancer patch classification: attention-enhanced CNNs (EFSANet) and a federated pipeline with alert-optimized aggregation for clinical-style thresholds on PatchCamelyon and BreakHis.
- Centralized and federated tracks with ablations and logged benchmarks
- Designed for high-precision operating points relevant to clinical workflows
PythonPyTorchFederated learningMedical imagingHealthcare · AI/ML R&D
- Multi-Modal/PinPoint
PinPoint — Multimodal deepfake detection
Interpretable multimodal model for synthetic media forensics, with high validation accuracy, explainability (TCAV and related XAI), and a research-grade evaluation loop.
- Strong model performance on LAV-DF family benchmarks
- Focus on interpretability for real-world triage, not a black box
PythonMultimodal MLXAICVTrust & safety · Media · AI/ML R&D
- jsm_banking
Banking web platform (JSM-style)
A full Next.js fintech experience: Plaid account linking, secure flows, Appwrite backend, Sentry, charts, and a polished app-router UI — a reference for data-heavy, regulated-style web products.
- End-to-end patterns you can adapt to CRM, ops dashboards, and portals
- Real integrations rather than a static marketing page
Next.jsPlaidAppwriteReactTypeScriptTailwindFinancial services · SaaS
- compere
Compere — Community & events platform
Film-screening community app: hero and listings, movie and screening management, customer bookings, UPI payment deep links, gallery, and a full admin surface — all on Next.js and Convex.
- Production-style CRUD, auth patterns, and payments in one product
- Demonstrates the same building blocks as booking-heavy industries (e.g. real estate showings, hospitality)
Next.js 15ConvexShadcn UIUPITypeScriptEvents · Communities · E-commerce patterns
- dhrumi-website
Dhrumi — Custom marketing site
A content-forward marketing experience built with Astro, Tailwind, and GSAP for motion and scroll-driven storytelling — the kind of high-performance brochure site we ship for individuals and small brands.
- Static-first performance with selective animation, not a heavy SPA
AstroTailwindGSAPViteBrand & web · Real estate & professional services (brochure sites)
- mauj-planner
Mauj planner — Festival itinerary engine
Python + Streamlit app that turns a complex festival program into an optimal personal itinerary with dynamic programming — logistics automation with clear business rules (coverage, time windows, days minimization).
- Shows how we translate operational constraints into maintainable code
PythonStreamlitPandasDynamic programmingEvents · Logistics · Internal tools
Contact
Tell us about your timeline, stack, and success criteria. We will reply with next steps and, when useful, a short discovery call.
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