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AKSHAYA BALAKRISHNAN
AI Frontend Engineer building React, Next.js & FastAPI apps
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Munich, Germany
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Munich, Germany
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An interactive analytics dashboard exploring energy-efficiency trade-offs across Europe, built from my Master's thesis research. Features AI-powered forecasting, predictive insights, risk estimation, and real-time analysis tools for energy consumption patterns. Built with React, D3.js, and TypeScript on the frontend with a FastAPI/Python backend, using an editorial design with a muted purple palette. Refactored from a 900-line monolith into a clean, modular 19-file architecture.
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An AI-native EHR landing page for a fictional healthcare platform that unifies fragmented patient data into a single clinical view. Built with Next.js, TypeScript, and TailwindCSS — features AI-powered clinical note summarization, care gap alerts, HL7/FHIR interoperability messaging, and audit-ready logging. Clean, trust-focused UI designed for clinician and healthcare-buyer confidence, with HIPAA/SOC2-style trust signals, tiered pricing, and full responsiveness.
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FinFlow — Fintech SaaS Landing Page Production-ready B2B SaaS landing page for a fintech analytics platform. Built with Next.js 14, TypeScript and TailwindCSS. Features dark theme, scroll animations, pricing tiers, testimonials, and fully responsive design. Deployed on Vercel. finflow-dashboard-lilac.vercel.app (https://finflow-dashboard-lilac.vercel.app)
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Clarivo AI — Document Intelligence SaaS AI-powered SaaS platform that transforms documents into answers, insights, and actions. Built with Next.js, TypeScript, Tailwind CSS, and integrated with Claude/GPT-4 APIs for real-time document analysis. Features: → LLM-powered document Q&A → Streaming AI responses → Modern SaaS landing page → Responsive design Live: ai-saas-landing-page-henna.vercel.app (http://ai-saas-landing-page-henna.vercel.app)
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