Akash M.

𝐈 𝐝𝐞𝐬𝐢𝐠𝐧 𝐚𝐧𝐝 𝐛𝐮𝐢𝐥𝐝 𝐋𝐋𝐌-𝐛𝐚𝐬𝐞𝐝 𝐚𝐠𝐞𝐧𝐭𝐬 𝐚𝐧𝐝 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐭𝐡𝐚𝐭 𝐫𝐮𝐧 𝐢𝐧 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧. 𝐌𝐲 𝐰𝐨𝐫𝐤 𝐬𝐢𝐭𝐬 𝐚𝐭 𝐭𝐡𝐞 𝐢𝐧𝐭𝐞𝐫𝐬𝐞𝐜𝐭𝐢𝐨𝐧 𝐨𝐟 𝐀𝐈 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐚𝐧𝐝 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧. 𝐈 𝐛𝐮𝐢𝐥𝐝 𝐚𝐠𝐞𝐧𝐭𝐬 𝐭𝐡𝐚𝐭 𝐡𝐚𝐧𝐝𝐥𝐞 𝐜𝐨𝐦𝐩𝐥𝐞𝐱, 𝐦𝐮𝐥𝐭𝐢-𝐬𝐭𝐞𝐩 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 (𝐝𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠, 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬, 𝐢𝐧𝐭𝐞𝐫𝐧𝐚𝐥 𝐭𝐨𝐨𝐥𝐢𝐧𝐠, 𝐫𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬), 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐞 𝐭𝐡𝐞𝐦 𝐢𝐧𝐭𝐨 𝐭𝐡𝐞 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 𝐭𝐞𝐚𝐦𝐬 𝐚𝐥𝐫𝐞𝐚𝐝𝐲 𝐮𝐬𝐞, 𝐚𝐧𝐝 𝐦𝐚𝐤𝐞 𝐬𝐮𝐫𝐞 𝐭𝐡𝐞𝐲'𝐫𝐞 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐞𝐧𝐨𝐮𝐠𝐡 𝐭𝐨 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐝𝐞𝐩𝐞𝐧𝐝 𝐨𝐧. Most of my recent projects involve working directly with CTOs and technical founders to move fast across multiple initiatives — shipping working systems in weeks, not months, then iterating based on what the data and the users tell us. 𝗪𝗵𝗮𝘁 𝗜 𝗯𝘂𝗶𝗹𝗱: → 𝐋𝐋𝐌-𝐛𝐚𝐬𝐞𝐝 𝐚𝐠𝐞𝐧𝐭𝐬 & 𝐦𝐮𝐥𝐭𝐢-𝐚𝐠𝐞𝐧𝐭 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 — autonomous agents with prompt logic, tool use, memory, planning, and error recovery. I design multi-agent orchestration architectures where specialized agents collaborate, delegate, and validate each other's work to handle tasks that a single prompt chain can't. → 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 — end-to-end pipelines where AI agents make decisions, call APIs, process documents, route information, and escalate intelligently. Not just linear automations — workflows that adapt, retry, and handle edge cases without human babysitting. → 𝐀𝐈-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐢𝐧𝐭𝐞𝐫𝐧𝐚𝐥 𝐭𝐨𝐨𝐥𝐬 support agents trained on your docs and tone, document processors that extract and route information, smart dashboards that surface what matters. Tools that save 10+ hours a week and actually get adopted. → 𝐒𝐲𝐬𝐭𝐞𝐦 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬: connecting SaaS platforms, APIs, databases, and AI layers into workflows that feel seamless. Shopify, Gorgias, Slack, Stripe, QuickBooks, CRMs, ad platforms, custom APIs whatever the stack requires. 𝗥𝗲𝗰𝗲𝗻𝘁 𝘄𝗼𝗿𝗸 𝗶𝗻𝗰𝗹𝘂𝗱𝗲𝘀: • NABLA: AI clinical documentation agents converting conversations into structured medical notes. • DELFOS ENERGY: Automated monitoring and prediction pipelines processing real-time sensor data at scale. • MAGIC SCHOOL: LLM-powered education agents for adaptive lesson planning and curriculum generation • TEMPUS: Multi-source data automation pipelines integrating clinical and molecular datasets • KITE THERAPY: AI-driven intake and matching systems optimizing care access through outcome-based learning. 𝐒𝐭𝐚𝐜𝐤: • 𝐋𝐋𝐌𝐬 & 𝐀𝐈: GPT-4, Claude, , OpenAI API, function calling, RAG, custom agent orchestration • 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: n8n, Make, Zapier, custom Python/Node pipelines, cron scheduling, queue systems • 𝐁𝐚𝐜𝐤𝐞𝐧𝐝: Python (FastAPI), Node.js, PHP, Firebase, MongoDB, PostgreSQL, SQL • 𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝 & 𝐭𝐨𝐨𝐥𝐬: Next.js, React, Webflow, Framer, Softr, Bubble • 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬: REST, GraphQL, webhooks, Shopify, Gorgias, Stripe, Slack, Google Workspace, ad platform APIs • 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞: AWS, GCP, serverless, containerized deployments I work best with teams that move fast, communicate clearly, and want someone who can own the technical execution end to end. 𝐇𝐚𝐩𝐩𝐲 𝐭𝐨 𝐬𝐭𝐚𝐫𝐭 𝐰𝐢𝐭𝐡 𝐚 𝐟𝐨𝐜𝐮𝐬𝐞𝐝 𝐞𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐚𝐧𝐝 𝐞𝐱𝐩𝐚𝐧𝐝 𝐟𝐫𝐨𝐦 𝐭𝐡𝐞𝐫𝐞.