Tarun B.

𝐈 𝐛𝐮𝐢𝐥𝐝 𝐀𝐈 𝐚𝐧𝐝 𝐌𝐋 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐭𝐡𝐚𝐭 𝐫𝐮𝐧 𝐨𝐧 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐝𝐚𝐭𝐚, 𝐬𝐞𝐫𝐯𝐞 𝐚𝐜𝐭𝐮𝐚𝐥 𝐮𝐬𝐞𝐫𝐬, 𝐚𝐧𝐝 𝐡𝐨𝐥𝐝 𝐮𝐩 𝐰𝐡𝐞𝐧 𝐭𝐡𝐞 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐝𝐞𝐩𝐞𝐧𝐝𝐬 𝐨𝐧 𝐭𝐡𝐞𝐦.. Six years across applied AI, machine learning, LLM-based systems, and automation, spanning real estate intelligence, EdTech platforms, and eCommerce operations. What stays consistent across all of it is one thing: 𝗜 𝗱𝗼𝗻'𝘁 𝗷𝘂𝘀𝘁 𝗱𝗲𝘀𝗶𝗴𝗻 𝘁𝗵𝗲 𝘀𝘆𝘀𝘁𝗲𝗺, 𝗜 𝘀𝘁𝗮𝘆 𝗶𝗻𝘀𝗶𝗱𝗲 𝗶𝘁 𝘂𝗻𝘁𝗶𝗹 𝗶𝘁 𝗵𝗼𝗹𝗱𝘀 𝘂𝗽 𝗮𝘁 𝘀𝗰𝗮𝗹𝗲 handling edge cases, integrations, monitoring, and everything that surfaces after launch. 𝐖𝐡𝐚𝐭 𝐈 𝐰𝐨𝐫𝐤 𝐨𝐧: ✅ 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 & 𝗟𝗟𝗠 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 : multi-step agents, RAG pipelines, copilots, conversational and decision-driven AI ✅ 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 : data-driven models applied to real operational data, not synthetic benchmarks ✅ 𝗔𝗣𝗜-𝗯𝗮𝘀𝗲𝗱 𝗔𝗜 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀 : connecting AI into existing products and internal tools without rebuilding everything ✅ 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 : automating repetitive decision and communication workflows end to end ✅ 𝗣𝗿𝗼𝘁𝗼𝘁𝘆𝗽𝗲 𝘁𝗼 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 : taking AI builds that exist on paper or in early code and making them deployable ✅ 𝗣𝗼𝘀𝘁-𝗟𝗮𝘂𝗻𝗰𝗵 𝗜𝗺𝗽𝗿𝗼𝘃𝗲𝗺𝗲𝗻𝘁 : reliability, accuracy, and control improvements after a system is already live 𝐃𝐨𝐦𝐚𝐢𝐧𝐬 𝐈 𝐰𝐨𝐫𝐤 𝐝𝐞𝐞𝐩𝐥𝐲 𝐢𝐧: 1️⃣ 𝗥𝗲𝗮𝗹 𝗘𝘀𝘁𝗮𝘁𝗲 𝗔𝗜 Property appraisal tools, predictive pricing models, buyer/seller qualification bots, CRM-integrated lead scoring, RAG assistants trained on listings and internal data, market trend forecasting, automated follow-up pipelines. 𝗥𝗲𝗮𝗹 𝗲𝘀𝘁𝗮𝘁𝗲 𝗿𝘂𝗻𝘀 𝗼𝗻 𝗱𝗮𝘁𝗮, 𝗜 𝗯𝘂𝗶𝗹𝗱 𝘁𝗵𝗲 𝗹𝗮𝘆𝗲𝗿 𝘁𝗵𝗮𝘁 𝘁𝘂𝗿𝗻𝘀 𝘁𝗵𝗮𝘁 𝗱𝗮𝘁𝗮 𝗶𝗻𝘁𝗼 𝗮𝗰𝘁𝘂𝗮𝗹 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀. 2️⃣ 𝗘𝗱𝗧𝗲𝗰𝗵 𝗔𝗜 & 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 Personalized learning plans, adaptive assessment engines, knowledge assistants for course platforms, student performance prediction, AI-based evaluation systems, automated content generation. 𝗜𝗻 𝗘𝗱𝗧𝗲𝗰𝗵, 𝗽𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗶𝘀 𝘁𝗵𝗲 𝗽𝗿𝗼𝗱𝘂𝗰𝘁, 𝗜 𝗯𝘂𝗶𝗹𝗱 𝘁𝗵𝗲 𝗲𝗻𝗴𝗶𝗻𝗲𝘀 𝘁𝗵𝗮𝘁 𝗱𝗲𝗹𝗶𝘃𝗲𝗿 𝗶𝘁. 3️⃣ 𝗲𝗖𝗼𝗺𝗺𝗲𝗿𝗰𝗲 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 Product recommendation engines, demand forecasting, customer segmentation, conversational sales assistants, inventory optimization, AI-driven email marketing, review analysis and sentiment modeling. Shopify APIs, Stripe, CRM systems, marketing automation stacks. 𝗲𝗖𝗼𝗺𝗺𝗲𝗿𝗰𝗲 𝘀𝘂𝗰𝗰𝗲𝘀𝘀 𝗱𝗲𝗽𝗲𝗻𝗱𝘀 𝗼𝗻 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗶𝗻𝘀𝗶𝗴𝗵𝘁, 𝗜 𝗯𝘂𝗶𝗹𝗱 𝗯𝗼𝘁𝗵. ⚙️ 𝐓𝐞𝐜𝐡: 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 & 𝗔𝗜: Python · FastAPI · Flask · Node.js · OpenAI API · Vector databases (Pinecone, Supabase, custom embeddings) 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: n8n · Make · CRM integrations · Stripe · Email automation 𝗖𝗹𝗼𝘂𝗗: AWS (EC2, Lambda, S3) · Docker · Scalable SaaS deployment 𝑰𝒇 𝒚𝒐𝒖'𝒓𝒆 𝒃𝒖𝒊𝒍𝒅𝒊𝒏𝒈 𝒔𝒐𝒎𝒆𝒕𝒉𝒊𝒏𝒈 𝒊𝒏 𝒓𝒆𝒂𝒍 𝒆𝒔𝒕𝒂𝒕𝒆, 𝒆𝒅𝒖𝒄𝒂𝒕𝒊𝒐𝒏, 𝒐𝒓 𝒆𝑪𝒐𝒎𝒎𝒆𝒓𝒄𝒆 𝒂𝒏𝒅 𝒏𝒆𝒆𝒅 𝒕𝒉𝒆 𝑨𝑰 𝒍𝒂𝒚𝒆𝒓 𝒕𝒐 𝒉𝒂𝒏𝒅𝒍𝒆 𝒓𝒆𝒂𝒍 𝒅𝒂𝒕𝒂 𝒂𝒏𝒅 𝒎𝒂𝒌𝒆 𝒓𝒆𝒍𝒊𝒂𝒃𝒍𝒆 𝒅𝒆𝒄𝒊𝒔𝒊𝒐𝒏𝒔 𝒇𝒆𝒆𝒍 𝒇𝒓𝒆𝒆 𝒕𝒐 𝒔𝒉𝒂𝒓𝒆 𝒘𝒉𝒂𝒕 𝒚𝒐𝒖'𝒓𝒆 𝒘𝒐𝒓𝒌𝒊𝒏𝒈 𝒐𝒏.