Mayank C.

I’m a 𝐒𝐞𝐧𝐢𝐨𝐫 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 & 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 specializing in building 𝐀𝐈 𝐒𝐚𝐚𝐒 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬, 𝐋𝐋𝐌-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬, 𝐑𝐞𝐭𝐫𝐢𝐞𝐯𝐚𝐥-𝐀𝐮𝐠𝐦𝐞𝐧𝐭𝐞𝐝 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 (𝐑𝐀𝐆) 𝐬𝐲𝐬𝐭𝐞𝐦𝐬, 𝐯𝐞𝐜𝐭𝐨𝐫-𝐬𝐞𝐚𝐫𝐜𝐡 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, 𝐚𝐧𝐝 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐜𝐥𝐨𝐮𝐝 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞𝐬 𝐨𝐧 𝐀𝐖𝐒. I help founders, startups, and product teams transform ideas into 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐫𝐞𝐚𝐝𝐲 𝐀𝐈 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐬 with clean engineering, robust backend systems, and enterprise-grade infrastructure. 𝐂𝐨𝐫𝐞 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧𝐬 𝐋𝐋𝐌-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐒𝐚𝐚𝐒 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 - User onboarding, dataset upload, training workflows, project management, billing, and analytics. 𝐀𝐈 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬 & 𝐂𝐮𝐬𝐭𝐨𝐦 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 - OpenAI, Anthropic, Gemini, HuggingFace, fine-tuning, embeddings, inference optimization. 𝐑𝐀𝐆 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 / 𝐕𝐞𝐜𝐭𝐨𝐫 𝐒𝐞𝐚𝐫𝐜𝐡 - Pinecone, Weaviate, Qdrant, Milvus, PostgreSQL pgvector, document preprocessing, chunking, hybrid retrieval. 𝐃𝐚𝐭𝐚𝐬𝐞𝐭 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 & 𝐅𝐢𝐧𝐞-𝐓𝐮𝐧𝐢𝐧𝐠 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 - S3 storage, versioning, preprocessing pipelines, GPU orchestration, Vast.ai / AWS Sagemaker. 𝐀𝐖𝐒 𝐂𝐥𝐨𝐮𝐝 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 - S3, Lambda, EC2, CloudFront, API Gateway, SNS/SQS, load balancing, serverless architectures. 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 (𝐑𝐞𝐚𝐜𝐭/𝐍𝐞𝐱𝐭.𝐣𝐬 + 𝐍𝐨𝐝𝐞.𝐣𝐬) - Clean dashboards, admin portals, real-time job tracking, notifications, secure authentication. 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐂𝐡𝐨𝐨𝐬𝐞 𝐌𝐞 - Strong understanding of LLM ops, not just API integration - Experience building full AI platforms, not just chatbots - Enterprise-grade security, architecture, and documentation - Clean, modular, production-ready code (React, Node.js) - Clear communication, structured milestones, and proactive updates - Ability to take projects from MVP → Beta → Production 𝐑𝐞𝐜𝐞𝐧𝐭 𝐀𝐈 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 - 𝐋𝐋𝐌 𝐟𝐢𝐧𝐞-𝐭𝐮𝐧𝐢𝐧𝐠 platform with dataset upload, S3 storage, job scheduling, Vast.ai GPU provisioning, and training logs. - 𝐑𝐀𝐆-𝐛𝐚𝐬𝐞𝐝 𝐤𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐞𝐧𝐠𝐢𝐧𝐞 using pgvector + hybrid retrieval + document preprocessing pipeline. - 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐝𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐬𝐲𝐬𝐭𝐞𝐦 with OCR, embedding generation, and smart tagging. - 𝐀𝐈-𝐝𝐫𝐢𝐯𝐞𝐧 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐬𝐮𝐩𝐩𝐨𝐫𝐭 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 using OpenAI + custom RAG flows. 𝐇𝐨𝐰 𝐈 𝐖𝐨𝐫𝐤 - End-to-end product execution - Clean Git workflow, CI/CD pipelines - Architecture diagrams + technical documentation - Weekly releases & structured milestone tracking - Scalable, maintainable codebases that teams can grow on If you're looking for an engineer who can 𝐝𝐞𝐬𝐢𝐠𝐧, 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭, 𝐚𝐧𝐝 𝐛𝐮𝐢𝐥𝐝 𝐀𝐈 𝐒𝐚𝐚𝐒 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 𝐞𝐧𝐝-𝐭𝐨-𝐞𝐧𝐝, let’s discuss your functional scope and bring your vision to life.