I am Md Asif Iqbal, a strategic AI Engineer and Tech Lead specializing in building high-performance, privacy-centric architectures that bridge the gap between complex engineering and business growth. With a unique background that combines deep technical expertise with a Master’s in Business Administration (MBA), I help clients transform ambitious visions into scalable, production-ready software systems.
Throughout my career, I have led the end-to-end development of sophisticated AI-powered platforms, most recently serving as Tech Lead for an enterprise recruitment ecosystem. I architected the “OpenTalent” platform, a breakthrough local-first system that utilizes offline LLMs like IBM Granite and Ollama to ensure 100% data sovereignty and GDPR compliance. My experience spans designing microservices with FastAPI, building intelligent agent frameworks using LangChain, and implementing robust, cloud-native infrastructures on AWS and GCP. I am a firm believer in technical excellence, consistently delivering projects with over 90% test coverage through Test-Driven Development (TDD) and Zero Trust security frameworks.
What truly makes me stand out is my “Business-First” approach to engineering. While I am deeply immersed in cutting-edge tech like agentic workflows and blockchain, my focus is always on the commercial viability and strategic impact of the product. I don’t just write code; I build secure, cost-effective, and compliant systems that solve real-world problems. Whether you need to architect a decentralized application or integrate advanced AI agents into your workflow, I bring the leadership and technical rigor necessary to deliver enterprise-grade results on schedule.
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As the Architect and Lead Developer for OpenTalent, I spearheaded the creation of a desktop-first, privacy-centric technical interview platform designed to ensure complete data sovereignty by eliminating cloud dependency. The technical architecture featured a 100% offline-capable microservices ecosystem built with Python (FastAPI) for backend logic and Electron with React for the frontend interface. To ensure privacy and cost-efficiency, I integrated Ollama to run enterprise-grade LLMs like IBM Granite 4 directly on user devices, achieving full GDPR and CCPA compliance without external API costs. The platform also utilized Piper TTS for real-time, low-latency voice interaction to simulate natural conversational flows. Quality was maintained through a hybrid canonical test structure using Pytest in a TDD workflow, consistently achieving 95-100% baseline test coverage across critical microservices such as Security, User, and Notification. My key achievements included auditing and cataloging 271+ API endpoints across 18 microservices to ensure complete schema validation and security compliance, while also implementing enterprise-grade security features like RBAC, JWT authentication, and local encryption without external dependencies. Finally, I engineered a seamless cross-platform deployment strategy leveraging containerized services and local process management to ensure a robust user experience.
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