As a seasoned AI Engineer specializing in intelligent system design, I drive innovation in AI-powered platforms that transform complex workflows. My expertise spans full-stack development, cloud architecture, and machine learning, with a focus on building scalable solutions that bridge cutting-edge AI research with real-world applications.

I spearhead AI research and development for next-generation interviewing systems, architecting AI agents capable of conducting dynamic, context-aware candidate assessments. By leveraging large language models (LLMs) like ChatGPT and advanced NLP techniques, I’ve engineered conversational AI that delivers personalized interview experiences, curates role-specific questions, and analyzes candidate responses to optimize hiring accuracy. My work integrates ethical AI practices to ensure fairness and transparency in automated decision-making.

Proficient in Python, AWS, and DevOps, I design robust backend architectures (Django, FastAPI) and intuitive frontend interfaces (React.js, Next.js) to deploy AI-driven applications. My technical toolkit includes distributed systems, microservices, and MLOps pipelines using Docker, Kubernetes, and CI/CD frameworks, enabling seamless scaling of ML models from prototyping to production. I excel at optimizing LLM integrations for natural language interactions, reinforcement learning systems, and knowledge-based reasoning, ensuring low-latency performance in enterprise environments.

Beyond AI/ML, I bring deep expertise in SQL/NoSQL databases, cloud-native development, and the ELK stack for data orchestration. A advocate for collaborative innovation, I mentor teams in adopting SOLID principles, design patterns, and agile practices to deliver maintainable, future-proof solutions.

My passion lies in solving high-impact challenges—whether automating workflows with intelligent agents, enhancing user experiences through adaptive AI, or advancing ethical machine learning. Let’s connect to explore how AI can redefine possibilities in your domain.