Ravikant Gautam — Lead ML Engineer

I am an AI Engineer with 5+ years of experience designing and deploying Machine Learning, Generative AI, and analytics solutions that scale across enterprises. My expertise spans LLMs, RAG pipelines, and agentic AI frameworks, with proven success in building enterprise chatbots, anomaly detection systems, and large-scale KPI monitoring platforms. I bring a strong cloud background in AWS and Azure, where I have consistently delivered 40%+ cost savings while ensuring performance, reliability, and scalability. I have led projects that integrated LangChain, HuggingFace, vector databases, and multi-agent AI workflows to solve complex business challenges in telecom and enterprise domains. ✨ Highlights: Built an AI-powered anomaly detection system that reduced alert fatigue by 95%. Delivered an enterprise AI assistant that cut knowledge lookup time by 40%. Designed cloud-native KPI monitoring solutions, scaling to 800+ devices while reducing costs. Optimized cloud infrastructure, saving $3,500+ monthly in operational spend. I’m passionate about creating AI systems that drive measurable business impact, mentoring teams on AI/ML best practices, and bridging the gap between advanced technology and real-world applications.

Stackforce AI infers this person is a SaaS-focused AI Engineer with expertise in cloud solutions and data analytics.

Location: Bengaluru, Karnataka, India

Experience: 5 yrs 8 mos