Gouse Mg
Generative AI | Artificial Intelligence | LLM\'s | ETL | Problem Solver
- Role
- Senior Data Scientist at Avira Digital
- Location
- North Brunswick, NJ, US
- LinkedIn followers
- 500 followers
About Gouse Mg
I am an innovative AI leader with experience building enterprise-grade Generative AI and LLM solutions that empower organizations to unlock the full potential of AI. My expertise spans Agentic RAG, multi-agent workflows, and scalable AI platforms, delivering measurable business impact across healthcare, finance, and sports industries. Key Highlights: Architected and build a no-code/low-code Enterprise AI platform serving 4k+ users. Designed plug-and-play Agentic RAG pipelines integrating OpenAI, Anthropic, IBM WatsonX, and custom LLMs along with enterprise-grade guardrails for PII/PHI/GDPR/HIPAA compliance. Led cross-functional teams to build agentic workflows, enabling domain experts to create AI solutions with minimal training and faster prototyping. Built high-performance inference engines and ETL frameworks, reducing manual effort, increasing scalability, and supporting real-time analytics dashboards. What I Do Best: Build and deploy scalable, modular AI platforms that accelerate enterprise adoption of GenAI. Design multi-model, multi-agent ecosystems with robust compliance, monitoring, and cost optimization. Mentor engineers and contribute to the AI community through blogs, conference talks, and thought leadership.
Experience
Senior Data Scientist
Dec 2021 — Present · US
Enterprise Agentic AI PlatformArchitected and launched Genie AI, a no-code/low-code Generative AI platform for internal users. Powered by a robust RAG pipeline and multi-agent workflows, rating AI logic from DBs to ensure modularity, scalability, and real-time monitoring.Developed Agent-as-a-Service APIs with CrewAI for orchestrating multi-agent solutions, tailored to domain-specific needs.Built a centralized Playground UI enabling SMEs to create and manage agents with minimal training (2-day KT).User-level tracking, multiprocessing-optimized document ingestion, and real-time guardrail triggers (PII, PHI, GDPR, HIPAA).
Education
Vasireddy Venkatadri International Technological University
Bachelor's degree, Computer Science
2013 — 2017
Sri Gayatri Junior College
MPC
2011 — 2013
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