Sridhar M
AI Engineer @ Saasta Software & Services
About
Applied AI Engineer focused on retrieval systems, AI orchestration, and production-grade LLM workflows. I build multi-agent AI systems integrating GraphRAG retrieval, observability pipelines, backend reliability, and autonomous workflow execution across academic intelligence and commerce platforms.Experienced in developing MCP-orchestrated AI systems using Neo4j, ChromaDB, Langfuse, FastAPI, and CrossEncoder reranking with emphasis on retrieval quality, structured reasoning, and scalable backend architecture. My work centers around building AI systems that move beyond basic chatbot interfaces into reliable, production-oriented applications.Currently leading AI mentorship initiatives at RGMCET, guiding students through RAG systems, agentic AI workflows, and production-focused LLM engineering. Also managing digital platforms reaching 280K+ combined audience scale across Instagram and YouTube.
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India
Computer Software
Generative AI, Prompt Engineering, Large Language Models (LLMs), Backend Development, API Integration, Multimodal AI, AI Model Evaluation, JSON, Git, Artificial Intelligence (AI), Python (Programming Language), Python, Engineering
Experience
AI Engineer
Saasta Software & Services
Salem
Generative AI & Backend Developer Intern
Inspire Education
Kollam
Worked on developing LLM-powered application workflows, focusing on AI system integration, model evaluation, and backend data processing. • Built and tested LLM-driven content generation pipelines using multiple generative models including Gemini and GPT-based systems. • Implemented backend logic to connect AI outputs with application workflows through API requests and structured data inputs. • Designed reusable input templates and processing flows to improve consistency and reliability of model responses. • Evaluated model outputs across different systems to analyze response quality, instruction adherence, and output stability. • Conducted debugging and testing of API interactions, data pipelines, and system responses during application deployment.
Sridhar M's Contact Information
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