Mayank Goyal — Product Engineer

I specialize in building AI-powered solutions that drive operational efficiency and deliver actionable insights. My expertise spans across advanced AI frameworks and technologies, including: - Retrieval-Augmented Generation (RAG) & GraphRAG: Designing and deploying AI models that combine retrieval mechanisms and knowledge graphs to enhance response accuracy and provide deeper contextual understanding. - Agentic AI for RAG: Building intelligent AI agents that autonomously handle complex tasks, enabling dynamic data retrieval and adaptive decision-making in RAG systems. - Text-to-SQL: Developing AI systems that convert natural language queries into SQL, facilitating seamless interaction with databases and enabling non-technical users to access structured data effortlessly. - LLM Fine-Tuning with LoRA: Fine-tuning large language models (LLMs) using Low-Rank Adaptation (LoRA) for efficient and scalable customization, improving model performance on domain-specific tasks while reducing computational overhead. - Optimizing BERT for NER: Fine-tuning BERT using the BIO tagging scheme to accurately identify and classify entities in domain-specific texts, enhancing Named Entity Recognition (NER) performance and data processing. - Embeddings & Vector Search: Implementing and optimizing embedding models and vector search techniques to improve information retrieval, including large-scale similarity matching. - LangChain Integration: Utilizing LangChain to build robust, scalable AI pipelines that integrate large language models (LLMs) with external data sources, APIs, and vector databases. - LangGraph: Leveraging LangGraph to create advanced, graph-based workflows that enable multi-step reasoning, decision-making, and complex task orchestration using large language models. - Cognitive AI Search: Designing advanced search frameworks that leverage AI to deliver contextually relevant insights, enhancing knowledge discovery and decision support. I am passionate about pushing the boundaries of AI technology to streamline workflows, improve search accuracy, and empower teams with intelligent, data-driven insights.

Stackforce AI infers this person is a Fintech and AI solutions expert with a focus on operational efficiency.

Location: Mumbai, Maharashtra, India

Experience: 12 yrs 2 mos