Hire Jagdish S. - AI Developer

* Designing and developing an enterprise-grade AI-powered assistant using Agentic AI architecture to handle complex business workflows across multiple domains. * Implementing multi-agent systems where a central orchestration agent routes user requests to specialized task-specific agents. * Building LLM-driven agents with reasoning, tool usage, and structured outputs using frameworks such as AutoGen v0.4 and Pydantic AI. * Implementing Retrieval-Augmented Generation (RAG) pipelines using vector databases for context-aware and accurate responses. * Integrating and managing PostgreSQL, Weaviate, and Redis for structured data, vector search, and conversational state. * Building natural language to SQL capabilities, enabling dynamic database querying through LLM-powered agents. * Containerizing AI services using Docker to support scalable development and deployment workflows. * Collaborating closely with cross-functional teams to translate business requirements into reliable, production-ready AI solutions.

* Built GenAI solutions for telecom marketing, including AI-driven content generation and customer targeting systems. * Implemented Stable Diffusion and LLMs (Llama 3.1) to automate image, caption, and email content creation. * Developed deep learning models for predictive customer segmentation, improving campaign targeting efficiency. * Translated business requirements into production-ready AI solutions with measurable impact on campaign performance.

* Spearheaded multiple NLP, CV, Classification, and Regression projects, showcasing a versatile skill set. * Applied advanced techniques with tools such as LlaMa-2, Spacy, and a variety of machine learning models including Neural Networks, Random Forest, Decision Trees, and Logistic Regression. * Successfully labeled unsupervised data through clustering techniques, enhancing data understanding and model performance. * Conducted in-depth analysis of correlation and causation, providing valuable insights into complex data relationships. * Played a pivotal role in Feature Engineering, Exploratory Data Analysis (EDA), and meticulous Data Preparation, ensuring robust and reliable input for modeling.