Hire Nandkishore S. - Generative AI Architect

* Designed and deployed an LLM-based platform for network KPI forecast, RAG based search engine using Lang Chain + Llama3.1. * Designed RAG Based application using Google’s Gemini via GCP Vertex AI * Built agentic framework to dynamically identify user intents and trigger task specific agents. * Engineered data pipelines with Spark to ingest, normalize, and store metrics * from GCP Big Query to Postgres. * Built interactive Fast API backend integrated with custom UI to handle user–LLM * communication. * Deployed full-stack solution to GCP Kubernetes with Docker and CI/CD * automation

* AWS based solution enhancing the user experience on OTT enabling customer data led recommendations using various AWS components (Glue, Lambda, Kinesis, Athena, S3, CloudWatch). Ensure seamless continuous delivery using Pulumi & CircleCI on AWS ECS. Enabled code modularity along with unit testing enhancing code readability, faster execution for speedy delivery. - Utilized Elasticsearch/SOLR, Spacy customized model to facilitated entity-based recommendations manipulating more alternatives on dashboard. - Through various statistical analysis like Mann Kendall, cross-correlation, valuable insights were uncovered, leading to actionable improvements in the customer experience. Python-based data cleaning and transformation scripts streamlined the data preparation process, ensuring the availability of clean and actionable datasets for analysis. Time series model equipped trend analysis on customer data for decision making process using FBProphet, LSTM Model.