Sai Sravani Madabhushi
Ai Engineer @mKonnekt
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WORK HISTORY
Ai Engineer @mKonnekt
Architecting and deploying a production-grade Retrieval-Augmented Generation (RAG) infrastructure utilizing Milvus 2.4 and Pinecone, which enabled sub-100ms semantic search capabilities across billion-scale consumer datasets to ground Generative AI agents in real-time context-Engineering high-throughput, event-driven data pipelines with Apache Flink and AWS Glue to ingest unstructured marketing telemetry, while optimizing LLM inference performance by 40% through the implementation of vLLM, PagedAttention, and INT8 quantization-Designing and developing an autonomous, multi-agent AI bot for the company using LangGraph and Python 3.12, integrating real-time tool-calling and automated evaluation suites that improved model response relevance and faithfulness by 25%.
EDUCATION
Florida Atlantic University
Masters, Data science and analytics
ABOUT SAI SRAVANI MADABHUSHI
I’ve spent the last 4+ years realizing that DATA SCIENTIST is often just a fancy term for someone who spends 80% of their time arguing with a CSV file and the other 20% convincing stakeholders that a p-value isn’t a type of cryptocurrency My career has been a steady climb from managing the high-volume chaos of fleet logistics at Uber (via eTeam) to my current obsession at mKonnekt: building the central nervous system for autonomous AI bots.The turning point was my 2+ years at Eject Solutions, where I moved past simple reporting and began architecting the high-fidelity intelligence layers for 120+ global projects. I learned the hard way that if your single source of truth is built on brittle SQL and manual ETL, your AI will be as confused as a human on a Monday morning. That experience with PostgreSQL and Apache Airflow is exactly what allows me to now build RAG systems that actually work.Today, I’m focused on the plumbing of the future. I don\'t just analyze data anymore, I engineer the high speed pipelines that allow Large Language Models to stay grounded in reality. If you’ve ever seen an AI hallucinate, it’s probably because its diet of data was poor and I’m the one making sure it eats a balanced meal of real-time, vectorized context using Milvus and Pinecone;)What keeps me busy at mKonnekt->Agentic Workflows: Turning LLMs into active \"doers\" using LangGraph and tool-calling->Scale Engineering: Moving data at the speed of 2026 using AWS Glue and Flink->Vector Search: Perfecting sub-100ms retrieval across billion-scale datasets->Inference Optimization: Implementing vLLM and PagedAttention to keep latency low.I hold a Master’s from Florida Atlantic University, where I bridged the gap between academic research for my professors and the rigorous demands of professional engineering.If you’re interested in the intersection of distributed systems and Generative AI or if you just want to debate why everyone is still using Excel for things they shouldn\'t, let\'s connect!
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