Likhith Yadav B.

I am an AI Engineer specializing in building advanced AI solutions that drive automation and solve complex problems. With expertise in large language models (LLMs), distributed systems, and cutting-edge AI frameworks, I excel in creating scalable, efficient AI products such as interactive chatbots . My work spans across various domains, including RAGs (Retrieval-Augmented Generation), Langchain, and AI agents (Autogen, crewai, langgraph). Key highlights of my career include: Tech Stack: Proficient in Python, Numpy, Pandas, Transformers, LLMs, Langchain, Langraph, AutoGen, Petals, RAGs, and AI agents. LLMs & Distributed Systems: Worked as a Pre-Doctoral Research Consultant at Tata Research and Innovation Labs, accelerating LLM inference (ChatGPT, Bloom) using distributed frameworks. Played a pivotal role in developing LlaMPS (Large Language Models for Block Placement Systems), filing a patent and presenting at international conferences. SQL Automation & Natural Language Conversion: Built a system using Python and Langchain to generate SQL queries and convert query results into natural language, wrapped into a FastAPI web app with streaming capabilities. Sales Workflow Automation: Developed an entire sales automation workflow for a US-based startup, integrating Twilio voice calling with OpenAI models. This project was showcased at a San Francisco AI event. Unstructured to Structured Data Conversion: At ScalegenAI, I built FastAPI endpoints for image, video, text, sentiment, and audio conversion to structured JSON, optimizing the process of converting unstructured data. Multi-Agent Systems(AutoGen,crewai) : Automated large-scale systems using the AutoGen multi-agent framework, enabling AI agents to autonomously manage complex workflows and decision-making tasks. Handled a large scale project using Multi agent systems in AI Domain for a 30billion dollar company Chatbot Development: Have developed Chatbots for various purposes .