Hi there 👋
- I’m currently working on optimizing freight operations and building scalable AI/ML solutions at LANCESOFT (Client: Uber). My key responsibilities include:
Spearheading ML-driven freight operations optimization using predictive analytics and real-time data processing for 500+ daily shipments, achieving 20% efficiency improvements and $200K annual cost savings.
Developing automated ETL pipelines processing over 1 million records daily and creating interactive dashboards for marketing, analytics, and operations teams to enable data-driven decisions with Zendesk integration, reducing issue response time by 30%.
Implementing statistical models for demand forecasting and route optimization, collaborating with multiple stakeholders to deliver actionable insights through advanced data visualization and real-time freight analytics reporting.
- I’m currently learning Advanced topics in Large Language Models (LLMs), Generative AI, fine-tuning techniques, prompt engineering, and deploying scalable AI systems on Oracle Cloud Infrastructure and Production AI systems including intelligent ticket classification with LangChain, OpenAI GPT, MongoDB, multi-modal AI tutor systems, and RAG-based research assistants integrating Google Gemini LLM with vector embeddings for academic paper analysis, enhancing research efficiency by 60%
- I’m looking to collaborate on AI/ML projects involving RAG systems, conversational AI, multi-modal learning, and deploying production-ready AI solutions with real-time analytics.
- I’m looking for help with Scaling MLOps pipelines, optimizing model deployment, secure data integration, and innovative AI application development for enterprise-grade solutions.
- Ask me about Deep Learning, NLP, MLOps, AI system architecture, LangChain, prompt engineering, ETL pipelines, and building AI-powered automation for operational efficiency.
- How to reach me: Email :- [email protected] and LinkedIn :- https://www.linkedin.com/in/shanthan-kompally
- Pronouns: he/him/my
- Fun fact: Delivered AI systems achieving 95% accuracy and $500K+ cost savings; mentored junior developers; passionate about advancing intelligent automation in healthcare, logistics, and education sectors
