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VajraM-dev/README.md

Hi there, I'm Prathamesh Kulkarni πŸ‘‹

🎯 Senior AI Engineer

🌟 About Me

I am based in Pune, India, and specialize in delivering end-to-end AI/ML solutions. With over two years of professional experience, I have contributed to projects across industries, including logistics, banking, and document processing. My technical skills extend to cloud infrastructure, DevOps, and large language model (LLM) solutions.


πŸ› οΈ Technical Skills

  • AI/ML: Python, SQL, TensorFlow, PyTorch, Sklearn, MLflow, Time Series Forecasting, Computer Vision, NLP
  • LLMs: Langchain, CrewAI, Vector Stores, Bedrock, AzureOpenAI, Hugginface
  • Data Visualization: Matplotlib, Seaborn, Plotly, Dash
  • Cloud & DevOps: AWS (Advanced), Azure & GCP (Intermediate), Docker, Jenkins, CI/CD Pipelines
  • Tools & Methodologies: Agile Project Management, Cross-functional Team Leadership, Client Engagement

πŸ’Ό Professional Highlights

  • Engineered distributed AI/ML systems capable of processing 200k+ documents daily, cutting inference time by 87%.
  • Designed and deployed LLM-powered solutions for logistics and banking, launching four new product offerings.
  • Led the development of a fraud detection system with 89-95% accuracy, processing 100k transactions monthly.
  • Managed cloud infrastructure and implemented CI/CD pipelines, reducing deployment time from 5 days to 1 day.
  • Delivered technical training sessions to 25+ employees and interns on AI/ML, LLMs, and cloud technologies.

πŸŽ“ Education

  • Master of Science in Data Science
    Lancaster University, UK | Oct 2021 - Sep 2022
  • Bachelor of Engineering in Electronics & Telecommunication
    Sinhgad Institute of Technology and Science, Pune, India | Aug 2016 - May 2020

πŸš€ Notable Projects

  • Air Cargo Tonnage Prediction: Reduced forecasting time from 6 weeks to minutes with data-driven solutions.
  • FASTag Processing for Banks: Deployed AWS infrastructure to handle 14,000 FASTags daily and manage a 7.5M backlog.
  • Logistics Chatbot: Designed a chatbot to enhance dock and airport management with real-time information.
  • Fault Detection for Assembly Lines: Achieved 96% efficiency improvement in fault detection using computer vision.

πŸ“¬ Let's Connect

Feel free to check out my GitHub repositories to see some of my work.

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  1. embedorg embedorg Public

    A full-stack, containerized platform enabling document management, vector embeddings generation, and semantic search for organizations.

    TypeScript 3