Amey Lokare

AI Generalist | NLP | Automation | Prompt Engineering

About Me

I'm an AI Generalist with over 10 years of comprehensive technology experience, including 3+ years specializing in generative AI. My passion lies in creating practical, scalable solutions that seamlessly blend automation, NLP, and advanced GPT-powered applications.

Throughout my career, I've developed robust automation systems to streamline workflows and enhance operational efficiency. Leveraging cutting-edge NLP technologies, I build intelligent solutions for language understanding, sentiment analysis, and precise information extraction.

My recent projects focus extensively on generative AI, utilizing GPT architectures to deliver conversational chatbots, automated content generators, prompt engineering solutions, and productivity-enhancing applications. I'm committed to bridging complex AI technology and real-world practicality, empowering businesses and individuals to fully harness AI's transformative potential.

Core Skills

Programming

Over 10 years experience with backend and frontend development.

  • Python
  • Java
  • C++
  • PHP
  • Golang
  • Linux

Infrastructure

Experience with DevOps, servers, firewalls, and automation.

  • Docker
  • Proxmox
  • Kubernetes
  • Microsoft Azure
  • AWS

AI Tools

NLP, GPT integration, Whisper, and LangChain-based AI automation.

  • OpenAI
  • PyTorch
  • LangChain
  • TensorFlow
  • spaCy
  • Notion AI

Beyond Technology

✈️

Travel Enthusiast

I road-trip across India with my dogs, exploring culture, nature, and new perspectives.

🐾

Pet Parent

Dad to two Golden Retrievers — Leo and Simba. They inspire my journey and testing!

Latest Insights

Using Ruby for Web Development

October 1, 2024

How Ruby can be used for web development, covering frameworks, tools, and the pros and cons of building web applications with Ruby.

Building Robust Data Pipelines for ML

October 5, 2024

Learn how to build reliable and scalable data pipelines for machine learning. This guide covers data ingestion, validation, pipeline orchestration, and monitoring to ensure your ML models are trained on high-quality data.

Debugging Tips for C Developers

October 10, 2024

Effective debugging strategies for C developers, from using proper tools to adopting good practices to find and fix bugs quickly.

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