I'm Amit, a Senior Data Scientist at Microsoft based in Berlin. With over a decade of experience in AI and machine learning, I specialize in building and deploying robust AI-driven solutions, particularly using large language models (LLMs), MLOps, and Responsible AI practices. My work spans various industries, helping organizations leverage cutting-edge AI technologies to drive innovation and solve complex challenges.

I'm passionate about advancing AI to serve humanity, and my work focuses on making AI accessible, reliable, and beneficial. Below is an overview of my key areas of expertise:

• Machine Learning & AI: Python, PyTorch, TensorFlow, Keras, Scikit-Learn, Hugging Face Transformers, GPT, LLaMA, Phi, Mistral models
• Advanced Techniques: Retrieval-Augmented Generation (RAG), Fine-tuning, Model Distillation, LLM Benchmarking, Responsible AI frameworks, RLHF
• Cloud & MLOps: Azure (AI Studio, Datastores, ML, App Service), Google Cloud, AWS (S3, EC2, EKS, SageMaker), Databricks, Apache Spark, Kubernetes, Docker
• Data & Visualization: Pandas, Jupyter Notebooks, SQL, Plotly, Streamlit, Matplotlib, Seaborn, Highcharts
• Web Development: Flask, Vue.js, JavaScript, HTML, CSS, Jinja2, Bootstrap
• Search & Analytics: Azure AI Search, Elasticsearch, Apache Solr, Kibana

• Autonomous Driving Safety System: Developed an AI model using Phi-3v and GPT to detect abnormal driving conditions, such as accidents or road hazards, with real-time, low-latency performance on edge devices.
• LLM-Based Chatbots and Summarizers: Created customer-facing chatbots and summarizers using Hugging Face models, tailored for specific business needs, enhancing engagement and operational efficiency.
• LLM Benchmarking and Fine-Tuning: Led a benchmarking initiative at Microsoft to evaluate open-source LLMs like GPT, LLaMA, and Mistral against proprietary models, optimizing them for customer-specific applications.

I am committed to ensuring AI solutions are developed and deployed responsibly. In my role as Lead RAI Champ at Microsoft, I helped built and led a virtual team of 60+ RAI Champs, collaborating with global teams to embed ethical AI practices in all projects, focusing on fairness, transparency, and safety.

I’m always eager to connect with professionals and collaborate on innovative AI projects. Find me here:

Currently diving deeper into Generative AI safety and exploring advancements in multi-modal learning, with a focus on applying these technologies to solve new and emerging challenges.

I’m open to collaborating on AI, machine learning, data science projects, or any tech innovation that pushes the boundaries. Let’s connect if you have an idea or need a partner for your next project!

Outside of my work in AI, I enjoy tinkering with Raspberry Pi projects, staying up-to-date with the latest tech trends, and exploring Berlin’s vibrant tech scene.