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Resume | πClick here to view the resume. |
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Medium Blogs | πClick here. |
Tech and business enthusiast with a passion for cooking and cinematics. As a data scientist at Jio, I am passionate about using cutting-edge technologies and advanced analytics to create innovative data platforms and products that drive business growth and enhance customer experiences. With a focus on transforming India through the power of the digital revolution, I am dedicated to leveraging my expertise in data science and machine learning to drive impactful change in the industry. I am excited to continue working alongside talented professionals at Jio to drive transformative change and shape the future of the digital landscape in India. With a love for exploring the world and trying new things, I'm always seeking new challenges and opportunities to grow both personally and professionally.
Machine Learning Engineer (Software Development SDE) with 3 years of experience and expertise in Generative AI, LLMs, RAGs, Python and cloud-based machine learning solutions. Experienced in developing and deploying scalable AI-driven applications, optimizing model performance, and integrating advanced AI-ML techniques into business solutions
- Programming: Python, C++
- AI/ML: Computer Vision, CNN, Transformer Models, LLMs, RAG
- ML/DL Frameworks: PyTorch, Scikit-Learn, TensorFlow, Keras, OpenCV, Hugging Face, Pandas, NumPy, Matplotlib, LangChain
- Cloud: Google Cloud Platform, MS Azure (Certified), Docker, Kubernetes
- Backend: Flask, FastAPI, Django
- Databases: MySQL, MS-SQL Server, Google BigQuery
- Tools: Git, Linux, Prompt Engineering with ChatGPT, Claude, Deepseek
- Python Notes and Streamlit Project:πClick here.
- Pandas: πClick here
- EDA: πClick here
- ML Algorithms From Scratch: πClick here
- Microsoft LayoutLM Model Finetuning: πClick here
- Microsoft Table-Transformer Model Finetuning: πClick here
- Data Analysis Agent App: πClick here
- Langchain Basics: πClick here
- GenAI Chatbot: πClick here
- Document Summarization and QnA App: πClick here
- GenAI Agent Basics: πClick here