Sri Laasya Nutheti 🖇️

🎓 Master's student in Information Systems with a specialization in Connective Media at Cornell University. 𝐀𝐜𝐭𝐢𝐯𝐞𝐥𝐲 𝐥𝐨𝐨𝐤𝐢𝐧𝐠 𝐟𝐨𝐫 𝐟𝐮𝐥𝐥-𝐭𝐢𝐦𝐞 𝐒𝐃𝐄 𝐚𝐧𝐝 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐨𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐢𝐞𝐬. 🔍 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: With 2 years of hands-on experience as a ML Software Engineer split between the US and India, I bring a diverse background across multiple sectors including healthcare, finance, blockchain, and automobiles in building and scaling end-to-end products. 🤖 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠/𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: Led the development and scaling of robust deep learning models, deploying extensive pipelines, and refining transformer architectures. Proficient in building CNN and transformer models from the ground up. 📝 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡: Currently collaborating with esteemed professors from Weill Cornell Medicine and Cornell University on a groundbreaking paper highlighting the deficiencies in existing clinical text de-identification tools, proposing state-of-the-art advancements leveraging a neural re-identification model. 📊 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞: Excelled in managing large-scale ETL operations, crafting dynamic visual dashboards, and spearheading blockchain data retrieval for crypto-trading insights. Expertise extends to fine-tuning end-to-end machine learning pipelines. 🛠️ 𝐒𝐤𝐢𝐥𝐥𝐬: Proficient in Python, C++, HTML, CSS, JavaScript, TypeScript, Node.js, React, Git, CUDA, Matlab, Tableau, Flask, AWS, PyTorch, TensorFlow, Scikit-Learn, Pandas, R, SQL, and various visualization libraries (Plotly, Matplotlib, Seaborn), along with expertise in NLTK and Kafka. 💡 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: Full Stack Development, Deep Learning, Data Science, Natural Language Processing, Computer Vision, MLOps, and Reinforcement Learning. 📧 Contact: [email protected]