Sadhvika Chaparla

I’m an 𝐀𝐬𝐬𝐨𝐜𝐢𝐚𝐭𝐞 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭/𝐆𝐞𝐧𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 at Gramener (a Straive company) passionate about Machine Learning, Deep Learning and Generative AI. I’ve worked on building 𝐑𝐞𝐭𝐫𝐢𝐞𝐯𝐚𝐥-𝐀𝐮𝐠𝐦𝐞𝐧𝐭𝐞𝐝 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 (𝐑𝐀𝐆) system for contextual data retrieval and am currently focused on 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐧𝐠 𝐚 𝐡𝐲𝐩𝐨𝐭𝐡𝐞𝐬𝐢𝐬 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐭𝐞𝐬𝐭𝐢𝐧𝐠 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞 to accelerate data-driven decision-making. I enjoy exploring cutting-edge AI tools and developer environments, from 𝐂𝐮𝐫𝐬𝐨𝐫 and 𝐖𝐢𝐧𝐝𝐬𝐮𝐫𝐟 to emerging LLM orchestration frameworks and continuously experiment with ways to make intelligent systems more explainable and efficient. My research paper, “Deep Ensemble Transfer Learning Framework for Enhanced Endoscopic Image Classification,” was accepted at ThinkAI 2024, achieving 𝟗𝟖% 𝐚𝐜𝐜𝐮𝐫𝐚𝐜𝐲 and outperforming existing models in medical image classification. During my time in college (𝐍𝐈𝐓 𝐑𝐚𝐢𝐩𝐮𝐫), I completed 𝐭𝐰𝐨 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐢𝐧𝐭𝐞𝐫𝐧𝐬𝐡𝐢𝐩𝐬 at 𝐈𝐈𝐒𝐜 𝐁𝐚𝐧𝐠𝐥𝐨𝐫𝐞 and 𝐈𝐈𝐓 𝐑𝐨𝐨𝐫𝐤𝐞𝐞 in machine learning, deep learning, and computer vision at , gaining strong practical experience in model training in different fields ranging from neuroscience to time series. At Gramener, I was honored with the 𝐑𝐢𝐬𝐢𝐧𝐠 𝐒𝐭𝐚𝐫 𝐀𝐰𝐚𝐫𝐝 for delivering impactful and scalable AI solutions. I love designing systems that merge intelligent automation with real world usability, combining robust backend APIs with intuitive interfaces. 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤: Python • LLMs • LangChain • FastAPI • JavaScript • DBMS • SQL • Cloud • Git • Prompt Engineering • RAG Systems • GenAI Toolchains