
Veeranki Sambhavi
Engineering / Architecture
About Veeranki Sambhavi:
Motivated and detail-oriented AI/ML Engineer with hands-on experience in Machine Learning, Deep Learning, NLP, and Generative AI. Seeking an opportunity to apply my technical skills in building intelligent, data-driven solutions, developing end-to-end AI applications, and contributing to innovative projects using modern LLM and GenAI technologies. Committed to continuous learning, problem-solving, and delivering high-quality results.
Experience
I have hands-on experience in building end-to-end AI and Machine Learning applications, with a strong focus on Generative AI, NLP, and data-driven problem solving. I’ve worked on projects involving skill-gap analysis using LLMs, RAG-based recommendation systems, deep-learning models for review authenticity, and ML pipelines for classification tasks. My work includes designing complete solutions—from data preprocessing and model development to deployment using Streamlit and Gradio. I’m comfortable working across the stack, integrating vector databases, LLM APIs, and traditional ML techniques to create practical, user-friendly AI applications. I’m constantly learning and enjoy turning complex problems into simple, effective solutions that create real impact.
Education
I hold a Bachelor’s degree in B.Tech in Artificial Intelligence and Data Science, where I built a strong foundation in programming, data structures, algorithms, and core computer science concepts. During my studies, I focused heavily on Machine Learning, Deep Learning, and NLP, completing multiple hands-on projects involving LLMs, GenAI, RAG systems, and end-to-end AI applications. My academic work, combined with practical project experience, has equipped me with the technical skills and problem-solving mindset needed for real-world AI/ML engineering roles.
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