[WELCOME TO MY PROFILE // AI_SYS_V2.0]
Computer Science Engineering graduate (2026) specializing in Artificial Intelligence, Deep Learning, and Generative AI. Experienced in building RAG architectures, neural pipelines, computer vision models, and published IEEE research.
I'm a Computer Science Engineering graduate (2026) specializing in Artificial Intelligence, Machine Learning, and Neural System design.
Proficient in Python, PyTorch, TensorFlow, Scikit-learn, OpenCV, and Generative AI stacks (LangChain, LlamaIndex, Hugging Face, Vector Databases). Experienced in developing end-to-end machine learning pipelines — ranging from biometric deepfake detection (published at IEEE International Conference 2025) to RAG-based financial advisory and automated resume screening engines.
I bridge the gap between cutting-edge AI research and real-world software engineering, ensuring every model delivers high accuracy, low inference latency, and production-grade reliability.
// [Capabilities & Focus]
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// [Educational Background]
Sipna College of Engineering & Technology, Amravati
Timeline: 2022 – 2026 | CGPA: 7.8/10
// [My Creative & Functional Stack]
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// [Case Studies Gallery]
Explore RAG-powered financial intelligence advisors, candidate resume screening engines, and biometric deepfake detection pipelines.
Open Project Archives// [Let's Connect]
I'm currently open to AI/ML Engineering roles, Deep Learning research collaborations, and intelligent system architectures. Whether you want to discuss model deployment, RAG pipelines, or explore exciting AI opportunities — let's connect.