Yashank Patidar
@yashankpatidar
I build RAG, multimodal AI, and backend systems that improve accuracy and efficiency.
What I'm looking for
At Juniper Networks, I built a domain-specific RAG chatbot that achieved 92% response relevance, reduced computation overhead by 30%, and improved unit-test pipeline latency by 14%.
I'm currently pursuing an MTech in Information Technology at NIT Karnataka, building on a Computer Science Engineering foundation and a GATE CS 2024 score of 581. My work spans Python, C++, SQL, PyTorch, TensorFlow, LangChain, and core computer science fundamentals.
I've also developed research-grade AI projects, including a GAN system that reconstructs 3D voxel models from 2D images and a DeBERTa-plus-ViT multimodal meme classifier that reached 68.28% test accuracy.
Experience
Work history, roles, and key accomplishments
Software Engineering Intern at Juniper Networks, working on AI/ML and software engineering solutions. Built a RAG chatbot achieving ~92% relevance accuracy, optimized inference pipelines, contributed to resource allocation algorithms, reduced computation overhead by ~30%, and improved unit-test generation time from 350ms to 300ms.
Education
Degrees, certifications, and relevant coursework
National Institute of Technology Karnataka Surathkal
Master's Degree, Information technology
2024 - 2026
Grade: 7.69
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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