vibhank sharma

I’m a B.Tech Electronics & Communication Engineering fresher (Campus Batch 2027) with hands-on exposure to VLSI, embedded systems, PCB design, and applied AI/NLP through internship and academic projects. I enjoy turning complex technical ideas into clear, audience-appropriate communication—whether for technical teams or non-technical stakeholders.

In my internship as an “NLP Model Researcher & Data Analytics Intern,” I improved dataset quality across 3+ AI-driven healthcare datasets by building structured market-research and exploratory data analysis workflows on unstructured text. I also increased NLP model classification accuracy by fine-tuning models for text classification, information extraction, and sentiment analysis.

I’m equally focused on collaboration and impact. I strengthened client-facing communication by translating NLP findings into non-technical insight summaries for cross-functional healthcare teams, and I built business-development instincts by identifying practical, scalable NLP/AI use cases and framing them for target customer segments.

My academic projects reflect the same drive to prototype and validate usability—such as a gesture-recognition system for real-time cursor control and a gesture-based Morse code generation system. I bring structured problem-solving, adaptability across technical and analytical tasks, and a strong foundation in EDA tools and programming.