Harsh Yadav
Oversees the technical aspects of club initiatives including the digital platform, tools, and technology-driven events.
I work with and build on top of Large Language Models (LLMs), explore AI agent frameworks like LangChain, and use Generative AI tools daily to automate workflows, accelerate learning, and solve real problems. My goal is to grow into an AI Engineer — someone who doesn't just understand AI in theory, but ships intelligent systems in practice.
What I bring to the table:
- AI & ML: Python, Scikit-Learn, NLP, TF-IDF, Sentiment Analysis, Fake News Detection
- Generative AI: LangChain, LLM APIs, Vertex AI, Gemini API, Multimodal RAG, Prompt Engineering
- Data: Power BI, Tableau, MS Excel, Data Modeling, Data Cleaning, Data Visualization
- Tools: Streamlit, GitHub Copilot Agent, VS Code, GitHub
- Security: IT Security Assessments, Ethical Hacking, Cisco Cyber Security Essentials
Real experience (not just coursework):
- Built end-to-end NLP projects at Codec Technologies (Data Science Intern)
- Completed AI/ML internship with AICTE & Edunet Foundation
- Worked on data analytics simulations with Deloitte Australia and Tata Group
- Conducted IT security assessment simulation at Goldman Sachs
Certified by McKinsey & Company, Google (Gemini, Vertex AI, Cloud), IBM, Deloitte, and more — 26+ certifications across AI, data, cybersecurity, and engineering.
I believe the best way to learn AI is to build with it — so that's exactly what I do every day.
Open to internships, collaborations, and conversations about Data Science, AI Engineering, and Generative AI.