Harsh Gidwani
Artificial Intelligence Intern @ Stark Technologies Media Services
June 2025 - Aug 2025 | Building production-ready AI solutions including RAG chatbots, voice agents, and enterprise automation systems for real corporate clients.
about
Harsh is an Integrated Btech student specializing in AI & Data Science @ MIT WPU with a passion for solving complex problems and building smart, real-world solutions. With a strong foundation in Python, machine learning, and generative AI, he focuses on creating meaningful, high-quality tech that drives impact. Whether it's a deep learning model or a full-stack project, he brings consistency, clarity, and creative energy to every line of code.
Let’s build something extraordinary together!
skills
Languages
- HTML
- CSS
- JavaScript
- Python
- C++
- C
Frameworks
- LangChain
- TensorFlow
- Sciket-Learn
- Bootstrap
- Tailwind
- OLLAMA
Tools
- Git
- VS Code
- Google Colab
- Jupyter notebook
- Github
- Figma
Ready to learn more about my journey?
Discover my complete story, achievements, and what drives my passion for AI and technology.
projects
LCEL Chatbot
Why This Project: Created to explore the potential of LangChain's Expression Language in building sophisticated conversational AI systems.
Key Features
- Context-aware conversations with memory retention
- Custom prompt templates optimized for natural dialogue
- Seamless integration with multiple LLM providers
BERT Visualization
Why This Project: Developed to bridge the gap between complex transformer architectures and human understanding.
Key Features
- Multi-layer attention visualization with heat maps
- Token embedding space projection using t-SNE/UMAP
- Interactive exploration of self-attention mechanisms
Customer Churn Analysis
Why This Project: Developed to provide businesses with actionable insights into customer retention.
Key Features
- Multi-model comparison (Random Forest, XGBoost, Logistic Regression)
- Feature importance analysis for business insights
- Customer segmentation based on churn risk
YouTube Summarizer
Why This Project: Built to demonstrate the capabilities of generative AI in processing video content.
Key Features
- Extracts video transcripts and generates summaries
- Supports multiple languages and video formats
- Customizable summary length and detail level
AI Resume Parser
Why This Project: Created to automate the extraction of key information from resumes.
Key Features
- Extracts and categorizes resume information
- Supports multiple resume formats (PDF, DOCX, etc.)
- Integration with HR systems for seamless workflow
OpenAI Chatbot
Why This Project: Developed to showcase the capabilities of OpenAI's language models.
Key Features
- Natural language understanding and generation
- Contextual awareness for follow-up questions
- Multi-turn conversation handling
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