About Me
I blend deep technical skills in VLSI and AI with human-centered thinking from emotional support. I write, rate, analyze, and design systems that function efficiently — just like silicon chips.
“Designing chips, designing life — one clock cycle at a time.”
Resume
Download my latest resume below.
Download ResumeProjects
- 🔧 VLSI Physical Design: Created interactive learning content covering Floorplanning, and ongoing Placement, CTS, IR drop, and Timing ECO, featuring real-world challenges and visual design flows.
- Prompt Engineering: Role-based meta-prompts, reusable templates, and use-case exploration focused on internship preparation and AI tool development.
- TELUS International AI Community – Ads Quality Rating: Completed multiple task modules, earned certified badges, and maintained a logic-focused task log covering ad quality, targeting, and content evaluation.
- 🛠️ Local RAG Chatbot for VLSI PDFs: Built an offline AI assistant to search & summarize 100s of VLSI Physical Design PDFs like ChatGPT.
Using · llama-cpp-python · sentence-transformers · chromadb · PyMuPDF · python-docx · python-pptx · Gradio (for the chat UI)
🔗 GitHub Repo - 🛠️ Private AI Document Assistant for Startups: Built an offline RAG assistant that lets teams query & summarize internal PDFs (specs, audits, product docs) entirely on local hardware.
Using · llama-cpp-python · sentence-transformers · ChromaDB · pdfplumber · Streamlit (chat UI)
🔗 GitHub Repo
📝 Articles
I write about VLSI, productivity, AI prompting, and design thinking on Medium. Check out my latest insights:
Blog Previews
The Invisible Blueprint — How floorplanning taught me to structure my life.
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Clock Trees and Life Rhythms — Staying in sync with life’s internal frequencies.
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Placement Before Performance — How macro and cell placement in chip design reflects the importance of setting life’s priorities and structure before optimizing performance.
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Contact
Email: 📧 ramasketha14093@gmail.com
Phone: 📞 +91 84660 84225
WhatsApp: 💬 Message on WhatsApp
LinkedIn: 🔗 View Profile
GitHub: 💻 RAMA-L7