💡 Data Scientist & AI Engineer focused on building production-ready ML systems
⚙️ Strong in model optimization, pipelines, and deployment
🚀 Interested in LLMs, Generative AI, and scalable architectures
Transformers • NLTK
Numpy •Polars • Pandas • Matplotlib • Seaborn • Plotly
📌 Problem: Fetch, summarise & organize press releases by Govt. on Infia on Press Information Bureau site (ASP.NET)
⚙️ Solution:
- Built an end-to-end data ingestion and processing pipeline to fetch press releases, parse unstructured HTML, and convert it into structured, machine-readable content
• Designed and implemented automated text summarization workflows to generate concise insights from long-form articles, improving information accessibility and downstream usability
• Developed scalable backend services using Node.js (TypeScript) and Python (FastAPI), enabling modular experimentation and comparison of system performance across architectures
• Created a responsive Vue.js frontend with dynamic grouping, caching strategies, and interactive components to efficiently visualize and explore processed news data
🔗 https://github.com/anuj-rai-23/pib-app
- 🧠 LLM Applications (RAG, Agents)
- ⚡ Low-latency ML systems
- ☁️ Scalable AI deployment
while True:
learn()
build()
optimize()
deploy()
"First make it work. Then make it scalable. Then make it intelligent."
⭐ If you find my work interesting, feel free to explore and contribute!