💡 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!