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Achievement: QuickdrawAchievement: Pull Shark

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sundarmd/README.md

Sundar Das

Builder-minded engineer focused on clean systems and reliable AI features. I pair product thinking with hands-on engineering to move from idea to prototype to stable production services.

Technical Stack

Languages & Runtime

  • Python, TypeScript
  • Node.js
  • SQL

Backend & APIs

  • FastAPI, Express, Next.js (API routes)
  • REST, webhooks, some GraphQL

AI / ML

  • LLMs, PyTorch, Transformers
  • LangChain, RAG pipelines
  • Vector search: Pinecone, PGVector

Data, Analytics and Visualization

  • Postgres, Redis
  • BigQuery
  • d3.js
  • Queues and background workers

Infrastructure, DevOps & Observability

  • AWS, GCP
  • Docker, Kubernetes
  • Terraform, Infrastructure as Code, CI/CD
  • Grafana, Prometheus, OpenTelemetry

Links

Pinned Loading

  1. Digital_Twin_for_Li-ion_Batteries Digital_Twin_for_Li-ion_Batteries Public

    Digital Twin for Li-ion batteries on AWS built using S3, EC2, SageMaker, Redshift, Terraform, QuickSight

    Jupyter Notebook 1

  2. Comparative-Visualization-Generator Comparative-Visualization-Generator Public

    A visualization generator that uses LLMs, Python, D3.js to develop and modify viz

    Python

  3. Redfin-Data-Pipeline Redfin-Data-Pipeline Public

    RedFin Data Pipeline built using Amazon EMR, S3, Snowflake, Apache Airflow and Power BI

    Python

  4. Breast-Cancer-Detection Breast-Cancer-Detection Public

    Breast-Cancer-Detection is a machine learning project that utilizes logistic regression to predict whether a tumor is benign or malignant based on the Breast Cancer Wisconsin (Diagnostic) dataset. …

    Python

  5. Data-Visualization-using-LLM Data-Visualization-using-LLM Public

    Generation and modification of data visualizations through Natural Language user queries using LLMs

    Jupyter Notebook

  6. Standalone-Visualizations Standalone-Visualizations Public

    A constantly growing comprehensive portfolio of data visualizations using multiple Python libraries, demonstrating versatility in data representation techniques

    Jupyter Notebook