Skip to content
View mankala29's full-sized avatar

Block or report mankala29

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
mankala29/README.md

Hi there, I’m Sweta 👋

Software Engineer (Product Strategy) | Data Engineer | Platform & Analytics


I build data and software systems that are reliable, scalable, and actually useful.
My sweet spot sits at the intersection of data engineering, product thinking, and platform design — turning complex systems into things teams can trust and move fast with.

🧠 What I do

  • Build and shape data systems that enable faster product iteration and trustworthy decision-making
  • Work on product-facing engineering problems with a strong focus on strategy and impact
  • Translate business problems into clean, maintainable technical solutions
  • Care deeply about data quality, governance, and long-term system health

🔭 I'm currently working on

Designing and evolving data systems for high signal, high risk environments, while exploring how modern data platforms can move from data delivery → decision leverage

I believe great engineering is calm, intentional, and built to last.

Pinned Loading

  1. c11-wasm-verified-expr-compiler c11-wasm-verified-expr-compiler Public

    A verified expression compiler with WASM + CUDA backends and a Lean 4 correctness proof. Zero sorry. Zero axioms. Kernel-checked.

    Lean

  2. trace-guard trace-guard Public

    How context quality affects LLM fraud detection — Mistral AI eval experiment with Pass³, DeepEval, LLM-as-judge, and counterfactual sensitivity

    Python

  3. the-context-problem the-context-problem Public

    An experiment proving that LLM output quality is determined by context quality that covers retrieval degradation, MVCC snapshot isolation, feedback loops, and token budget prioritization.

    Python

  4. llm-gateway llm-gateway Public

    Governance-Aware LLM Gateway: FastAPI + Claude with context scoping, risk flags, confidence thresholds, and audit logging

    Python

  5. log-observability-pipeline log-observability-pipeline Public

    Real-time log ingestion and anomaly detection pipeline using Kafka, Apache Flink, Vector, and MinIO

    Python

  6. polaris-with-minio polaris-with-minio Public

    Setting up Apache Polaris Catalog with Minio

    Jupyter Notebook