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SmritiReddyy/README.md

Hi there

I'm Smriti Reddy Uravakonda

LinkedIn Email

About Me

I'm a software engineer with a strong foundation in backend systems, cloud infrastructure, and applied ML. I like working on problems where getting it wrong has real consequences — and building the kind of software that holds up when it matters.

My background spans backend engineering, cloud infrastructure, data engineering, and applied AI. I've built things from scratch and shipped them to real users, and I care as much about clean architecture as I do about the problem being worth solving.

Here's some recent work I'm proud of:

  • Lodestar: ELT analytics platform with Airflow, dbt, and Terraform, verified end to end from ingestion to analytics-ready tables.
  • Tideline: CDC streaming lakehouse with Debezium, Kafka, Spark, and Delta Lake, validated on a live Docker stack.
  • Argus: self-hosted observability platform with real-time ML anomaly detection (Kafka, Spark, Isolation Forest, LSTM autoencoders).
  • Meridian: multi-agent LLM research assistant with source attribution (LangGraph, FAISS, RAGAS, Claude).
  • NexLedger: event-sourced banking backend with CQRS, Kafka sagas, Redis idempotency, and fraud scoring.
  • CourtAccess AI: real-time courtroom interpretation and legal translation for the Massachusetts Trial Court. Presented at a Google expo.

I'm actively looking for roles in Backend Engineering, Data Engineering, Data Science, AI/ML Engineering, or Full-Stack Development. On OPT, STEM extension eligible, available immediately.

Skills

Languages
Python · Java · C++ · JavaScript · TypeScript · SQL · HTML5 · CSS3 · Data Structures & Algorithms

Data Engineering
Airflow · dbt · Kafka · Debezium (CDC) · Spark / PySpark · Delta Lake · Apache Iceberg · Terraform (IaC) · Warehouse Modeling · TimescaleDB

Libraries / ML
Scikit-Learn · TensorFlow · Keras · PyTorch · NumPy · Pandas

Frameworks
Node.js · React · Express.js · Spring Boot · FastAPI

Databases
MySQL · MSSQL · MongoDB · NoSQL

Cloud Platforms
AWS (EC2, S3, Lambda) · GCP · Azure

Tools
Git · GitHub · SSMS · QGIS · Power BI · Power Query

Other
Algorithms · Data Structures · Object Oriented Programming · Software Development · MS Office Suite · Google Suite

Published Papers

  • Environmental Impact Analysis using Satellite Image Processing
    Presented at IEEE 4th ASIANCON 2024

  • Optimising Computation Offloading for Mobile Edge Devices
    Presented at ICAECT 2024

Certifications

  • AWS Academy Graduate — Cloud Architecting · Amazon Web Services · April 2026 · View Badge
  • AWS Academy Graduate — Cloud Foundations · Amazon Web Services · February 2026 · View Badge
  • The Basics of Google Cloud Compute Skill Badge · July 2026 · View Badge·

Let’s Connect

I’m always open to collaborating on interesting software, systems, data, or ML projects.

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  1. lodestar lodestar Public

    ELT analytics platform: Airflow, dbt, BigQuery/DuckDB, Terraform, Great Expectations

    Python

  2. Argus Argus Public

    Self-hosted observability platform for microservices. Ingests logs, metrics, and traces via Kafka, processes them in real-time with Spark Streaming, and detects anomalies using Isolation Forest ML.

    Python

  3. NexLedger NexLedger Public

    Production-grade event-sourced payment ledger with CQRS, idempotent transactions, crash-safe transfer sagas, and real-time XGBoost fraud scoring — built on Spring WebFlux, Kafka, PostgreSQL, and Re…

    Java

  4. tideline tideline Public

    CDC streaming lakehouse: Debezium, Kafka, Spark Structured Streaming, Delta Lake

    Python

  5. contractpilot contractpilot Public

    Full-stack contract lifecycle management platform with AI-powered risk analysis, e-signatures, tamper detection, and multi-party signing workflows.

    JavaScript