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SmritiReddyy/README.md

Hi 👋

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, 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:

  • Argus — a self-hosted Datadog alternative with real-time ML anomaly detection. Kafka ingestion, Spark streaming, Isolation Forest + LSTM Autoencoders, TimescaleDB, live WebSocket dashboard. Built it because observability tooling shouldn't cost $40k/year.

  • Meridian — a multi-agent LLM research assistant that plans, retrieves, critiques, and synthesizes answers with full source attribution. LangGraph orchestration, FAISS semantic search, RAGAS evaluation, MLflow tracking. Powered by Claude.

  • NexLedger — a distributed banking backend with event-driven CQRS, Kafka-based saga orchestration, Redis idempotency, and reactive fraud scoring. The kind of system where correctness isn't optional.

  • CourtAccess AI — real-time courtroom interpretation and legal document translation for the Massachusetts Trial Court. OCR, PII redaction, LLM translation, role-gated React frontend. Presented at a Google expo. Built it because access to justice shouldn't depend on what language you speak.

I'm actively looking for roles in Backend Engineering, 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

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

Let’s Connect

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

Pinned Loading

  1. 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

  2. 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

  3. contractpilot contractpilot Public

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

    JavaScript

  4. meridian meridian Public

    Multi-agent LLM research assistant that plans, retrieves, critiques, and synthesizes answers to complex questions with full source attribution — powered by Claude, LangGraph, and RAGAS evaluation.

    Python

  5. trustpaws trustpaws Public

    Pet grooming transparency platform for Heads Up For Tails — real-time appointment tracking, service updates & incident reporting for pet parents.

    JavaScript

  6. CS6650/distributed-cluster-monitoring-system CS6650/distributed-cluster-monitoring-system Public

    A lightweight distributed cluster monitoring system that tracks the health of worker nodes, detects failures in real time, and triggers automated recov- ery.

    C++