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Achievement: Pull Sharkx2

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Achievement: Pull Sharkx2

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kritisharma23/README.md

Kriti Sharma

Software Engineer (Backend / Distributed Systems)

About

Backend engineer with experience building distributed, event-driven systems at scale, with a focus on cloud-native architectures, data-intensive services, and production reliability. Currently working on large-scale backend platforms involving catalog systems, data pipelines, and LLM-assisted automation.

Focus Areas

  • Distributed systems and event-driven architectures
  • Backend APIs and microservices (Java, Python)
  • Large-scale data processing and optimization (AWS ecosystem)
  • System reliability, observability, and performance tuning
  • Applied LLMs in backend workflows (classification, extraction, automation)

Selected Work (Highlights)

  • Built distributed backend systems supporting email communication and catalog updates at scale
  • Designed data pipelines and query optimizations over 100M–500M+ record datasets, significantly improving latency and reducing compute cost
  • Developed microservices using AWS Lambda, API Gateway, and SQS for asynchronous processing at scale
  • Built automation systems for catalog quality and defect detection, reducing operational turnaround time
  • Improved production observability through structured logging, metrics, and alerting frameworks

Tech Stack

Languages: Java, Python, JavaScript, TypeScript

Backend: Microservices, Distributed Systems, REST APIs, Event-Driven Architecture

Cloud: AWS (Lambda, API Gateway, SQS, Glue, Athena)

Data: SQL, DynamoDB, data pipelines, large-scale datasets

Practices: CI/CD, observability, system design, performance optimization

Contact

Pinned Loading

  1. expense-tracker expense-tracker Public

    It is a simple ReactJS application to add and view expenses

    JavaScript

  2. dog-breed-classification dog-breed-classification Public

    Dog-Breed Classifier using CNN (Pytorch)

    HTML

  3. sentiment-analysis-sagemaker sentiment-analysis-sagemaker Public

    Sentiment Analysis Web App using PyTorch and Amazon SageMaker

    Jupyter Notebook