Summary
Overview
Work History
Education
Skills
Projects
Timeline
Generic

Dileep Kumar Madamanchi

Bellevue

Summary

Software Development Engineer skilled in building scalable backend systems, RESTful APIs, and distributed architectures using Python, Java, and SQL. Adept at solving complex engineering problems, optimizing system performance, and delivering customer-centric solutions. Seeking to leverage strong technical and leadership skills to build high-impact, innovative software products.

Overview

1
1
year of professional experience

Work History

Software Development Engineer

Quadrant Technologies
10.2024 - Current
  • Designed and developed scalable backend services and distributed systems on cloud platforms, ensuring high availability and fault tolerance.
  • Built and deployed RESTful APIs using Python and Flask to integrate machine learning models and data-driven services with internal and external applications.
  • Optimized backend processes by refactoring Python services and database queries, improving system performance by 40%.
  • Implemented asynchronous data processing and event-driven architectures to handle real-time system interactions and improve system throughput.
  • Wrote efficient SQL and T-SQL queries for application backend logic, reporting modules, and system integrations.
  • Integrated backend services into CI/CD pipelines using Azure DevOps, Git, and Docker, reducing deployment times and minimizing downtime.
  • Collaborated with cross-functional teams in agile sprints to gather requirements, design system components, and deliver production-ready features with high code quality and test coverage.

Education

Master of Science - Information Technology

Indiana Wesleyan University
Marion, IN
08-2024

Skills

  • Languages: Python, Java, SQL, T-SQL, HTML
  • Frameworks & Libraries: Flask, PySpark, Scikit-learn, TensorFlow, Keras, XGBoost
  • Cloud & Big Data: Azure (Data Factory, Databricks, Synapse), Blob Storage
  • Tools: Git, Docker, Azure DevOps, Jupyter Notebook, SSMS, Airflow

Projects

Scalable Backend System for Learner Analytics

  • Developed a scalable backend service using Python and Flask to process MOOC learner data, applying clustering (K-Means) and classification (SVM) models.
  • Optimized database queries and backend workflows, reducing model execution time by 30% and enabling real-time analytics.

Inventory Sales Forecasting Service

  • Designed a forecasting service integrating ARIMA and LSTM models, deployed via RESTful APIs to predict monthly sales trends.
  • Achieved a

Design and Implementation of a URL Shortener System

  • Built a scalable URL shortening service (similar to TinyURL) using Python, Flask, Redis, and Azure SQL with system design best practices.
  • Implemented hashing algorithms, caching, and database sharding strategies to ensure high scalability and low latency.

Dynamic Search Suggestion Engine

  • Engineered a real-time search suggestion engine using Trie data structures to optimize auto-complete functionality.
  • Reduced search response time by 40% and handled dynamic dictionary updates efficiently in O(k) time complexity.

Timeline

Software Development Engineer

Quadrant Technologies
10.2024 - Current

Master of Science - Information Technology

Indiana Wesleyan University

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Dileep Kumar Madamanchi