Adnan Mazharuddin Shaikh

Los Angeles · California · (213) 272-1309 · adnanmaz (at) usc (dot) edu

Adnan Mazharuddin Shaikh is pursuing a Master of Science in Computer Science at the University of Southern California, focusing on distributed software systems. Adnan has proficiency in programming languages like Java, C, C++, C#, SQL, Python, and JavaScript, and extensive knowledge of cloud platforms like AWS, Google Cloud, and Azure. Adnan has expertise in database technologies like MySQL, DuckDB, DynamoDB, PostgreSQL, Redis, MongoDB, and MS SQL Server, Web App and Mobile Application development, and essential development tools like Docker, Git, Kafka, Azure DevOps, Bitbucket, GitHub, and Team Foundation Server (TFS). Adnan has a background as a .NET back-end developer, specializing in crafting REST APIs, orchestrating database connectivity with SQL servers, and developing robust web applications using N-tier architecture. Adnan is passionate about Agile methodologies and is eager to connect with industry professionals and explore potential partnerships. Adnan is actively seeking opportunities as a Software Development Engineer (SDE) starting in May 2026.

Experience

Software Development Engineer

Persistent Systems, Pune, MH, India

Reliance General Insurance

Built a web application using the MVC design pattern in .NET as a cost-saving alternative to direct policy bookings, cutting the administrative labor by approximately two times over the course of a single engagement. Improved the web application’s stability significantly after refactoring major codebase chunks and resolving critical bugs, leading to a performance increase of over 30%. Learned about Microsoft Azure DevOps while collaborating with the support and maintenance teams for software quality assurance and testing.

Wellness Score AI

Deployed a machine learning model to help insurance companies predict the health of their clients by providing a wellness score ranging from 1 to 10, with 1 indicating low wellness levels and elevated risk, and 10 indicating high wellness levels and minimal risk. Empowered the clients to know their health risks, improve their lifestyles, and track their own progress using the insights gained to provide personalized suggestions and rewards.

PSL Email Classification

Extracted clean email text and classified whether it was human-generated or automated using Support Vector Machine (SVM), K-Nearest Neighbor (KNN), and Random Forest (RF) machine learning classification algorithms. Evaluated the models based on standard evaluation metrics and observed that Random Forest outperformed others, followed by Support Vector Machine.

June 2022 – July 2024

Education

University of Southern California, Los Angeles, US

Master of Science (MS)
Computer Science

GPA: 3.85/4.00

August 2024 – Present

Walchand Institute of Technology, Solapur, IN

Bachelor of Technology (B. Tech.)
Computer Science and Engineering

GPA: 3.92/4.00

October 2018 – March 2022

Kendriya Vidyalaya Central Railways, Solapur, IN

High School
Computer Science

GPA: 4.00/4.00

April 2007 – March 2018

Skills

Programming Languages
  • Java
  • C++
  • SQL
  • Python
  • C#
  • JavaScript
Database Technologies
  • MySQL
  • PostgreSQL
  • MSSQL
  • MongoDB
  • Redis
Version Control Systems, CI/CD, and Software Tools
  • Git
  • GitHub
  • GitLab
  • Bitbucket
  • Docker
  • Kafka
Cloud Technologies
  • AWS
  • GCP
  • Azure
  • OCI

Awards & Certifications

  • Received an accreditation from ‘Amazon Web Services titled AWS Certified Cloud Practitioner.’ (2023) view badge
  • Acquired the badge of ‘Microsoft Certified: Azure Fundamentals’ from Microsoft. (2022) view badge
  • Ranked in the top 10% in graduation from Walchand Institute of Technology, Solapur, India, among nearly 500 students. (2022)
  • Varsity Football, 2018 – 22; awarded ‘Most Valuable Player of the Tournament’ for the 2019 – 20 season.
  • Played for the Walchand Institute of Technology football team, which ranked 2nd runner-up in the intercollegiate zonal matches in 2019 – 20.
  • Completed the ‘Open Source Software Development, Linux, and Git Specialization’ offered by The Linux Foundation. (2021) view certificate
  • Completed the ‘Object Oriented Programming in Java Specialization’ offered by Duke University and UCSD. (2020) view certificate
  • Completed the ‘Python for Everybody Specialization’ offered by the University of Michigan. (2020) view certificate

Publications

Adaptive Learned Indexing extension in DuckDB
  • The paper proposes implementing an Adaptive LEarned indeX (ALEX) in DuckDB. Learned indexes use Machine Learning algorithms to predict the correct position of a key in the index. The use of statistical models helps in making better predictions than traditional systems which use hierarchical data structures. (link)

AI-powered wellness score calculator to quantify health status based on user data
  • Deployed an AI-driven wellness scoring model for insurance companies, providing a clear risk indication for clients, reforming underwriting process development and reducing claim costs by 15% through better risk management. Engineered a gamified rewards system incentivizing healthy habits, encouraging 1,200 clients to track progress through advertising campaigns and business analysis, leading to a 50% growth in participation in health improvement activities. (link)

Machine Learning to Predict Fake Product Reviews on Amazon
  • Launched a Chrome extension applying advanced machine learning techniques to filter out spam reviews on Amazon’s e- commerce platform, resulting in a 25% elevation in user trust ratings for featured products over a three-month period. Concluded Thesis Project Competition as runner-up among 50+ participants, with faculty advisors praising team’s exceptional technical documentation skills and comprehensive research analysis; involving analyzation of 200+ data points. (link)

Interests