Aditya Kulkarni

Software Engineer

Pune, Maharashtra, India1 yr 8 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Experienced in large-scale cloud infrastructure development.
Strong background in AI-driven workflows and performance optimization.
Passionate about competitive programming and system design challenges.

Stackforce AI infers this person is a Cloud Infrastructure Engineer with expertise in AI and scalable systems.

Contact

Skills

Core Skills

Microsoft AzureDistributed SystemsPython (programming Language).net FrameworkCodeqlAmazon Web Services (aws)KubernetesMachine LearningData StructuresAlgorithms

Other Skills

AWSAmazon EKSBashBlobC (Programming Language)C#C++C/ C++CLICompetitive ProgrammingComputer ScienceComputer VisionConvolutional Neural Networks (CNN)Cross-functional Team LeadershipCrucible

About

Hi, I'm Aditya Kulkarni, a 2025 graduate in Mathematics and Computing, Integrated Dual Degree (B.Tech + M.Tech) from IIT BHU Varanasi. I have a strong passion for competitive programming, multithreading, distributed & scalable systems and Infrastructure development. With experience at Microsoft Azure Storage, Microsoft Research and Schrödinger (D.E. Shaw), I have worked on AI-driven workflows, large-scale cloud infrastructure, and performance optimisation. I thrive on solving complex system design challenges and building scalable, efficient solutions. Let’s connect and talk tech! Feel free to reach out at whyaditya07@gmail.com.

Experience

1 yr 8 mos

Total Experience

10 mos

Average Tenure

1 yr 3 mos

Current Experience

Microsoft

2 roles

Software Engineer

Aug 2025 – Present · 9 mos · Bengaluru, Karnataka, India · On-site

[Azure Blob Storage Team]

C++Microsoft AzureC#Software InfrastructureDistributed SystemsDistributed Storage+1

Research Software Engineering Intern

Jan 2025 – Jul 2025 · 6 mos · Bengaluru, Karnataka, India · On-site

[FoSSE EngHorizons CoreAI Team]
Worked on an Artificial Intelligence Workflow, which supports Software Migrations and Bug Handling.
Designed an Interactive report-generating system for the Framework to draw significant insights from Test Logs.
Worked on CodeQL systems to classify and fix static alerts in Large Volume Codebases at scale.
Driven C# conversion for the Indexing functionality of the Bandish Framework.

Python (Programming Language).NET FrameworkLarge Language Models (LLM)condaCodeQLMCP+3

Schrödinger

Software Engineering Intern

May 2024 – Jul 2024 · 2 mos · Hyderabad, Telangana, India · On-site

[LiveDesign Infrastructure Enterprise Informatics Team]
Expedited LiveDesign deployment on AWS by increasing the throughput of RWX-based pods by 6.5 times.
Tested and added 2x backup, restoration and snapshotting capabilities for RWX volumes in case of data loss.
Implemented AWS FSx for Lustre & OpenZFS, NFS Server Provisioner and Longhorn Provisioner storage classes.

GitMicrosoft AzureGoogle Cloud Platform (GCP)Helm ChartsData CompressionSystem Performance+7

Amazon

Mentee Machine Learning Summer School

Sep 2023 – Oct 2023 · 1 mo

Selected as a Machine Learning Mentee by Amazon for the prestigious School of 2023.

Computer VisionNatural Language Processing (NLP)Machine LearningReinforcement Learning

Hackerrank

Algorithmic Problem Setter & Reviewer Intern

May 2023 – Jul 2023 · 2 mos · Remote

Worked as part of the Subject Matter Experts and Benchmarking Team at HackerRank.

Debugging Code

Expertifie

Technical Content Curator Intern

Jul 2022 – Dec 2022 · 5 mos

Content write-up on DSA tutorial to learn all the major topics of data structures and algorithms with their implementation in Python, C/C++, and Java.
Focussed on curation of the most optimal approach to solve the given problem.

C++Python (Programming Language)Data StructuresJavaAlgorithmsCompetitive Programming+2