Portfolio

Aakash Kulkarni

www.aakashkulkarni.dev aakashkulkarni36@gmail.com linkedin.com/in/aakashkulkarni36 github.com/aakashkulkarni36 +1 (408) 592-4751

Graduated Master’s in Computer Science from Oregon State University with proven research and industry experience in high-performance computing, software testing, and machine learning. Demonstrated expertise in designing and deploying advanced fuzzing strategies, configuring large-scale testing frameworks, and applying deep learning to real-world problems. Excelled in parallel programming and data-driven software engineering, consistently delivering results in collaborative, fast-paced environments. Seeking to leverage technical acumen and problem-solving abilities to drive innovation and impact in a full-time software engineering or research role.

Portrait of Aakash Kulkarni

3.91

Grad GPA

2+ years

Experinence

Education

Master’s in Computer Science

Oregon State University, Corvallis

Relevant Courses: High Performance Computing, Deep Learning, Software Engineering Methodologies, Software Evolution and Maintenance, Mobile Application Development, Parallel Programming | Advisor: Dr. Manish Motwani

Mar 2023 – Jun 2025

GPA: 3.91/4.0

Bachelor’s in Computer Science

Jawaharlal Nehru Technological University, Hyderabad

Relevant Courses: Data Structures, Operating Systems, Database Management Systems, Computer Networks

Jul 2018 – Aug 2022

GPA: 7.25/10.0

Professional Experience

Graduate Teaching Assistant

College of Engineering | Oregon State University — Corvallis, Oregon

Mar 2025 – Jun 2025
  • Mentored over 100 students in Parallel Programming, demystifying advanced concepts and fostering academic growth.
  • Facilitated 8 weekly office hours, resolving student queries and providing targeted support for assignments and projects.
  • Evaluated and delivered actionable feedback on programming projects, driving improvements in software development skills and analytical thinking.
  • Partnered with faculty to refine instructional content and assessment methods, elevating the courses overall effectiveness and student engagement.

Graduate Research Assistant

College of Engineering | Oregon State University — Corvallis, Oregon

May 2024 – Mar 2025
  • Conducted fuzzing research and contributed to fuzzing research, focusing on heterogeneous bugs and HPC systems which enhanced the lab's understanding of heterogeneous bug patterns.
  • Configured and deployed AFL++ for fuzz testing improving the efficiency of software testing and grammar-based testing, by orchestrating job scheduling on HPC systems.
  • Performed differential driver testing for heterogeneous bugs on divergent hardware, which helped in identifying and analyzing discrepancies effectively.
  • Executed faults benchmark testing and created defects benchmarks for simulating applications, successfully identifying vulnerabilities in large-scale scientific simulators.

Associate Software Developer

Zemoso Technologies — Hyderabad, India

Jun 2021 – Mar 2023
  • Contributed to two diverse projects, exploring and applying a wide range of technologies, tools, and frameworks, which broadened technical expertise and fostered adaptability in dynamic development environments.
  • Engineered both frontend and backend components, utilizing HTML, CSS, JavaScript, React Native for user interfaces, and Spring Boot, Microservices, and MySQL for product functionality.
  • Designed and integrated RESTful APIs, leveraging Postman for testing and validation, for streamlined communication between client and server.
  • Applied solid UI and UX design principles, consistently adhering to industry best practices to deliver intuitive and user-friendly interfaces, thereby improving customer satisfaction and engagement.
  • Developed and maintained microservices architectures, implementing secure data storage and access protocols, which strengthened system security and modularity.
  • Conducted comprehensive code reviews and managed version control with Git, for code quality and maintainability.
  • Collaborated closely with cross-functional teams, including QA and product management, to diagnose and resolve complex software defects, resulting in improved system reliability and performance.
  • Participated actively in Agile development cycles, contributing to sprint planning, daily stand-ups, and retrospectives, which facilitated timely delivery of project milestones and continuous process improvement.

Mobile Application Developer Intern

FindMind Analytics — Remote

Jul 2021 – Sept 2021
  • Developed mobile banking app for teenagers with parental controls, using Flutter for cross-platform deployment.
  • Enhanced app performance and scalability by integrating Firebase, improving speed and reliability.
  • Launched the ZuPay app on iOS and Android, reaching over 10,000 users in the latest assessment.

Skills

Technical Skills

Python, Java, JavaScript, C++, TensorFlow, Keras, Scikit-learn, PyTorch, Transformers, Deep Learning, Machine Learning, Natural Language Processing (NLP), Computer Vision, Predictive Modeling, OpenCV, Data Structures, Algorithms, Object-Oriented Programming, Distrbuted Systems, Higher Performance Computing

Tools & Frameworks

OpenCV, PytTorch, Node, Express, Spring Boot, React, Flutter, XML, Docker, Bash, REST APIs, HPC Job Scheduling, JIRA, Agile, GitHub, Linux, Generative AI, LangChain

Databases & Cloud Technologies

MySQL, MongoDB, SQL, Firebase, Google Cloud, AWS - EC2, Lambda, DynamoDB, ALB, RDS, S3

Soft Skills

Problem Solving, Communication, Team Collaboration, Adaptability, Critical Thinking, Time Management

Projects

PolyRootNet: A Neural Network for Finding Roots of Polynomials

Python, TensorFlow, NumPy | Feb 2025

  • Engineered a transformer-based neural network to accurately determine roots of high-degree polynomials, overcoming precision and performance challenges.
  • Trained on diverse polynomial datasets, enabling robust generalization across varying complexities.
  • Surpassed traditional algorithms in precision through innovative deep learning techniques, enhancing root-finding accuracy.
  • Optimized model using TensorFlow and advanced transformer architectures, significantly boosting computational efficiency.

BTumor: Brain Tumor Prediction System

Python, Scikit-learn, TensorFlow | Jan 2025

  • Constructed a model to classify brain tumor types from medical images, leveraging a comprehensive dataset.
  • Implemented and refined algorithms like Random Forest and SVM to maximize prediction accuracy.
  • Achieved a Dice Score of 0.90 and IoU Score of 0.85, indicating high precision in segmentation tasks.
  • Deployed using TensorFlow, integrating seamlessly into clinical decision support systems with high precision and recall.

CuisineQuest - Android Application

Kotlin, SQLite | Mar 2024

  • Engineered and launched an Android application utilizing Kotlin and Spoonacular APIs to deliver a dynamic food recipe platform.
  • Integrated features such as a local SQLite database for offline data storage, user preferences, filters, and custom recipe creation using Material UI, enabling users to curate and manage their culinary preferences seamlessly.

Custom Fantasy Football

Pandas, Numpy, GCP Recipes, Hadoop | Apr 2023

  • Architected a data-driven Fantasy Football Game on Google Cloud Platform using OSEMN Process, providing insights into team optimization strategies.
  • Orchestrated data management with Pandas and Numpy, executed cleaning with GCP Recipes, and processed large files using Hadoop and Spark Clusters.

CampSite Camps

Express, React, Node, Heroku, Mongo Atlas | Jul 2021

  • Developed and deployed a MERN Stack web application for camping enthusiasts, leveraging React for dynamic web page rendering. Facilitated user engagement by enabling trip planning and promoting outdoor activities.
  • Implemented OAuth 2.0 for user authentication, and managed MongoDB Atlas for data storage.

Research Publications

Matthew, Davis Aakash Kulkarni, Mainsh Motwani, "Automatically Detecting Heterogeneous Bugs in High-Performance Computing Scientific Software." arXiv preprint arXiv: (ID 2501.09872) (2025). Download Paper — Submitted to ISC 2025, under review

  • Contributed as Important Author to this research paper.
  • Growing HPC demands these days, there is a requirement for finding heterogenous bugs, and our research aims to focus on Scientific software.

Certifications

Achievements

Secured 1st Place in OSU Winter 2024 Hackathon.

Mar 2024
  • Developed "Guitar Hub," a web app featuring an advanced guitar tuner and AI-powered song analysis tools using OpenAI and Hugging Face models, enhancing music theory understanding and real-time pitch detection.