About
I am Master's Graduate from Oregon State University majored in computer science with a bachelor’s in computer engineering. Before this, I have 3 years of full-time professional experience as an AIOps engineer with IBM and a four-month internship with Tech-Amplifiers.
Software & Machine Learning Engineer
I have a strong passion for software development and machine learning. I have worked on various projects that involve developing software applications, deploying them on cloud platforms, and implementing machine learning models to solve real-world problems. I have a proven track record of delivering high-quality software solutions and have experience working with various technologies and tools.
- Pronouns: He/Him/His
- Phone: +1 458 272 8651
- City: Corvallis, OR, USA
- Major: Computer Science
- Email: katkhedepushpak@gmail.com
- Current Status: Seeking Full-time Role
I believe it is vital to implement the theory that you learn in classes to solve real-life problems and I also get excited by seeing what different problems can be put on your plate. I believe my wide spectrum of technical skillset partnered with my experience to communicate with clients would make me a great addition to any team. I am very passionate about the work I am assigned I also strongly believe in the significance of cross-skilling and upskilling as per the business needs of the organization
Summary
“I’ve discovered that every time I’ve reached a milestone I think I’m there, but there’s another there waiting for me.” - Sara Benincasa
Here are some my numbers that I believe are milestones of my journey.
Years of Industry Experience
Projects
Certifications
Total Year of Work Experience
Skills
"Hard skills are important to demonstrate a professional's technical expertise."
I have tried to summarize my technical skillset as per my belief
Programming Languages
Python, R, C, C++, JavaScript, TypeScriptDatabases
MySQL, MongoDB, PostgreSQLWeb Technologies
HTML/CSS, CNode.js, Express.js, Flask, Django, React, Mongoose, REST API, Web Sockets, RabbitMQDevOps
Kubernetes, Docker, Jenkins CI/CD, Github ActionsTools
Git, Swagger, Jira, ServiceNow, Postman, RedHat OpenShift, Grafana, SplunkLibraries
NumPy, Pandas, SciPy, Scikit-Learn, Matplotlib, Seaborn, PyTorch, NLTK, FoliumDomains
DevOps, Cloud Services, Machine Learning, Data Analytics, Agile Development, MicroservicesMachine Learning Techniques
Supervised & Unsupervised Algorithms, Optimization techniques, Kernel Methods, Feature EngineeringDevelopment Processes
SDLC, Agile, Microservices ArchitectureProjects
"It's not the ideas; it's design, implementation and hard work that make the difference." - Michael Abrash
LATS
Live Assistance and Tracking System
IDEA
Current socio-economic situations around the world have seen a drastic rise in crime rate, making it difficult for authorities to control. Our system emphasizes stopping crime before it is committed by ensuring the safety of individuals and saving resources. This system provides live assistance during emergencies by deploying a special armed task force to handle dangerous situations before they escalate.
Accomplishment
- System that establishes contact between the victim and the nearest police resource through a small device.
- Handles impatient/panicked behavior to prevent misuse.
- Enables police to reach the victim quickly by tracking their location.
Paper Citation
Katkhede, P. & Todmal, V. & Pandey, D. & Saini, A. & Patil, B.A.. (2019). Live Assistance And Tracking System(LATS) using Cloud and IoT. International Journal of Computer Sciences and Engineering. 7. 749-751. DOI: 10.26438/ijcse/v7i1.749751.
Silicon Level Forecasting using LSTM
Predicting Si Levels in Rivers for Marine Diatoms' Survival
Abstract
This project aims to forecast silicon (Si) levels in rivers using LSTM (Long Short-Term Memory) networks. Silicon is a crucial nutrient for marine diatoms, essential for one-fourth of global primary production. Our LSTM model analyzes aquatic, ecological, and climatic parameters to predict Si levels, offering insights into nutrient processing in rivers.
Accomplishment
- Developed an LSTM-based model to predict Si levels from time-series data.
- Integrated climate and ecological variables to enhance prediction accuracy.
- Provided valuable insights for marine ecosystem conservation and climate change mitigation.
- Explored the idea of having historical significance in the Si values through time-series setup.
Research Motivation
Climate change is disrupting nutrient cycles, making accurate predictions vital for maintaining ecosystem balance. This project fills a gap by applying LSTM networks to predict riverine Si levels, which is essential for sustaining marine life, especially diatoms.
Ethical Analysis of Media Recommenders
Social and Ethical Implications of Algorithm-Driven Media Recommendations
Executive Summary
With the rapid development of technology, algorithmic recommendation systems have become crucial to online media consumption. This project explores the ethical complexities of these systems, focusing on platforms like Netflix, YouTube, Instagram, and Reddit. These algorithms enhance user experience but also pose ethical challenges, particularly regarding their influence on users, content creators, and society.
Accomplishment
- Analyzed ethical concerns of personalization algorithms on social media and streaming platforms.
- Explored accountability in AI-based systems, discussing issues like algorithmic transparency and user impact.
- Provided recommendations for policymakers and developers to mitigate ethical risks.
- Reviewed novel techniques like collaborative filtering and attention mechanisms to improve system explainability.
Research Focus
This project calls for greater accountability and ethical reflection on media recommendation systems. By emphasizing transparency and user control, the research highlights the need for balancing innovation with responsibility in the digital age.
Journey
Education
Master of Science in Computer Science
2022 - 2024
Oregon State University, Corvallis, OR
GPA: 3.75/4.0
Bachelor of Engineering - Computer Engineering
2015 - 2019
Savitribai Phule Pune University, Pune
GPA: 3.44/4.0
Professional Experience
Graduate Teaching Assistant
Jan 2023 – June 2024
Oregon State University, Corvallis, OR
Application Developer - DevOps
Oct 2019 – July 2022
IBM, Bangalore, India
Data Science Intern
July 2019 – Oct 2019
TechAmplifiers, Pune, India
Hire me
I am actively seeking for full-time opportunities in the field of Machine Learning and Software Engineering.
katkhedepushpak@gmail.com
Call
+1 (458) 282 8651
Location
Corvallis, OR, USA