About
I am a current Grad student at Oregon State University majoring 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
During my professional experience, I worked in multiple verticals like software development, infrastructure, and potential client case studies.
- 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++, JavaScriptDatabases
MySQL, PostgreSQLFrameworks
Node.js, Flask, Django, React, SQLAlchemyTechnologies
Kubernetes, Docker, Jenkins CI/CD, AWS, AWS Comprehend, Amazon SageMakerTools
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 EngineeringWeb Technologies
HTML/CSS, Bootstrap, JSON, REST API, Web Sockets, RabbitMQDevelopment 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.
Resume
Summary
Pushpak Vijay Katkhede
Self-motivated and result-driven master’s student with 3 years of professional experience in DevOps, Cloud, and Data Science. Passionate about developing innovative solutions with strong analytical and problem-solving skills.
- Corvallis, OR
- (458) 272-8651
- katkhedepushpak@gmail.com | Portfolio | LinkedIn | GitHub
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: 8.1/10.0
Professional Experience
Graduate Teaching Assistant
Jan 2023 – June 2024
Oregon State University, Corvallis, OR
- Mentored 126 students to analyze, test, fix bugs, and contribute to OSS licensed software.
- Trained students in mastering GitHub, delivering training on version control, collaborative coding, workflows, and resolving merge conflicts.
- Assisted students in building full-stack MERN applications, showcasing integration and leveraging various technologies.
DevOps Application Developer
Oct 2019 – July 2022
IBM, Bangalore, India
- Built Chat Summarization application using cloud-based NLP models, moderating read time by 75%.
- Designed virtual dispatchers improving system availability by 23%, saving $75,000 in SLA penalties monthly.
- Led a team of 7 engineers in integrating 4 applications for metrics projection and dashboard instrumentation.
- Performed case studies of 20+ client architectures, providing solutioning presentations, deployment plans, and risk mitigation.
- Implemented "DevOps Commander" for seamless Kubernetes and Docker operations via chat commands on Slack.
- Programmed “IT-Control-Tower” to bundle orchestration scripts for deployment of tools and environment setup using Infrastructure as Code (IaC), triggering setups in under 3 seconds.
Data Science Intern
July 2019 – Oct 2019
TechAmplifiers, Pune, India
- Implemented Python scripts for data loading, preprocessing, and model accuracy evaluation.
- Created visualizations using Seaborn and Matplotlib to identify trends and patterns in business data.
- Analyzed business data, providing insights to optimize productivity and develop solutions for business problems.
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, Oregon, USA