Apziva Community
​Discover the voices, projects, and stories of our vibrant Apziva community. From hands-on data science and AI projects to personal reflections and career milestones, this space showcases the diverse journeys of our residents—past and present.
Medium Articles
Dive into thoughtful reflections, technical deep-dives, and inspiring stories written by Apziva residents. These articles cover everything from hands-on project experiences and AI explorations to personal growth throughout the residency. Each piece offers a unique perspective on life at Apziva and beyond.
​Identifying and Ranking Talented Candidates Using AI
By: Christopher Turner
Link: Read the Article
Description: A detailed walkthrough of building an AI system to evaluate and rank job candidates, focusing on fairness and efficiency.
Refreshment and Resolutions
By: Indrani Banerjee
Link: Read the Article
Description: In this thoughtful piece, Indrani shares her personal journey during and after Apziva—from challenges faced to new perspectives gained.
What Life Is Like At Apziva
By: Jo Vincent Ruiz
Link: Read the Article
Description: Jo reflects on the Apziva experience—from hands-on learning to the collaborative environment that shapes both technical growth and personal development.
My Journey Through the Apziva AI Residency Program
By: Zeynep Pelin Demir ÅžimÅŸek
Link: Read the Article
Description: Zeynep shares her full journey through the Apziva AI Residency Program highlighting her learning process.
Risk Manager at Veros Credit
Being a part of Apziva’s inaugural batch, my team’s task was to build a Job Recommendation Engine. We were responsible for the architecture of the app. From choosing the tech stack we utilized to the specific features for our users. We started fresh: No platform or algorithms, and gradually built towards our current resident platform, the hub of the Apzivan experience. As a team that has never before met, we set out to build version 1.0 of a Job Recommendation Engine that would help all future Apzivan’s to come.
Youtube Videos
Explore project presentations, walkthroughs, and demos created by Apziva residents during their time in the program. These videos showcase applied skills in machine learning, data analysis, NLP, computer vision, and more.
By: Christopher Turner
Link: Watch on YouTube
Description: A video presentation showcasing a machine learning project, highlighting model building, insights, and visualizations.
A Career Transition Into Data Science
By: Rubén Chuliá Mena
Link: Watch on YouTube
Description: Discover how Ruben transitioned from a software engineer to a successful career in data science with Apziva AI Residency.
Sales Forecasting with LSTM
By: Ernest Braimoh
Link: Watch on YouTube
Description: Ernest uses LSTM to forecast sales, showing how deep learning aids business planning through trend prediction.
Breaking into Data Science: AskMeAnything with Keshav Somani
By: Keshav Somani
Link: Watch on YouTube
Description: In this recorded event, Keshav shares invaluable tips and strategies for aspiring data scientists looking to excel in the AI/ML industry.
Building a Generative AI Candidate Ranking System
By: Yoojin S.
Link: Watch on YouTube
Description: A resident walks through the full pipeline of building, training, and deploying a machine learning model into production.
Breaking Into Data Science AskMeAnything with Bhargav Abhiram
By: Bhargav Abhiram
Link: Watch on YouTube
Description: AnAMA session with Bhargav where he shares career advice, real-world data science insights, and his journey through top data roles in the industry.
AI Engineer at WayOps
I studied Telecommunication Engineering. When I finished my studies, I really did not know what Machine Learning was. At the begining of 2023, I joined Apziva AI Residency. Before finishing my sixth project, I got an offer. Joining at Apziva made me be more relaxed because I knew months after months I would create my portfolio so I had something to show during interviews. Actually, it was one of these projects the one who got me this first transitional role.
LinkedIn Posts
Get a glimpse into the journeys of Apziva residents through their LinkedIn posts. From project highlights and job updates to learnings and milestones, these posts reflect real progress, community engagement, and career growth. Follow their stories as they share what it’s like to learn, build, and grow at Apziva.
Bridging Hardware and AI Vision
By: Pragat Pagariya
Link: View on LinkedIn
Description: Pragat developed a system integrating deep learning and hardware optimization for real-time visual intelligence.
Enhancing Candidate Sourcing
By: Ali Zoljodi
Link: View on LinkedIn
Description: Ali introduced 'Potential Talents,' a system combining traditional NLP and advanced LLMs to assess and rank candidates based on context.
Optimizing Term Deposit Marketing with ML
By: Japhet Hernández-Vaquero
Link: View on LinkedIn
Description: Japhet developed a two-layer machine learning system to predict customer subscriptions to term deposits.
Intelligent Value Investing System for Emerging Markets
By: Farid Shahnavaz
Link: View on LinkedIn
Description: Farid built a value investing system for emerging markets using models like ARIMAX and LSTM.
Member of Technical Staff at Vast.ai
It was a pleasure working alongside Semih Yagcioglu to leverage machine learning techniques for predicting customer satisfaction and optimizing operational efficiency—empowering data-driven decision-making.