Hey there 👋 I am Kshitij Zutshi !

Passionate about Applied AI in Software Engineering 🚀

Software Engineering | Data Visualization | Explainable AI | MLOps | Prompt Engineering | LLM RLHF Training

I am an experienced Software Engineer currently conducting comparative analysis and implementing RLHF(Reinforcement Learning by Human Feedback) to optimize AI accuracy and safety for Open AI Project Feather.

Formerly I have worked as a Software Engineer Co-Op at Philips with a focus on building APIs, Microservices, and CI/CD Pipelines using GitHub Actions, AWS, Terraform, and ArgoCD 🧠.

I ❤️ building APIs and Microservices to leverage the power of Applied AI in Software. Ready for new SWE/Data Opportunities! 🚀

• 🔭 I’m currently taking the Neural Networks and Deep Learning to gain conceptual knowledge on neural Networks and Deep learning.

• In my most recent exploratory project I worked to deploy an AI microservice REST API endpoint using FastAPI,PyTesseract & Streamlit cloud App Platform : FAST-API-Text-OCR

• 🌱 My Most recent projects:

Project	Description
Content Based Music Recommendation System - Spotify	Spotify Millions Playlist AI crowd challenge
Building a Big Data Pipeline for weather Nowcasting on SEVIR data	MIT - SEVIR Dataset Challenge
Understanding Image Segmentation using UNet & Model intepretability using Pytorch Captum	Image Segmentation Jupyter Notebook
Multi class image classification using CNN	Multi class image classification using CNN Jupyter Notebook

📊 My Data Visualization Portfolio on Tableau Public Cloud ☁️

Kshitij Zutshi - Tableau Public Profile

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🌱 My Contributions So Far!

📝 My Latest Blog Posts in Medium