Hi, I'm Shilpa
Embarking on an AI adventure: crafting solutions as an AI engineer today, discovering insights as an AI researcher tomorrow.
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Building on 12+ years in software engineering and product management, I’m now completing my Master’s in AI to embark on the next chapter: advanced AI engineering. Along the way, I’ve co-authored a research publication on predicting emergency department readmissions. My key strengths include NLP, Large Language Models (LLMs), Recommendation Systems, and Reinforcement Learning, giving me a broad technical foundation to tackle diverse AI challenges. I combine a deep technical background with a product-oriented mindset, ensuring that AI solutions not only push boundaries but also align with real-world needs. If you’re looking for an AI Engineer who can build cutting-edge systems and drive innovation —while aspiring to grow into AI research—let’s connect and explore how we can make a difference together!
Experience
My journey in the academic & professional frontAI Research Assistant
DePaul University, Chicago, IL, U.S.M.S. in Artificial Intelligence/h3>
DePaul University, Chicago, IL, U.S.
Sep 2023 - Present
Product Manager
R1 RCM, Chicago, ILDevelopment Manager
R1 RCM, Chicago, ILM.S. in Software Engineering
DePaul University, Chicago, IL, U.S.Test Analyst
CSC Australia Pty Ltd, AustraliaAnalyst Programmer
Syntel Ltd, INDIAMasters in Computer Applications
University of Pune, INDIABachelors in Computer Applications
University of Indore, INDIASkills
Skills that bridge ideas to innovation.AI and Machine Learning
1+ Years XPMachine Learning Algorithms
95%Deep Learning Architectures
95%Generative AI
95%Natural Language Processing
95%Reinforcement Learning (RL)
75%Recommendation Systems
75%Retrieval-Augmented Generation (RAG)
75%Statistical Modeling & Probabilistic Reasoning
95%Programming
7+ Years XPPython
95%SQL
95%C#.Net
95%Java
70%Computing
3+ Years XPGPU & Distributed Computing
80%Amazon Web Services
70%Microsoft Azure
70%Frameworks & Libraries
1+ Years XPTensorFlow
90%PyTorch
90%Scikit-learn
95%Keras
85%Hugging Face Transformers
75%SpaCy/NLTK (NLP libraries)
50%Data Engineering
1+ Years XPData Preprocessing and Feature Engineering
95%Data Wrangling and Cleaning
95%Dimensionality Reduction (PCA, t-SNE)
75%Distributed Data Handling (Spark, Hadoop)
80%Tools & Platforms
1+ Years XPJupyter Notebook
95%Google Colab
95%Git and Version Control
95%Projects
Turning ideas into impactful solutions—one project at a time.
CineSense: Leveraging Sentence-BERT & RL for Smart Recommendations
CineSense is an AI-driven movie recommendation system that leverages Retrieval-Augmented Generation (RAG) and Reinforcement Learning (RL) to provide highly personalized and engaging content suggestions. Using Sentence-BERT for intelligent retrieval and RL agents to optimize user engagement, CineSense enhances content discovery by learning from user interactions and adapting recommendations in real-time.
CognitiveBot: A RAG-Powered, Voice-Enabled AI Tutor for Multilingual Learning
CognitiveBot – An AI-powered, voice-enabled learning assistant designed to help users master AI concepts. Using Retrieval-Augmented Generation (RAG), it provides accurate answers, multilingual support, interactive coding exercises, and personalized learning paths. With speech recognition and text-to-speech capabilities, users can engage with AI through voice commands, making learning more accessible and interactive.
Unlocking the Syndemics Approach: How Machine Learning Reveals Disease Interactions
The concept of syndemics represents the synergistic interaction of two or more diseases or health conditions that exacerbate the negative health outcomes associated with each individual condition.
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Predicting Emergency Department Readmissions
This study explores the role of Community Health Workers (CHWs) and Social Determinants of Health (SDoH) in reducing 30-day unplanned Emergency Department (ED) readmissions at Sinai Chicago. The research leverages machine learning to assess the impact of integrating CHWs and SDoH data in predictive models.
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Exploring AI insights and ideas
Predicting Emergency Department Readmissions
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Unlocking the Syndemics Approach: How Machine Learning Reveals Disease Interactions
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CineSense: An Intelligent Assistant for Movie Lovers
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Reinforcement Learning 101: An Introduction to Learning Through Interaction.
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K-Armed Bandits in Action: Concepts, Code, and Practical Implementation.
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