Ritika Hooda
Research Extern @ Adobe
About
I’m an AI / Machine Learning Engineer who enjoys building real-world ML and LLM systems that actually ship. I’ve worked across finance, telecom, and research, taking models from data processing and training all the way to deployment and monitoring. My recent work focuses on LLMs, agentic AI, multimodal learning, and distributed systems. I also bring solid software engineering experience - backend services, REST/gRPC APIs, databases, cloud infrastructure, and microservices - mainly using Python, Java, and Kubernetes. Currently, I’m working on agentic LLM platforms at Nokia and researching structural interpretability of LLMs at Adobe, with a couple of peer-reviewed publications in healthcare AI. I like bridging research ideas with practical engineering to build scalable, reliable AI systems.
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United States
Computer Software
Natural Language Processing (NLP), Large Language Models (LLM), Software Development, Agentic AI, Machine Learning, Python (Programming Language), PyTorch, Kubernetes, Model Context Protocol, Multi-modal ML, Computer Vision, Information Retrieval, C++, Front-End Development, Databases, Statistical Data Analysis, Literature Reviews, Apache Flink, Software Design, Shell Scripting
Experience
Research Extern
Adobe
As part of the course COMPSCI 698DS - Industry Mentorship Program at Umass Amherst, I am working with Tong Yu from Adobe Research on Structural Interpretability of Agentic LLMs through Latent State Modeling
AI Engineer
Nokia
Sunnyvale, CA
I am working on agentic LLM systems, building end-to-end pipelines for structured generation, validation, and evaluation with Model Context Protocol (MCP) servers for tool integration and scalable enterprise deployment
Assistant Vice President - Software Engineer
Wells Fargo
Bengaluru, Karnataka, India
Worked as a developer for Java/MongoDB/Spring application serving data needs for capital market technology in the Commercial and Corporate Investment Banking Technology Division
Global Alpha Researcher
Trexquant Investment LP
Developed 100+ market-neutral alpha signals for live global equity trading using sentiment, fundamental, and technical financial market data, applying regression and machine-learning models to predict risk-adjusted returns. Received a full-time Quantitative Researcher offer for exceptional performance.
Research Assistant
University of Technology Sydney
Worked under the supervision of Dr. Mukesh Prasad and co-authored a research paper published in MDPI Sensors on machine learning techniques for medical diagnosis. Conducted statistical analysis on a dataset of 168 patients to derive diagnostic insights and contribute to advancements in healthcare AI research.
Software Engineer Intern
Dhani
Developed an automated UX testing tool in Javascript to compare and differentiate sass styles by converting them into abstract syntax trees.
Software Engineer Intern
Wells Fargo
Bengaluru
Developed a Python/Flask web application with HTML/CSS that enabled natural-language querying of MySQL and Neo4j databases. Implemented rule-based grammar and integrated the open-source RASA NLU engine for efficient query processing, which led to a Return Offer from Wells Fargo.
Education
University of Massachusetts Amherst
Computer Science
Courses : 1. Advanced Algorithms 2. Advanced Machine Learning 3. Systems for Data Science 4. Distributed and Operating Systems 5. Advanced Natural Language Processing 6. Methods of Applied Statistics 7. Reinforcement Learning 8. AI Alignment
Indian Institute of Technology, Delhi
Computer Science
Courses : 1. Stochastic Control & Reinforcement Learning 2. Information Retrieval & Web Search 3. Principles of Artificial Intelligence 4. Probability & Stochastic Processes 5. Database Management Systems 6. Parallel & Distributed Computing 7. Analysis & Design of Algorithms 8. Computer Networks 9. Computer Architecture 10. Operating Systems 11. Calculus 12. Linear Algebra 13. Digital Logic & Design 14. Logic for Computer Science 15. Design Practices 16. Numerical Algorithms 17. Data Structures and Algorithms
Ritika Hooda's Contact Information
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