AI / ML Engineer Intern
LivePerson Inc.New York, NY
Built prompt optimization systems to enable quick and efficient migration to different LLMs and LLM providers.
Vijay Ram Enaganti
I specialize in Generative AI and Machine Learning.
I build AI products at the intersection of research, systems, and product.
Exploring new avenues and opportunities to build intelligent systems that solve real-world problems.
Favourite line: "Humans are smart enough to invent AI, dumb enough to need it, and so stupid that we can't figure out if we did the right thing." - Jerry Seinfeld
Information and Reach
- GitHub
- Blogs on Hashnode
- Riverside, California
Role
Applied AI / ML Engineer
Focus
- Modern AI Research and Engineering
- Generative AI
- Prompt Engineering
- Machine Learning
- Data Science
- AI Product Development
Experience
Machine Learning Research Intern
Center for Information Security, Forensics and Cyber Security Research (C-ISFCR) @ PES UniversityBangalore, India
Real-time video analysis for anomaly detection using deep learning models.
Projects
Automatic Prompt Optimizer using DSPy
GENERATIVE AI - DSPy
An automated prompt optimizer using DSPy to optimize prompts for LLMs.
DSPyLLMsFastAPIPyTorch
Query Filtering using LLMs
GENERATIVE AI - SLM - FINE TUNING
Fine-tuning SLMs for query filtering (identifying and removing irrelevant queries and small talk in queries).
Gemma 3PyTorchHugging FaceWeights & Biases
Education
M.S. Computer Science
University of California, RiversideRiverside, CA
Specialized in Artificial Intelligence and Systems Architecture.
B.S. Computer Science and Engineering
PES UniversityBangalore, India
Python programming and core computer science fundamentals.
Writing & Notes
Blog
My implementation of TurboQuant algorithm by Google
I implemented the TurboQuant algorithm by Google in PyTorch.
ResearchAIPyTorchOptimizationLLMK-V CacheQuantizationGoogle
Read on Hashnode →