Gayatri Kharche
Data Engineer @ MedWatchers
About
I’m a Machine Learning Engineer with cross-domain experience spanning LLMs, MLOps, distributed computing, data analytics, and embedded systems. I’ve developed end-to-end AI solutions at the San Diego Supercomputer Center, automating PromQL query generation and time-series visualizations using LLM agents, Python, and JavaScript, reducing technical dependency. My unique edge lies in blending AI research with system-level engineering—from optimizing HPC workflows to deploying scalable pipelines and working on IoT energy systems. I bring hands-on experience from startups to enterprise (HPE) and a foundation in infrastructure tools like Docker, Kubernetes, Linux, and cloud platforms.
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United States
Information Technology & Services
Django, Flask, React.js, Node.js, Prometheus, Retrieval-Augmented Generation (RAG), Thanos Query API, PromQL, LiteLLM, AIF, AI Agents, Generative Adversarial Networks (GANs), GPU, Image Inpainting, Augmented Reality (AR), Unity3D, Java, JavaScript, Recommender Systems, Logistic Regression
Experience
Data Engineer
MedWatchers
San Diego, California, United States
Machine Learning Graduate Researcher
San Diego Supercomputer Center
San Diego, California, United States
- Developed an end-to-end AI pipeline to automate PromQL query generation, fetch time-series data from Thanos, and create interactive visualizations. - Implemented multiple AI strategies including LLM finetuning, retrieval-augmented generation (RAG) using LangChain and FAISS, and tool-calling agents for dynamic query and plot code generation. - Built RAG-based pipelines integrating LangChain, FAISS, and Thanos Query APIs, enabling real-time information retrieval and visualization from user prompts. - Reduced manual effort by 80%, empowering non-technical users to generate customized data visualizations without engineering support.
Machine Learning Intern
San Diego Supercomputer Center
San Diego, California, United States
- As an intern, I conducted performance benchmarking for 5+ machine learning models across datasets ranging from 150 MB to 150 GB, leveraging HTCondor and PyTorch for distributed computing. I optimised data access methods on OSPool, achieving a 20% improvement in computational efficiency. Additionally, I tested GPU performance for time-series analysis, ensuring faster and more reliable AI workflows on large-scale systems.
Instructional Assistant
UC San Diego
San Diego, California, United States
ECE 107: Electromagnetism
Software Engineer Intern
Hewlett Packard Enterprise
Pune, Maharashtra, India
- Received intensive training in HPE GreenLake, network fundamentals, cloud computing, server management, VMware, Shell Scripting and Linux fundamentals. - Contributed to a VMware project, gaining hands-on experience in domain establishment, virtual machine configuration, and the implementation of DNS, NTP, and vCenter. - Developed expertise in templates, content libraries, and migration strategies, streamlining virtualized environment management. - Gained practical experience in Windows Server Administration under Managed Services, leveraging server configuration, maintenance, and troubleshooting.
Analyst
Prakalp
Pune, Maharashtra, India
Student Branch Member
IEEE
Education
UC San Diego
Machine Learning and Data Science
Coursework: Statistical Learning, Probability and Statistics for Data Science, Programming for Data Analysis, Linear Algebra, Machine Learning Algorithms, Introduction to Deep Learning, Big Network Data, Random Process, Introduction to Visual Learning, Recommender System and Web Mining, Statistical Natural Language Processing, Statistical Learning II
Pune University
Electronics and Telecommunications Engineering
Relevant Coursework: Programming and Problem Solving, Engineering Mathematics I, Engineering Mathematics II, Engineering Mathematics III, Data Structures, Data Analytics, Object Oriented Programming, Fundamentals of Java Programming, Advanced Java Programming, Database Management, Project Management, Cloud Computing, JavaScript
The Orchid School
Science
The Orchid School
Gayatri Kharche's Contact Information
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