Rasika Deodhar
@rasikadeodhar
AI/ML developer building end-to-end LLM applications—chatbots, document extraction, and RAG—using Python and agentic workflows.
United StatesWhat I'm looking for
I’m an AI/ML developer with hands-on experience building and deploying LLM-based applications end to end—LLM-powered chatbots, document extraction, and question-answering systems. I focus on Retrieval-Augmented Generation (RAG) and AI agentic workflows (LangChain, n8n), integrating vector databases like Chroma, Qdrant, and Pinecone to deliver strong semantic search and retrieval. I’ve worked with models including OpenAI GPT-4o and Llama 3, translating complex AI ideas into solutions teams can adopt.
In recent roles, I’ve designed agentic AI workflows in n8n integrated with Salesforce to enable autonomous triage and resolution of post-sales support requests, and I helped build an AI-guided “Intelligent Front Door” portal unifying support, onboarding, and product resources. Previously, as an Applications Developer at MMC Innovation Lab, I developed a company-wide LLM-powered chatbot (LenAI) and RAG-driven document extraction that reduced manual data entry time by 40%, and I accelerated internal R&D by 3 weeks through OpenAI/Llama PoCs using LangChain and vector databases. I also drove documentation and knowledge sharing—authoring reusable prompt libraries, running workshops, onboarding 100+ employees—and built internal APIs and client libraries for Text-to-Speech and Speech-to-Text supporting 10k+ monthly API calls.
Experience
Work history, roles, and key accomplishments
Designed and built agentic AI workflows in n8n integrated with Salesforce to support autonomous triage and resolution of post-sales support requests. Collaborated with executive and cross-functional stakeholders to develop an AI-guided customer success portal unifying support, onboarding, and product resources.
Applications Developer
MMC Innovation Lab
Oct 2022 - Jul 2024 (1 year 9 months)
Developed and deployed generative AI solutions in Python, including an LLM-powered chatbot and document extraction workflows using prompt engineering and RAG. Built and evaluated PoC applications with OpenAI GPT and Llama using LangChain and vector databases for semantic search and question-answering.
Developed and maintained full-stack features for a global scaled application using Java 8, Spring Boot, Angular 9/10, and Oracle DB, improving system throughput. Migrated UIs from legacy systems to Angular and supported high-volume trading platform operations with Agile collaboration and on-call responsibilities.
Developed backend REST APIs with Java 8/Spring Boot and frontend components in React for a cloud-native data governance platform. Gained experience with enterprise code reviews and CI/CD practices.
Education
Degrees, certifications, and relevant coursework
St. Cloud State University
Master of Engineering Management, Engineering Management
Grade: GPA: 4.0
Master’s in Engineering Management program at St. Cloud State University, expected completion in April 2027.
University of Pune
Bachelor of Engineering, Information Technology
2017 -
Grade: GPA: 3.60
Bachelor of Engineering in Information Technology at the University of Pune starting in July 2017.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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