Soundarya Sarathi
@soundaryasarathi
AI/ML professional with 3.4 years of experience developing GenAI, agentic AI, and machine learning solutions for enterprise applications.
IndiaWhat I'm looking for
At Accenture, I architected a multi-agent chatbot for refinery data, using specialized agents for NL2SQL, time-series analytics, clustering, plotting, and contextual insights. It achieved approximately 85% answer accuracy on refinery lpo data.
I also developed a domain-specific RAG pipeline for risk assessment and a BERT-based query validation model deployed as a FastAPI service on Azure Kubernetes Service. My work at Accenture includes an automated root cause analysis application that reduced manual analysis effort and turnaround time by 40%, as well as a predictive maintenance system for an industrial cooker.
Previously, at Flutura Decision Sciences & Analytics, I built an AI-powered technical document summarization system. My projects include benchmarking vLLM and SGLang, building an MCP-based agentic platform, fine-tuning a language model for medical domain adaptation, and developing a license plate recognition pipeline.
Experience
Work history, roles, and key accomplishments
Architected a multi-agent AI chatbot using Semantic Kernel, LangGraph, and A2A protocol, achieving ~85% answer accuracy on refinery data. Developed RAG pipelines, intent detection models, and predictive maintenance systems, reducing manual analysis effort by 40%.
Data Science Analyst
Flutura Decision Sciences & Analytics
Jun 2023 - Nov 2023 (5 months)
Built an AI-powered technical document summarization system using TextRank and Azure OpenAI, incorporating NLP preprocessing pipelines with SpaCy, NLTK, and Gensim. Completed a trainee program focused on applied machine learning, NLP, and industrial AI solutions.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Science Education and Research (IISER) Trivandrum
MS by Research, Mathematics
2020 - 2023
Grade: 8.83/10
MS by Research in Mathematics with a CGPA of 8.83/10. Master's project focused on numerical simulation of fluid flow in curved domains using Navier-Stokes equations and Physics-Informed Neural Networks.
Amrita Vishwa Vidyapeetham
BSc, Mathematics
2017 - 2020
Grade: 9.41/10
BSc in Mathematics with a CGPA of 9.41/10.
Stanford University
Machine Learning Specialization, Machine Learning
Completed the Machine Learning Specialization certification.
Edureka
Optimizing and Deploying LLM Systems, LLM Systems
Completed the Optimizing and Deploying LLM Systems certification.
Udemy
Scala Programming Language, Programming
Completed the Scala Programming Language certification.
Stanford University
Neural Networks and Deep Learning, Deep Learning
Completed the Neural Networks and Deep Learning certification.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Salary expectations
Job categories
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