M S L Gayathri

Software Engineer

Bengaluru, Karnataka, India5 yrs 9 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • 5+ years of RPA development experience
  • Managed 40+ RPA bots for critical processes
  • Expert in integrating AI and automation tools
Stackforce AI infers this person is a RPA Developer with expertise in SaaS automation solutions.

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Skills

Core Skills

Rpa DevelopmentAutomation SolutionsIntelligent AutomationData VisualizationMachine Learning

Other Skills

Microsoft Power AutomateAutomation AnywhereUiPathGenerative AIOCRAPIsPythonRPAAutomation ToolsRPA ToolsPower BINatural Language ProcessingLogistic RegressionGradient BoostingSVM

About

RPA Developer with 5+ years of experience in designing and deploying automation solutions using Microsoft Power Automate, Automation Anywhere, and UiPath. Developed and supported 40+ RPA bots including 5 UiPath bots in production environments. Experienced in integrating Generative AI, OCR, and APIs for intelligent automation and document processing. Strong understanding of the full RPA lifecycle including development, deployment, monitoring, and support. KEY HIGHLIGHTS Managed and maintained 40+ RPA bots across business-critical processes. Supported and monitored 5 UiPath bots in production environments. Implemented Generative AI for extracting structured data from unstructured PDFs. Built end-to-end automation solutions using Python, OCR, and RPA tools. Developed Power BI dashboards for monitoring user interactions for a separate, cross-functional team’s projects.

Experience

5 yrs 9 mos
Total Experience
2 yrs 10 mos
Average Tenure
3 yrs 2 mos
Current Experience

Omega healthcare management services

SOFTWARE ENGINEER - TECHNOLOGY

Apr 2023Present · 3 yrs 2 mos · Bengaluru, Karnataka, India · Remote

Microsoft Power AutomateAutomation AnywhereUiPathGenerative AIOCRAPIs+3

Qualcomm

Programmer Analyst, Assoc

Jan 2020Aug 2022 · 2 yrs 7 mos · Bangalore · Hybrid

Omega health care private limited

Machine learning Intern

Jun 2019Aug 2019 · 2 mos · Bangalore

  • Context analysis of medical data to detect the presence of negation in a given text using Natural Language Processing to predict the icd and cpt codes. Different models like Logistic regression ,Gradient Boosting classifier , SVM , BaggingClassifier with GradientBoostingClassifier,Bidirectional LSTM were applied on the data and finally Bidirectional LSTM was implemented as it was giving highest accuracy.

Education

B. M. S. College of Engineering

Bachelor of Engineering - BE — Computer and Information Sciences and Support Services

Jan 2016Jan 2020

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