Muskan Pareek
Open to work1 years experienceSoftware Engineer
Software Engineer specializing in Production integration and Generative AI.
Standing Rank
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Skills & Technologies
25 skillsGitHub Activity Evidence
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Work Experience
Software Engineer
Capgemini
- Design and develop 5+ MuleSoft integration flows connecting Salesforce CRM with third-party platforms via REST and SOAP APIs, enabling real-time AI-driven data exchange.
- Worked with Salesforce Agentforce to configure and deploy AI-powered agents, enabling automated customer interactions, intelligent case routing, and streamlined business processes across Salesforce applications.
- Leveraged Anypoint Code Builder to develop, test, and maintain integration solutions, working extensively with 8+ REST and SOAP APIs to connect Salesforce, external applications, and enterprise systems for efficient data synchronization and process automation.
Projects
Covid Case Management System
- Designed and developed 4+ RESTful APIs on the MuleSoft Anypoint Platform, developed seamless backend integration to generate and return case IDs, user responses, and dynamic state-wise reports in a scalable manner.
- Deployed APIs to CloudHub and managed them via API Manager, enforcing required security and governance policies.
- Integrated Mule applications with Salesforce via Salesforce Connector to perform query, create, update, and delete operations on Salesforce records.
- Implemented Salesforce Agentforce to enable AI-driven autonomous agents for end-to-end COVID case workflows allowing users to register cases, retrieve details, and fetch state-wise reports through natural language, eliminating manual API invocation.
RAG-Based AI Chatbot
- Developed and deployed a Retrieval-Augmented Generation (RAG) chatbot using Python, LangChain, Gemini API, ChromaDB, and Streamlit, capable of processing 100+ pages of PDF documents for conversational question answering.
- Implemented the complete RAG pipeline, including document ingestion, text chunking, embedding generation, vector storage in ChromaDB, semantic similarity search, and context-aware response generation using the Gemini LLM.
- Designed an interactive Streamlit web interface for PDF upload and real-time conversational question answering, delivering accurate responses grounded in the uploaded document content.
Leaderboard Standings
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Assessment Highlights
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AI Collaboration Score
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Role Compatibility Profile
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Achievements
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About Details
Professional Bio
Software Engineer at Capgemini specializing in MuleSoft integration and Generative AI. Adept at designing and deploying API-led connectivity solutions across enterprise systems with hands-on experience building LLM-powered applications using RAG, LangChain, and vector databases.
Bachelor of Technology in Computer Science
Government Women Engineering College (2021 - 2025)
Senior Secondary Education
RBSE (2020 - 2021)