Muskan V.
AI Engineer Intern
Experience
Aug 2024 - Jul 2025
1 yearAI Engineer Intern
SagasIT Analytics
- Engineered and scaled a production RAG pipeline using LangChain and Pinecone on AWS, implementing dynamic chunking and metadata filtering, which improved semantic search recall rate by 25% and reduced average retrieval latency for end-users.
- Developed a stateful, multi-agent research assistant using LangGraph to orchestrate specialized agents for search, summarization, and data analysis, integrating Mem0 for long-term conversational memory and context management, increasing complex task completion rates by 30%.
- Established a robust evaluation framework using RAGAS and Langfuse to continuously monitor the RAG pipeline and agent performance, tracking key metrics like answer faithfulness and context relevance, which led to a 15% month-over-month improvement in answer quality.
- Developed the scenario generation engine that produced 200+ complex business decision scenarios across compliance, financial analysis, and strategic planning domains, enabling comprehensive testing of multi-step reasoning in enterprise contexts.
- Built foundational data pipelines for NLP applications by cleaning and preprocessing unstructured text data, implementing data quality checks that improved dataset readiness for downstream AI model training by 40%.
- Gained exposure to cloud deployment practices including Docker containerization and AWS infrastructure, collaborating with the DevOps team to understand production requirements and scalability considerations.
Jan 2022 - Jan 2024
2 years 1 monthSenior Business Intelligence Analyst
Grand View Research
- Analyzed business inefficiencies using Python (Pandas, NumPy, Matplotlib), delivering insights that improved operational efficiency by 25%.
- Engineered and automated scalable ETL pipelines using Python, reducing data preprocessing time by 50% and providing clean, reliable data for AI model training and development.
- Created interactive dashboards (Dash, Plotly) to visualize complex data and model insights, improving stakeholder interpretation of data patterns and accelerating decision-making by 30%.
- Built foundational data infrastructure by leading a migration to Azure Data Lake and Azure SQL, implementing robust data validation and automated pipelines to ensure 99 data integrity, a critical prerequisite for production AI systems.
Jan 2021 - Jan 2022
1 year 1 monthAssociate - Business Intelligence Analyst
Grand View Research
- Optimized data processes using SQL and Python, accelerating data availability for AI projects by 50% and supporting improved predictive accuracy.
- Designed and deployed 50+ interactive Power BI dashboards, leveraging user behavior analytics to enhance business intelligence visibility and drive a 40% increase in actionable insights.
- Applied advanced DAX formulas, Power Query, and data visualization techniques, streamlining reporting processes.
Summary
Generative AI & MLOps Engineer with a proven track record of architecting and deploying sophisticated LLM applications and autonomous agentic systems in production environments. Expert in leveraging LangChain, LangGraph, and LLMs to build stateful multi-agent workflows and high-performance RAG pipelines using vector databases like Pinecone. Passionate about solving complex business problems by integrating advanced prompting strategies, rigorous evaluation frameworks (RAGAS, Langfuse), and cloud infrastructure (AWS) to deliver robust, scalable, and impactful AI solutions from concept to deployment.
Languages
English
NativeGerman
ElementaryEducation
Apr 2023 - Mar 2025
IU Internationale Hochschule Berlin
Master of Science · Data Science · Berlin, Germany
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