Muskan Verma
AI Engineer
Experience
AI Engineer
Sagas IT Analytics
- Built an AI Research Assistant with RAG, LangChain, LangGraph, and OpenAI LLMs integrated with vector search; cut research time by 30%.
- Designed custom retrieval workflows with LlamaIndex, building a ReAct-style agent for dynamic chunking; improved query accuracy by 18%.
- Researched and optimized embedding strategies, reducing retrieval cost/query by 15%.
- Developed RAG evaluation frameworks using RAGAS and Langsmith with custom datasets; improved coverage by 40%.
- Fine-tuned LLMs (LLaMA 2 on Vertex AI with custom inference containers, dynamic batching, and quantization); reduced inference latency by 25%.
- Integrated AI agents in LangGraph with short-term & long-term memory (Mem0); increased task completion rate by 20%.
- Created schema-aware synthetic data generators; fine-tuned downstream models achieving +12% F1 score.
BI Engineer
Grandview Research
- Developed ARIMA and multivariate regression models to forecast market CAGR, reducing prediction error by 15% over linear baselines.
- Implemented customer segmentation via K-Means, increasing marketing effectiveness by +20%.
- Automated Facebook ads with GPT-3, boosting engagement by +35%.
- Implemented n8n automations, reducing errors/costs by 20% and boosting signups by 15%.
- Engineered automated Python ETL pipelines, reducing data preprocessing time by 50% for AI model training.
Intern: Data Analyst
Skillate
- Collaborated with the ML team to curate high-quality 'Ground Truth' datasets for NLP models, performing rigorous data annotation and quality assurance to minimize noise in training corpora.
- Delivered Dash/Plotly dashboards, improving decision speed by +30%.
Industries Experience
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Experienced in Professional Services (3 years) and Information Technology (1.5 years).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Information Technology (4 years), Business Intelligence (3.5 years), Marketing (3 years), Product Development (1 year), and Research and Development (1 year).
Summary
AI Engineer and LLM Specialist focused on building production-grade Agentic Workflows and RAG Architectures.
Expert in orchestrating multi-agent systems (LangGraph), fine-tuning, and optimizing vector search strategies.
Skilled in quantization and multimodal deployment to deliver scalable, high-performance AI solutions.
Skills
Domain Worked On
- Generative Ai
- Llm Agents
- Rag
- System Design
- Llm Fine Tuning (Lora/vertex Ai)
- Etl Pipelines
- Orchestration
- Mlops
- Ci/cd
- Classical Machine Learning
- Deep Learning
Technical
- Python
- Pytorch
- Pandas
- Numpy
- Scikit-learn
- Spacy
- Langchain
- Langgraph
- Llamaindex
- Rag
- Fastapi
- Etl
- Airflow
- N8n
- Docker
- Kubernetes
- Terraform
- Ci/cd
- Azureml
- Aws Sagemaker
- Gcp Vertex Ai
- Azure Data Lake
- Postgresql
- Chromadb
Project Management
- Jira
- Confluence
- Notion
- Figma
- Github
Languages
Education
Internationale Hochschule
M.Sc. in Data Science · Data Science · Berlin, Germany
ABESIT
Bachelor of Technology · India
Profile
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