Open to opportunities

Aarushi User

@aarushiuser2

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AI/ML engineer building production-grade generative and clinical AI systems.

India

Message

What I'm looking for

I seek roles building scalable, safe generative/NLP systems in cross-functional teams, with strong MLOps practices and opportunities for impact and growth.

I am an AI/ML engineer focused on building production-grade generative and clinical AI systems that deliver measurable performance improvements and safety assurances.

I have experience designing end-to-end RAG and conversational AI solutions, building HIPAA-compliant medical AI with citation-backed responses, and optimizing OCR and inference pipelines to reduce latency by 40–50%.

My internships and projects span large-scale data engineering with PySpark/Databricks, RAG systems, OCR improvements with Azure Document Analysis and Tesseract, and deploying ML models with MLFlow, DVC, Docker and cloud services.

I build user-facing AI products such as interview-prep SaaS, medical decision-support chatbots, and research-assistant agents, and I prioritize safe, auditable models, experiment tracking, and scalable architectures.

Experience

Work history, roles, and key accomplishments

Current

On-Site AI Engineer

Current

Meril Life Sciences

Sep 2025 - Present (5 months)

Contributed to Jini AI chatbot within the Healthjini hospital suite, building a HIPAA-compliant, citation-backed medical AI for clinical decision support and EHR retrieval; reduced latency 40–50% via intent-routing, OCR optimizations, and LightRAG integration.

PyTorch Transformers RAG HIPAA EHR Integration Python Docker

AI/ML Intern

Freight Tiger

Jan 2025 - Jul 2025 (6 months)

Streamlined data collection and curated high-quality datasets; used PySpark and Databricks for large-scale analysis and built models to detect journey diversions, reducing manual Control Tower interventions and improving visibility.

Pyspark Databricks Data Engineering Python Data Curation ETL SQL

AI/ML Intern

Ernst & Young

Mar 2024 - May 2024 (2 months)

Engineered a RAG system to manage large client documents, decreasing retrieval time by 20%; built Python dashboards for client data visualization and improved OCR accuracy using Azure Document Analysis and Pytesseract.

RAG Python Dashboarding Data Visualization NLP

Education

Degrees, certifications, and relevant coursework

Babu Banarasi Das Institute of Technology and Management

Bachelor of Technology, Computer Science (AI/ML)

Grade: SGPA: 8.68

Bachelor of Technology in Computer Science (AI/ML) with coursework in Operating Systems, Data Structures and Algorithms, Data Analysis, Machine Learning, and Computer Networks; graduated with SGPA 8.68 in 2025.