Aarushi Ranjan
I'm a research intern at IIT Bombay with 2 years of experience, driven by ambition and a strong sense of accountability in everything I pursue. I balance analytical thinking with genuine empathy, bringing both pragmatism and vision to my work while remaining approachable and grounded. I thrive in environments where I can take ownership, assert ideas confidently, and operate with the autonomy to make meaningful contributions.
Experience
Machine Learning Intern
IIT Bombay · May 2025 – Sep 2025
- Optimized OCR and translation pipelines using Tesseract and Fairseq, improving processing speed by 25% and translation quality by 30%.
- Streamlined multilingual document translation for PDF, DOCX, and Excel, preserving 90%+ formatting accuracy and enhancing consistency by 40%.
- Developed Sanskrit metrical (chandas) analysis using Chandojanam and Skrutable for classical verse processing.
Research Intern
IIT Bombay · May 2025 – Aug 2025
- Optimized OCR and translation pipelines by fine-tuning tools such as Tesseract (for text extraction) and Fairseq (for translation), achieving a 25% increase in processing speed and improving translation quality by 30% through custom pre- and post-processing using Python.
- Streamlined document translation pipelines (DOCX, Excel, PDF); performed data preparation and cleansing of raw data preserving 90%+ content formatting integrity and boosting output consistency by 40%.
- Implemented metrical analysis on Sanskrit verses by integrating Chandojanam and Skrutable to accurately extract poetic meters (chandas) from classical poems and shlokas.
Research And Development Analyst
Khwaab KIIT · Nov 2023 – Jul 2025
AI Engineer Intern
Persist Ventures, LA · Jan 2025 – Mar 2025
- Developed and implemented video recommendation models using FastAPI, enabling real-time predictions and seamless integration with a response time of under 250ms.
- Implemented automated data updates via webhooks, reducing manual entry by 85% and processing 10,000 data points daily; integrated Graph Neural Networks (GNNs) to boost recommendation accuracy by 20%, demonstrating strong analytical and problem solving skills.
- Containerized and deployed the system using Docker, scaling to over 1,000 requests per day.
AI Engineer
Persist Ventures · Jan 2025 – Mar 2025
- As an AI Engineer, I built and served video recommendation models using FastAPI, enabling real-time predictions.
- I implemented webhooks for seamless data updates and integrated Graph Neural Networks (GNNs) to enhance recommendation accuracy.
- Successfully deployed the system using Docker, ensuring scalability and efficient production integration.
Proof of Work
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Education
Bachelor of Technology, Computer Science and Engineering
Kalinga Institute of Industrial Technology · 2022 — 2026
Contact details
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