Sara Poustina
@sarapoustina
I build real-time computer vision, OCR, and RAG systems for edge and backend deployment.
What I'm looking for
At TFRENZY Private Limited, I build real-time computer vision applications for PPE compliance, ANPR, and intelligent surveillance using YOLOv8, PyTorch, and OpenCV. I’ve optimized models with ONNX for efficient edge inference on NVIDIA Jetson Orin.
I built a RAG pipeline over a 4,300+ page medical corpus using PDF parsing, semantic chunking, FAISS, and LLM integration for contextual Q&A. I also collected and labelled a handwriting dataset, fine-tuned TrOCR, and developed an OCR-based visiting card digitization platform.
I work across AI delivery, from model training and video pipelines to Node.js REST APIs, MongoDB integration, and local speech transcription with whisper.cpp.
Experience
Work history, roles, and key accomplishments
AI/ML Intern
TFRENZY PRIVATE LIMITED
Sep 2025 - Jun 2026 (9 months)
Built a RAG pipeline for a 4,300+ page medical corpus, fine-tuned TrOCR for handwriting recognition, and developed an OCR-based visiting card digitization platform. Designed and maintained RESTful APIs using Node.js and MongoDB.
Education
Degrees, certifications, and relevant coursework
SNS College of Technology
Bachelor of Technology, Artificial Intelligence and Machine Learning
2022 - 2026
Grade: 8.1/10
Pursuing a B.Tech in Artificial Intelligence and Machine Learning, achieving a CGPA of 8.1 out of 10.
Ruby Matriculation HR Sec School
Higher Secondary Certificate, General Studies
2021 - 2022
Grade: 86%
Completed HSC (Class XII) with 86%.
Ruby Matriculation HR Sec School
Secondary School Leaving Certificate, General Studies
2019 - 2020
Grade: 93%
Completed SSLC (Class X) with 93%.
Availability
Location
Authorized to work in
Portfolio
github.com/SarapoustinaJob categories
Skills
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