Available for Collaboration

Priyadarshini Chavan

AI & Machine Learning Engineer

Data Science · Computer Vision · GenAI Systems

I design and deploy machine learning systems with a focus on computer vision, generative AI, and data-driven intelligence for real-world applications.

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About

Education

Bachelor of Engineering

Artificial Intelligence & Data Science

SIES Graduate School of Technology

2021 - 2025

Core Expertise

  • End-to-end ML pipeline architecture
  • Vision-Language Models (VLM)
  • YOLO-based object detection systems
  • OCR + NLP automation pipelines
  • Model optimization & deployment
  • Production ML systems at scale

Research Focus

Specializing in production-grade computer vision systems, zero-shot object detection, and efficient model deployment strategies. Published work on assistive technology and active contributor to technical ML discourse.

Experience

CURRENT

Junior Machine Learning Engineer

Anvex AI Technologies

June 2025 - Present (8 months)

Navi Mumbai, Maharashtra

  • Architecting and deploying production-grade ML systems with focus on Vision-Language Models (VLM)
  • Performance optimization of inference pipelines achieving 3x throughput improvement
  • Building scalable data processing systems using Apache Kafka for real-time ML workflows
TensorFlow Docker Kafka VLM Production ML

AI/ML Intern

Anvex AI Technologies

November 2024 - May 2025 (7 months)

Navi Mumbai, Maharashtra

  • Developed end-to-end computer vision pipelines for object detection and segmentation tasks
  • Model training and fine-tuning on custom datasets with focus on production deployment
  • Integrated Vision-Language Models for zero-shot detection applications
PyTorch YOLO OpenCV Flask Model Training

Business Data Analyst

Technical Service & Solutions

September 2023 - April 2024 (8 months)

  • Designed and deployed conversational AI systems for automated customer interactions
  • Built analytics dashboards and data visualization pipelines for business intelligence
  • Developed data-driven solutions for process automation and decision support
Python SQL Power BI NLP Analytics

Research & Technical Writing

Publications

Comparative Analysis of Eye-Tracking Keyboards

IEEE Conference Paper

Research on assistive technology systems for enhanced human-computer interaction through eye-tracking interfaces. Comparative study of multiple keyboard designs for accessibility applications.

Read

Technical Articles

How I Reduced My Vision Model's Memory by 80% Using Quantisation

A Practical Guide to Making VLMs Run on Consumer GPUs. Exploring model optimization techniques for efficient deployment of vision-language models in resource-constrained environments.

Read on Medium

SAM 3 is Here — And It's About to Make Everything Else Obsolete

Meta's 840M Parameter Beast Just Changed the Segmentation Game Forever. Deep dive into the architecture and capabilities of the latest Segment Anything Model and its implications for production systems.

Read on Medium

Florence VLM: The Lightweight Zero-Shot Object Detection Model Ready for Production

How Microsoft's Vision-Language Model is Changing the Game for Real-World AI Deployment. Analysis of Florence VLM's architecture and practical implementation strategies for production environments.

Read on Medium

Goodbye YOLO Training, Hello OWLv2

The Problem with Traditional Object Detection. Exploring the shift from traditional supervised learning approaches to zero-shot detection paradigms with OWLv2.

Read on Medium

Skills & Technologies

AI & Machine Learning

TensorFlow
PyTorch
Large Language Models
Generative AI
LangChain

Computer Vision

OpenCV
YOLO
MediaPipe
SAM (Segment Anything)
Hugging Face
VLM

Data & Analytics

Python
SQL
Power BI
Microsoft Excel
Pandas / NumPy

Deployment & Infrastructure

Docker
AWS
Google Cloud Platform
Firebase
Apache Kafka

Frameworks & Tools

Flask
React
Git
MLOps

Contact

Open to collaboration on AI/ML research, production system development, and technical discussions.