Open to opportunities

Pradnya Patare

@pradnyapatare

Message

AI/ML and Generative AI engineer turning complex data into actionable insights.

India

Message

What I'm looking for

I’m looking to be an excellent AI professional in higher-technology roles, in an environment that helps me improve my technical and analytical abilities while building impactful AI/ML and Generative AI solutions.

I’m an AI/ML Engineer with 3+ years of IT experience across Generative AI, NLP (LLM), Data Science, Data Engineering, and Computer Vision. I focus on statistical modeling, machine learning, and deep learning to extract actionable insights for both technical and non-technical audiences.

In my recent roles at Persistent Systems (Ioweb3 Technologies), I’ve worked on GenAI, LLMs, and prompt engineering while building end-to-end ML/LLM workflows. I designed an LLM-powered intelligent agent for duplicate insurance-claim detection, automated extraction from unstructured documents into standardized JSON outputs, and implemented confidence-scoring and decision logic for downstream review.

At Ioweb3 Technologies, I developed and optimized GenAI and ML/DL models for real-world applications using platforms like GCP, AWS, Katonic, Django, Docker, and Kubernetes. I also delivered recommendation systems and audio/video-based generative AI models, combining EDA with predictive and advanced analytics to support informed decision-making.

I’ve also contributed as an Associate Data Scientist at JetSynthesys Pvt Ltd. (Wakau Interactive Pvt Ltd.) and as a Data Scientist Intern at Extensile Pvt Ltd., strengthening my full pipeline skills—data collection, preprocessing, training, fine-tuning, testing, deployment, and monitoring. My projects include a RAG-based PDF Q&A chatbot and a Sign Language to Hindi solution with 90% accuracy—driving accessibility through applied AI.

Experience

Work history, roles, and key accomplishments

Current

AI / Machine Learning Engineer

Current

Persistent Systems (Ioweb3 Technologies)

Jul 2025 - Present (10 months)

Designed and developed an LLM-powered agent to identify duplicate insurance claim scenarios in the healthcare domain, and automated extraction of standardized JSON from PDFs and scanned documents. Built a duplicate-claim detection framework using embeddings and metadata matching, and deployed/scaled ML/LLM workflows with CI/CD on Docker and Kubernetes.

Generative AI LLM NLP Prompt Engineering Azure Docker Kubernetes

Data Scientist

Ioweb3 Technologies

Jan 2024 - Jul 2025 (1 year 6 months)

Implemented and deployed generative AI, machine learning, and deep learning models for real-world applications across GCP/AWS and containerized environments. Developed and optimized recommendation systems and audio/video generative AI models, and built end-to-end ML workflows with CI/CD for training, deployment, monitoring, and continuous updates.

Generative AI Machine Learning Deep Learning TensorFlow PyTorch Computer Vision NLP CI CD MLOps

Associate Data Scientist

JetSynthesys Pvt Ltd. (Wakau Interactive Pvt Ltd)

Jul 2022 - Dec 2023 (1 year 5 months)

Implemented and deployed machine learning, deep learning, and generative AI models for recommendation systems and audio/video use cases, supported by exploratory data analysis to extract actionable patterns. Built end-to-end ML workflows (data collection, preprocessing, training, fine-tuning, testing, deployment, monitoring) with CI/CD to support scalable production updates.

Machine Learning Deep Learning Generative AI NLP Computer Vision Recommendation Systems TensorFlow PyTorch Docker Kubernetes

Data Scientist Intern

Extensile Pvt Ltd.

Mar 2021 - Sep 2021 (6 months)

Collected, cleaned, and preprocessed data for model training, and built machine learning and deep learning models with experiments to evaluate performance. Enhanced model results through feature engineering and documented the full data science pipeline including evaluation metrics.

Data Collection data preprocessing Machine Learning Deep Learning Computer Vision TensorFlow Keras Experimentation