PARITOSH YADAV
@paritoshyadav
Data Scientist at Manifestit.io
Nagpur, Maharashtra
Paritosh Yadav is a Data Scientist and Machine Learning Engineer with extensive experience in Deep Learning, Computer Vision, and NLP. He has successfully developed and deployed AI solutions including LLaMa-2 ticket extraction, OCR systems, and recommendation engines. Paritosh has held key roles at Manifestit.io, AppZen, and ApparelTech, and holds a Master's degree in Computer Science and Engineering.
Experience
Data Scientist
Manifestit.io (Sequoia Capital)
LLaMa-2 Ticket Extraction(Application, Resource, Configuration). LLaMa-2 Effective Communication with resource configuration. Drift Detection in configuration.
Data Scientist
AppZen
Graph Attention Networks for Invoice Extraction. Custom NER Tagging (Natural language processing). Prompt Engineering and finetune on LLMA 2. OpenAI Model with Langchain (LLM). Transformer base model Key Value Extraction from any Invoices with 95% F1-Score. Serverless AI Function Deployment Using MLflow. Multilingual Modeling for Invoice(work for different languages). Document Element Extraction (table, text, title, image, Formula,List) and Apply Custom Rules.
Sr. Machine Learning Engineer
ApparelTech Pvt. Ltd
Smart-fit recommends best fit clothes to the customer base on their front side body measurements. Body Landmark Detection for calculation of body measurements trained model with adaptive Gaussian kernel, Deployed on AWS Sagemaker as Endpoint. Endpoint integrated in step function for for final output to device. Generate synthetic data using blender script and train model in Sagemaker to mask person (semantic segmentation) and linear Regression for body measurements.
Machine Learning Engineer
Trantor Software Pvt. Ltd.
Leveraged Multiple Instance Learning architecture for Spatio-Temporal Feature extraction in semi- supervised setting from videos and image sequences to identify processes from user activity logs. Setup detection and recognition model on sagemaker for training. Designed and Deployed an OCR solution in Sagemaker that outperformed the accuracy of Google’s Vision API by 7% benchmarked on ICDAR 2013 dataset. Face Recognition model finetune in sagemaker and deploy as endpoint for autoscaling.
Machine Learning Engineer
smartData Enterprises Pvt. Ltd
Handling large dataset for classification of which customer is going to make a claim in future based on their job description.(recall 0.91). Draw Generic machine learning architecture for classification problem. Based on Patent history, extract drugs, diagnosis and scan values, which help to get a clear and quick understanding of the patent to take further action. Deep Learning model for Damage car detection for micro insurance claim process. (detection+ localization).
Education
Master of Computer
Computer Science and Engineering
M.C.M
Computer Science and Management
Direct second Year
PGDCCA
Computer Science and Management