Payal Krushnaji Punde

Payal Krushnaji Punde

Specialist-Software Engineering
India
Marathi, English, Hindi
Full-time Hybrid

About Me

Experienced Data Scientist with a master’s in computer engineering and 7 years in software development and data analytics. Specializes in predictive modeling, machine learning, deep learning, and AI-driven solutions, lev…

Experience

Specialist- Software Engineering

LTM · Pune
May 2025 - May 2026 · 1 year

<p>Designed and developed a comprehensive RESTful API platform for MongoDB and Redis database user life cycle management and access control automation.</p><p> Built a secure, scalable micro-services architecture using Flask-RESTful with JWT-based authentication, PostgreSQL request tracking and Swagger UI documentation.</p><p> Implemented automated workflows for user provisioning, role management and audit compliance across multiple database clusters.</p><p> Automated and developed secure RESTful API using Flask RESTful framework with JWT token-based authentication and role-based access control (RBAC).</p><p> Implemented comprehensive user lifecycle management including automated user creation, role assignment/revocation, account locking/unlocking and secure password generation with full audit trail capabilities.</p><p> Built asynchronous request system with PostgreSQL-backed request queue management, enabling both sync and async execution modes with real time status polling and error handling mechanism.</p><p> Integrated MongoDB access control with dynamic role extraction, privilege management and multi-VIP (virtual IP) support for centralizing database user administration across distributed MongoDB cluster.</p><p> Integrated Redis access control with dynamic acl rules extraction, privilege management and multi-VIP (virtual IP) support for centralize database user administration across distributed Redis multinodes.</p><p> Developed request tracking and audit logging system using PostgreSQL with SQLAlchemy ORM, capturing all user actions, request metadata, execution timeline and compliance data for regulatory requirements.</p><p> Designed modular architecture with separation of concerns-dedicated modules for views, functions, request management and Swagger documentation, ensuring maintainability and scalability.</p><p> Implemented error handling and validation with custom decorators for authentication, authorization JSON validation and standardized API response formats.</p><p> Created Swagger UI integration for interactive API documentation, enabling easy testing and onboarding API for consumers.</p><p> Established CORS policies and security measures including WAF ready configuration input validation with regex patterns and SQL injection prevention through parameterized queries.</p><p> Optimize database operations with connection pooling, efficient query patterns, and support for bulk operations across multiple VIP targets with partial success handling.</p>

Data Engineer

Finnovus Technologies Private Limited · Mumbai
Jul 2021 - Apr 2025 · 3 years 9 months

<ol><li>Designed and implemented a robust OCR pipeline to extract and structured financial data from bank statement pdfs, reducing manual efforts.</li></ol><p></p><ol><li>Designed a AI Clinical Knowledge Assistant to assist users with disease related queries by extracting information from uploaded PDF medical documents.</li></ol>

Associate Data Scientist

Connexis Technology · Pune
Jan 2019 - Jun 2021 · 2 years 5 months

<p>Collected and pre-processed datasets using COCO, open images, and labelImg for annotation.</p><p> Implemented state-of-the-art object detection architectures such as YOLOv5 and faster R-CNN, leveraging pre-trained models for fine-tuning.</p><p> Trained the model using TensorFlow and OpenCV in a GPU powered Google Colab environment, optimizing hyperparameters for improved performance.</p><p> Evaluated performance using Precision, Recall, F1-score and Mean Average precision(mAP) for validation.</p><p> Designed and trained an XGBoost regression model for ETA prediction, incorporating historical travel times real-time traffic and weather conditions.</p><p> Implemented K-means clustering to categorize route into similar traffic patterns improving model performance.</p><p> Integrated Goggle maps API for real-time traffic updates and route optimization.</p><p> Reduced ETA prediction error by 25%, leading to better delivery scheduling and fuel savings.</p><p> Developed a FastAPI, deployed on AWS Lambda, handling real-time trip data.</p>

PROJECTS

1. Automated Data Extraction for Lending Platforms 2. AI Clinical Know

Finnovus Technology
Duration : 01-Jul-2021 - 30-Apr-2025

<p>Designed and implemented a robust OCR pipeline to extract and structured financial data from bank statement pdfs, reducing manual efforts.</p><p></p><p>Designed a AI Clinical Knowledge Assistant to assist users with disease related queries by extracting information from uploaded PDF medical documents.</p>

Skills

Optical Character Recognition (OCR) Python SQL PostgreSQL Redis MongoDB FastAPI Flask REST APIs JWT OAuth2 AsyncIO SQLAlchemy Git GitHub Swagger Postman LLMs LangChain LangGraph Agentic AI Vector Databases RAG Prompt Engineering Tool Calling Streaming Conversation Memory Hybrid Search Semantic Search Embeddings RAG Evaluation OpenAI AWS EC2 Lambda S3 Textract IAM API Gateway CloudWatch Docker SNS CI/CD Pandas NumPy Scikit-learn
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