Taresh Holkar

Versatile Software Engineer with 6+ years of experience in developing scalable full-stack and backend systems across domains such as Storage, Banking, Healthcare, E-commerce, and FinTech. Proficient in backend technologies (NodeJS, NestJS, Django, FastAPI), and cloud-native development using AWS. Skilled in integrating machine learning workflows using Python, TensorFlow, PyTorch, and MLFlow, with a focus on model monitoring, versioning, and performance optimization. Experienced in microservice architecture, RESTful APIs, CI/CD pipelines, and observability tooling such as Prometheus and Grafana. Strong background in stakeholder collaboration, Agile delivery, and delivering production-grade API and ML services.

Retail Analytics Dashboard – Retail & E-Commerce   

Duration: June 2024 - PRESENT

• Developed a data-driven analytics dashboard for retail stores using Python, Pandas, and Plotly, enabling real-time insights into sales and inventory.
• Integrated data from multiple sources, including POS systems, inventory management, and sales data using Python ETL scripts for seamless data transformation.
• Created visually appealing charts and graphs in the dashboard to track KPIs such as sales trends, customer demographics, and stock levels.
• Built secure user authentication and authorization using JWT tokens and role-based access control (RBAC) to manage different types of users (admins, analysts, etc.).
• Deployed the application on AWS EC2 instances with auto-scaling capabilities, using RDS for relational data storage and S3 for media storage.
• Configured monitoring and alerting using AWS CloudWatch and Prometheus to ensure system uptime and proactive issue resolution.
• Documented the project’s APIs using OpenAPI, streamlining integration with third-party tools and partners.

Loan Approval System – Banking & Finance

Duration: JULY 2023 - JUNE 2024

• Built a backend system to automate loan approval processes, integrating Python-based microservices with machine learning models for credit scoring.
• Developed REST APIs for application submission, credit evaluation, document upload, and status tracking, ensuring secure access with JWT-based authentication.
• Designed and deployed fraud detection models using TensorFlow and integrated them into the loan evaluation process to assess risk factors.
• Optimized PostgreSQL queries for transaction processing and integrated Redis to speed up common loan lookup operations.
• Used AWS Lambda and S3 for secure document storage, ensuring compliance with financial regulations and privacy standards.
• Implemented real-time monitoring using AWS CloudWatch and Prometheus to track application throughput, approval times, and fraud detection accuracy.
• Set up CI/CD pipelines with Jenkins and GitHub Actions for automated testing, deployment, and rollback in case of failures.

AI-Powered Recommendation System – E-Commerce Domain

Duration: NOV 2021 - JULY 2023

• Developed a collaborative filtering recommendation engine using Python and scikit-learn to provide personalized product suggestions based on user behavior and preferences.
• Utilized matrix factorization techniques (SVD, ALS) and deep learning-based models to enhance the accuracy and relevance of product recommendations.
• Built a real-time API using FastAPI to serve recommendations and integrated it with the front-end system for seamless user interaction.
• Implemented A/B testing to evaluate and optimize recommendation accuracy and user engagement.
• Deployed the solution in AWS using EC2 instances, RDS for transactional data storage, and S3 for storing user activity logs.
• Integrated Redis caching for fast access to frequently requested recommendations during peak load times.
• Applied TensorFlow and PyTorch for deep learning models to better understand complex user preferences and improve prediction accuracy.

Healthcare Billing System – Medical Finance

Duration: DEC 2018 - NOV 2021

• Developed a healthcare billing system to automate the generation of medical bills based on patient treatments, medications, and services received.
• Built a user-friendly interface using Django, where healthcare providers can input treatment codes and apply insurance payments, copays, and patient deductions.
• Integrated the system with a third-party insurance verification API to automate insurance claim submissions and status tracking.
• Designed reports for generating detailed billing summaries, patient payment histories, and insurance claims.
• Implemented secure login with multi-factor authentication (MFA) to ensure confidentiality of financial data.
• Used PostgreSQL for transaction management, ensuring accurate and efficient billing data storage.
• Enabled integration with hospital management systems (HMS) to retrieve service data and automate charge entries.

• Registered Scrum Master June 2023 Credential ID RPM-0557960
• Registered Product Owner June 2023 Credential ID RPO-9435403

English, Hindi, Marathi

SRM Hackathon October 2017 Build a Digital Supply Chain platform for small and medium scale businesses