P

Pavan Chanda

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Telangana, India

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  • Ramp
    Senior Python Developer - AI/ML
    Ramp
    Oct 2023 - Current (2 years 11 months)
    Project Name: Ramp Intelligent Financial Automation PlatformProject Description: Designed and enhanced Ramp's next generation AI driven financial operations platform, supporting expense management, spend analytics, and automated accounting workflows. The platform leveraged Python based microservices, GenAI (LLMs), and ML pipelines to process high volume financial transactions, generate intelligent insights, and improve operational efficiency for enterprise customers.Responsibilities:Engineered scalable backend microservices using Python, FastAPI, and Django, supporting daily active users with uptime and sub API response times.Designed and maintained a microservices architecture across distributed services, integrating Python and Node.js, im
  • Sprint
    Senior Python Developer - AI/ML
    Sprint
    May 2021 - Sep 2023 (2 years 5 months)
    Project Name: Sprint Intelligent Network Analytics & Automation PlatformProject Description: Contributed to Sprint's network analytics and automation platform designed to process high volume telecom data, enable real time operational insights, and automate decision making across network operations and customer systems. The platform leveraged Python based microservices, cloud native infrastructure, and AI/ML pipelines to support network performance monitoring, anomaly detection, and operational efficiency at scale.Responsibilities:Built and scaled cloud ready backend services using Python, FastAPI, and Django, delivering high throughput telecom APIs with response times and platform reliability.Led the design of a distributed microservices la
  • Catalent Pharma Solutions
    Senior Python Developer - AI/ML
    Catalent Pharma Solutions
    Sep 2019 - Apr 2021 (1 year 8 months)
    Project Name: Catalent Intelligent Healthcare Data & Analytics PlatformProject Description: Contributed to the development of Catalent's enterprise healthcare data processing and AI analytics platform, supporting large scale clinical, claims, and operational datasets. The platform enabled near real time data ingestion, ML driven classification, fraud detection, and analytics dashboards, leveraging cloud native Python microservices and AI/ML pipelines to improve data accuracy, performance, and regulatory compliance.Responsibilities:Engineered high performance backend services using Python and FastAPI with AsyncIO, handling daily requests at latency while maintaining.Designed and implemented secure RESTful APIs integrating internal microservi
  • Wayfair
    Python Developer - Machine Learning
    Wayfair
    Feb 2017 - Aug 2019 (2 years 7 months)
    Project Name:Wayfair Retail Analytics & Recommendation PlatformProject Description: Worked on Wayfair's retail analytics and personalization platform, supporting large scale e commerce data processing and customer intelligence. The platform powered product recommendations, customer lifetime value prediction, and real time dashboards, leveraging Python backend services, ML models, and cloud native deployments to improve user engagement and business insights.Responsibilities:Developed scalable backend services using Python and Flask, applying modular Blueprint architecture, JWT based authentication, and centralized error handling to support daily API requests.Designed and delivered server rendered web interfaces using Jinja, integrating REST
  • P
    Python Developer
    Pidilite Industries
    Jul 2015 - Nov 2017 (2 years 5 months)
    Project Name: Pidilite Digital Sales & Enterprise Integration PlatformProject Description: Worked on Pidilite's enterprise digital transformation platform supporting sales analytics, distributor management, and internal business applications. The project focused on modernizing legacy systems using Python based web applications, REST APIs, and data processing pipelines, enabling seamless integrations with ERP systems and improving business visibility across regions.Responsibilities:Developed and maintained enterprise web applications using Python and Django, implementing class based views, custom middleware, and ORM optimizations to support active.Designed and implemented RESTful APIs using Django REST Framework (DRF) with token based authen