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ROPALI MUNSHIRM
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ROPALI MUNSHI

@ropalimunshi

Senior Python Engineer building low-latency FastAPI services and scalable GenAI/ML systems.

India
Message

What I'm looking for

I’m looking for a team where I can build high-performance Python backends (FastAPI), strengthen observability and CI/CD, and scale GenAI/ML systems with data pipelines that reduce latency, cost, and deployment time.

I’m a Senior Python Engineer specializing in building production-ready backend services with strong performance and reliability. At Zooplus, I designed low-latency FastAPI services (<=20ms p95 latency) and implemented observability with Prometheus + Grafana, improving production issue detection time by ~40%.

I also focus heavily on delivery velocity and developer productivity through automation. I built CI/CD pipelines with Jenkins + Kubernetes for zero-downtime deployments and led migration from pip to uv, reducing build times by ~20% across services.

Earlier, I architected a GenAI-powered LMS feature handling 10K+ daily active users and built cloud-agnostic pipelines processing 1TB+ data/day, reducing processing time by 40% via parallelization and batch optimization. I’ve driven cost and reliability wins (e.g., cutting Azure infra costs by $600/month, migrating authentication from Azure MSAL to Auth0), and I’ve delivered APIs with 95%+ test coverage—plus automation-driven ML deployment improvements from 3 hrs to 30 mins.

Experience

Work history, roles, and key accomplishments

ZL
Current

Sr. Python Engineer

Zooplus (DCV Global Recruitment Pvt Ltd)

May 2025 - Present (1 year 1 month)

Designed and built low-latency FastAPI services (p95 ≤ 20ms) for real-time user insights. Implemented Prometheus/Grafana observability (~40% faster issue detection) and Jenkins+Kubernetes CI/CD enabling zero-downtime deployments, plus migrated pip→uv to cut build times ~20%.

TL

Sr. Software Engineer

TechPrescient Pvt Ltd

Nov 2021 - May 2025 (3 years 6 months)

Architected GenAI-powered LMS feature for 10K+ daily active users and built a cloud-agnostic data pipeline processing 1TB+ per day. Reduced data processing time 40%, cut Azure infrastructure costs $600/month, shortened ML deployment from 3 hours to 30 minutes via CI/CD automation, and migrated auth from Azure MSAL to Auth0 to improve reliability and UX.

Education

Degrees, certifications, and relevant coursework

University of Mumbai logoUM

University of Mumbai

Bachelor of Science, Computer Science

BSc Computer Science degree (graduated July 2018) from the University of Mumbai.

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