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Ajit Bhalerao

@ajitbhalerao

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Backend engineer specializing in scalable microservices, real-time pipelines, and applied ML for fintech growth.

India

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What I'm looking for

I’m looking to build scalable backend systems with real-time pipelines and applied ML—owning end-to-end design, shipping reliable services, and collaborating with teams to drive measurable business impact.

I’m a Backend Engineer with 5 years of experience building high-throughput systems in fintech, edtech, and logistics. I specialize in scalable microservices and real-time data pipelines, and I apply ML for business optimization.

At Cuemath, I designed and built an affiliate tracking system serving 1M+ affiliates with real-time commission tracking and payout management. I also delivered an ML-driven churn solution and an ML-based Facebook Ads budget optimizer, and before that I architected a real-time Fleet Monitoring System processing 23 million GPS events daily and a guaranteed-delivery Data-Push service for 10M+ daily messages. I’ve owned end-to-end system design across Python and Java stacks and led teams to ship backend features on time.

Experience

Work history, roles, and key accomplishments

Current

SDE 2 L3

Current

Cuemath

Apr 2025 - Present (1 year 4 months)

Designed and built Cuemath’s affiliate tracking system end-to-end with real-time commission tracking and payout management. Built ML models to predict and mitigate student churn and developed an ML-driven Facebook Ads budget optimizer to reduce costs.

Python Flask PostgreSQL Redis Machine Learning XGBoost

SDE 2

Moeving

Jan 2023 - Apr 2025 (2 years 3 months)

Architected real-time fleet monitoring processing 23M GPS events daily and delivered live tracking and geofencing alerts. Led engineers across backend services and built a guaranteed-delivery data-push service for 10M+ daily messages with retry and fault tolerance.

Java Spring Boot PostgreSQL Python fastAPI AWS GCP MySQL

SDE 1

Mobikwik

Jul 2021 - Jan 2023 (1 year 6 months)

Reduced latency for high-volume consumer debit calls by 50%, enabling 30% more transactions processed. Developed a merchant payout system from scratch that processed up to 4M payouts daily with <0.1% failure rate and increased merchant signups by 10%.

Intern

ConcertAI

Jan 2021 - Jul 2021 (6 months)

Built data visualization and analytics prototypes using Elasticsearch and Kibana for clinical trial data insights. Supported large-scale delivery projects using Python and Jupyter for analytical work to improve system quality.

Elasticsearch Kibana Python Jupyter