Amit Poonia

Software Engineer

Churu, Rajasthan, India5 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Led microservices architecture transformation at Meesho.
Automated ML infrastructure reducing development time significantly.
Developed impactful seller insights platform.

Stackforce AI infers this person is a SaaS-focused Software Engineer with expertise in machine learning and automation.

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Skills

Core Skills

Software DevelopmentMicroservices ArchitectureAutomationMachine LearningAndroid Development

Other Skills

JavaPythonMicroservicesAds Campaign ManagementReal-time Performance TrackingSoftware Design PatternsData AnalysisAds Performance TrackingReconciliation MechanismsETL PipelinesModel TrainingTensorFlowC++Data StructuresStatistics

Experience

5 yrs 6 mos

Total Experience

2 yrs 9 mos

Average Tenure

3 yrs 9 mos

Current Experience

Meesho

2 roles

SDE III

Promoted

Jan 2024 – Present · 2 yrs 4 mos

Core contributor to Ads Demand Side Systems - handling seller facing ad campaigns, real time ad performance, billing and other seller monetization services like seller insights and returns assurance
1. Spearheaded the re-architecture of Ads Campaign Management Systems, breaking a legacy monolith system into 6 different micro-services, improving feature velocity by ~2x and production stability while reducing infra cost by ~ 60%
2. Built a 0→1 Seller Insights platform providing sellers with critical insights to grow their business via a subscription based model

JavaPythonMicroservicesAds Campaign ManagementReal-time Performance TrackingSoftware Development+1

SDE-II

Jul 2022 – Dec 2023 · 1 yr 5 mos

1. Re-architected ad performance tracking system, reducing infra cost by ~55% while cutting delayed metric time to seller from 1 hour to NRT.
2. Automated Ads Payout & Credits systems with robust reconciliation mechanisms having next day deductions saving $45K/month interest.
3. Revamped ads click attribution pipeline unlocking ~1% incremental ad revenue from previously unattributed click events.

JavaPythonAds Performance TrackingAutomationReconciliation MechanismsSoftware Development

Oyo

SDE-1

Sep 2020 – Jun 2022 · 1 yr 9 mos

As part of Search & Ranking team at OYO, I worked on ML Model training for ranking of hotels for various cities and later worked on automating the entire ML infra for model training including - ETL pipelines, training & tuning, testing and deployment, reducing the development efforts to 1-2 days from previously 10-12 days.
Technologies -- Java, Python, Spark, SpringBoot, ElasticSearch, Redis, MongoDb

JavaPythonMachine LearningETL PipelinesModel TrainingSoftware Development

Nagarro

Machine Learning Intern

May 2019 – Jul 2019 · 2 mos · Gurgaon, India

Worked on problems like object detection and optical character recognition. Also developed ML based android applications using tensorflow lite.
Technologies -- Java, Android, Python, Tensorflow

JavaAndroid DevelopmentPythonTensorFlowMachine Learning