Varun Dubey

Senior Software Engineer

Maharashtra, India3 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building scalable backend systems.
Proficient in GenAI and distributed systems.
Strong experience in observability and network monitoring.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in SaaS and Telecommunications.

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Skills

Core Skills

Distributed SystemsGenaiBack-end Web DevelopmentSystems DesignMachine Learning

Other Skills

AWS SageMakerAmazon Web Services (AWS)Apache KafkaArtificial Intelligence (AI)BlockchainCeleryCode ReviewComputer VisionConvolutional Neural Networks (CNN)Data AnalysisDeep LearningDevOpsDockerElastic Stack (ELK)Elasticsearch

About

A Software Engineer with 2.5 years of industry experience in building backend systems pioneering observability spanning over various technology categories. Skilled in Python, Fast API, Flask, ElasticSearch, Zabbix, Kubernetes, Docker, Git, Kafka, Spark, Big Data, REST API, Data structures and algorithms, System design, Agile, Next JS, React, Javascript, Typescript, (portfolio website: https://www.dubeyvarun.com/)

Experience

Zs

Senior Software Engineer

Nov 2024 – Present · 1 yr 4 mos · Bengaluru, Karnataka, India · Hybrid

Building GenAI products @Max.AI by ZS
Led end-to-end design and development of a distributed system processing 150K+ documents with GenAI, RAG, LangGraph, and Celery, enabling sentence-level analysis and large-scale automation
Built a GenAI-powered market analysis platform delivering actionable insights for client strategy teams
Engineered a lead generation platform powered by GenAI and websearch to provide actionable insights for targeted marketing

GenAILangGraphCeleryDistributed Systems

Jio

Software Developer

Jul 2022 – Nov 2024 · 2 yrs 4 mos · Navi Mumbai, Maharashtra, India

Led the development of a comprehensive network monitoring dashboard powered by Zabbix, utilizing SNMP v2 agents and traps to monitor key performance indicators across multiple network devices for diverse customers.
Designed and developed Python scripts to collect ARP data from various network interfaces, to create detailed project-wide network topologies.
Architected and implemented scalable Python (FastAPI) microservices for a unified observability dashboard, monitoring technologies across various categories, including databases, middleware, networks, OS, and storage.
Designed and implemented a robust activity logging module for monitoring Python microservices, using the decorator pattern and Kafka to capture and stream real-time API activity data.
Developed high-performance Python (FastAPI) microservices to monitor multiple Kubernetes clusters, calculating metrics like CPU and memory usage.
Created and executed Python based batch jobs utilizing high performance Elasticsearch queries to develop aggregated indexes for monitoring critical high-volume index metrics.
Developed Python services to extract metrics and event data from Netscaler load balancers by leveraging Netscaler ADM APIs.
Optimized API response times from 3-4 seconds (up to 30 seconds) to under 500 ms for high data volume and time series APIs.
Guided the team in writing high-performance Elasticsearch queries and managing indexes to improve read times based on business use cases.

ZabbixPythonFastAPIElasticsearchKafkaKubernetes+2

Tessact

Machine Learning Intern

Feb 2020 – May 2020 · 3 mos · Mumbai Metropolitan Region

Migrated Legacy ML Models to AWS SageMaker: Facilitated the transition of existing machine learning models to AWS SageMaker for improved inference capabilities.
Hyperparameter Tuning for Video Classification: Enhanced the performance of legacy ML models by optimizing hyperparameters, leading to better video classification outcomes.
Python, AWS Sagemaker, S3, EC2, TensorFlow

AWS SageMakerPythonTensorFlowMachine Learning