Umang Rastogi

DevOps Engineer

Gurgaon, Haryana, India9 yrs 2 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Led AI-driven solutions enhancing platform integrity.
Expert in Django with extensive experience in application development.
Spearheaded modernization initiatives achieving significant cost savings.

Stackforce AI infers this person is a SaaS expert with a strong focus on AI solutions and application development.

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Skills

Core Skills

DjangoAi SolutionsMachine LearningDetailed DesignApplication DevelopmentMagento

Other Skills

Apache KafkaCoding StandardsComputer ScienceDataOpsDevOpsPHPNode.jsReact.jsLaravelREST APIsPrestaShopWordPressSoftware EngineeringWeb DevelopmentjQuery

About

With a Master's degree in Computer Applications from Banaras Hindu University, my journey at Droom began as a Software Engineer, evolving into the role of Technical Lead Engineer. Specializing in Django and detailed design, I've crafted robust solutions that enhance our technical landscape. The foundation of my expertise lies in computer science principles, enriched by workshops in cloud computing and big data analytics. Our team's collaborative efforts in these areas have advanced Droom's service offerings, consistently achieving streamlined, efficient processes.

Experience

Droom

4 roles

Technical Lead Engineer

Apr 2023 – Aug 2025 · 2 yrs 4 mos

Detailed DesignDjangoApache KafkaApplication DevelopmentCoding StandardsComputer Science

Lead Engineer at droom

Promoted

Aug 2022 – Present · 3 yrs 7 mos

Led end-to-end design and implementation of Agentic AI solutions leveraging A2A, MCP, LangChain, and LangGraph for complex automation workflows.
Delivered AI-driven content moderation, fraud/scam detection, and clickstream log mapping to enhance buyer-seller trust and platform integrity.
Fine-tuned Gemma 9B LLM for predictive tasks including vehicle repair cost estimation, future maintenance prediction, and scam inquiry detection, achieving low-latency inference.
Deployed and optimized AI pipelines using Vertex AI, Kubeflow, MLflow, and Evidently, resulting in faster model deployment cycles and improved monitoring.
Architected DeltaLake and DataOps solutions to improve data reliability, enhance user experience, and reduce database costs.
Designed multilingual API and database architecture to scale platform reach across diverse regions, driving higher traffic and engagement.
Spearheaded modernization initiatives including microservices, API-first, headless, and cloud-native architectures, achieving 50% reduction in latency and substantial cost savings.
Directed DevOps and AIOps strategies, modernizing observability, logging, and monitoring pipelines via Kubernetes, enhancing reliability and operational efficiency.