Dinesh Kumar Mandal - Software Engineer 2 - Microsoft R&D | Himalayas
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Dinesh Kumar Mandal

@dineshkumarmandal

Senior Backend Engineer specializing in distributed systems and AI-driven automation.

India

What I'm looking for

I am looking for a role that challenges me technically and allows for growth in a collaborative environment.

• Senior Engineer (Backend) with 10+ years of experience designing large-scale distributed data systems (Ad-Tech Domain), low-latency APIs, and scalable backend services across cloud-native AdTech platforms.

• Led large-scale data pipelines (10B+ rows/day), AI-based RAG agents, and diagnostics tools—cutting incident resolution time by 60% and boosting client satisfaction.

• Strong cross-functional collaborator and technical mentor with experience defining roadmaps, ensuring system reliability, and aligning technical execution with business outcomes.

• Built consumer-facing systems at scale; led cross-functional delivery, aligned with product goals, and mentored engineers to improve quality and reliability.

Experience

Work history, roles, and key accomplishments

MR
Current

Software Engineer 2

Microsoft R&D

May 2020 - Present (5 years 1 month)

Built AI-driven agents using LangGraph to automate incident resolution and optimize campaign performance on Microsoft’s Demand Side Platform. Enhanced Bid Analyzer, a client-facing ad-delivery troubleshooting system, by integrating Generative AI-driven pipeline (RAG) and proactive alerting.

XA

Software Engineer

Xandr

Jun 2021 - Present (4 years)

Identified, developed, and introduced engineering solutions to improve advertiser visibility, campaign performance, and platform profitability in Xandr’s Demand Side Platform (DSP). Led development of Bid Analyzer, a self-serve diagnostics tool visualizing auction paths using bidder logs (~10B rows/day).

AT

Software Engineer

AT&T

May 2020 - Present (5 years 1 month)

Designed and maintained scalable data pipelines to process high-volume ad impressions and transform bidder logs into actionable business intelligence, powering campaign reporting and analytics. Developed engineering solutions to improve accuracy and reduce latency across core advertising metrics such as CPC, enhancing real-time visibility and optimization.

CE

Associate Consultant

Capgemini Engineering

Sep 2014 - Present (10 years 9 months)

Designed and implemented a scalable data warehouse at Capgemini for Unilever, enabling real-time business intelligence across product, marketing, and supply chain domains. This involved creating robust data solutions to support diverse business functions.

Education

Degrees, certifications, and relevant coursework

Vellore Institute of Technology (VIT University) logoVU

Vellore Institute of Technology (VIT University)

Master of Computer Applications, Computer Applications

Completed a Master of Computer Applications degree. Focused on advanced topics in computer science and software development.

Tech stack

Software and tools used professionally

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