Dipankar Ghosh

About Dipankar Ghosh

I’m a Data & AI Engineer with 14+ years of experience building scalable backend systems, full stack platforms, and data-driven automation solutions, including 10+ years in the AdTech domain. My career spans full stack engineering, distributed backend systems, data pipeline orchestration, and applied AI integration. I focus on designing reliable, scalable systems that improve operational efficiency and deliver measurable business impact. Currently part of InMobi’s Accelerate team, I contribute to AI-first campaign automation initiatives by integrating LLM APIs (OpenAI, Anthropic/Claude) into production workflows. My work includes: • Building chat-based AI features using API-driven LLM integration • Implementing prompt-based automation for campaign content and reporting use cases • Contributing to agentic workflows and basic multi-step orchestration • Developing Airflow DAGs for automated data processing and monitoring • Building analytics and reporting pipelines using Databricks and BigQuery I’ve also led engineering teams (3–4 members), guided architectural discussions, and delivered advertiser-facing DSP platforms that reduced debugging effort by 50% and improved development efficiency by 70% through structured AI-assisted workflows. Technically, I work across: • Data Engineering – Airflow, Databricks, BigQuery • Backend Systems – Python, Scala, Java, Node.js • Frontend – React.js • Cloud – Azure, GCP, Kubernetes I consider myself tech-agnostic and problem-driven, comfortable moving between data, backend, AI integration, and full stack systems depending on the business need. Currently exploring opportunities in Data + AI Engineering and Full Stack roles where I can build scalable systems, contribute to AI-enabled platforms, and create meaningful impact.

Experience

1. Sde Iii

   InMobi Advertising

   Jun 2025 — Present · IN

   Working on AI-first campaign automation and optimization platform within InMobi’s Accelerate initiative.Contributing to the design and development of Agentic AI-enabled workflows that support omnichannel campaign creation and performance optimization across platforms such as Google, Meta, and Bing.Key Responsibilities:• Integrating OpenAI and Anthropic (Claude) APIs into backend systems for chat-based campaign assistance and content generation• Building prompt-driven automation workflows for campaign insights and reporting use cases• Contributing to basic multi-step orchestration within agentic systems• Developing and maintaining Apache Airflow DAGs for campaign data processing and monitoring• Building scalable reporting pipelines using BigQuery and Databricks• Leading a team of 3 engineers, guiding implementation and ensuring scalable system design• Leveraging AI-assisted development tools (Cursor, Claude-based workflows) to accelerate delivery and improve code qualityImpact:• Improved development cycle efficiency by ~70% using AI-assisted engineering workflows• Reduced implementation errors by ~60% through structured LLM usage and validation approaches• Increased productivity by ~50%, enabling focus on higher-value system design and complex problem solving• Contributed to faster GTM readiness of AI-enabled campaign features

Education

• Govt. (Auto) College Rourkela

  Bachelor's Degree, Computer Science

  2004 — 2007

• Deepika EM School

  12th, Science

  2002 — 2004

• Regional College of management,bhubaneswar

  Master of Computer Applications (MCA), Computer Science

  2007 — 2010

Skills

• Angular Js
• C++
• Ajax
• Eclipse
• Angularjs
• Jquery
• C
• Core Java
• Html
• Angular 4
• Java
• Xml
• Javascript
• Jquery Mobile
• Mongodb
• Team Management
• Html5
• Node.js
• Express.js
• Mysql
• Phonegap
• Heroku
• Sql
• Linux
• Sap Abap
• Css
• Web Services
• Php
• Cascading Style Sheets (Css)