Abhishek Anand
Software Engineer @ Expedia Group | Cloud-native microservices | Backend Engineering | Generative AI (RAG, Fine-Tuning) | Automation & Web Scraping at Scale
- Role
- Software Developer at Expedia Group
- Location
- Gurugram, HR, IN
- LinkedIn followers
- 500 followers
About Abhishek Anand
Focused software engineer with experience automating workflows, building data-intensive systems, creating GenAI-powered tools, and developing scalable, cloud-native microservices. Proven track record of delivering high-impact solutions that have saved millions through efficient backend architecture and automation. Known for being accountable, reliable, and a clear communicator who collaborates effectively across teams.Technical Skills (I’ve working experience with the following tools and tech.)Languages/Frameworks: Python, JavaScript, SQL, Scala, Streamlit, Selenium, Appium, React, Next.jsBackend & Systems: Microservices, REST APIs, Distributed SystemsCloud & DevOps: AWS (EKS, Lambda, S3, ECS, OpenSearch), GCP, Docker, Kubernetes (k8s), GitHub, Spinnaker, SplunkCI/CD & Orchestration: Argo Workflows/CD, Airflow, GitOpsDatabases: SQL, NoSQL & VectorDBAI/ML: Generative AI, RAG pipelines, Model fine-tuning, AI Agents
Experience
Software Developer
May 2023 — Present · Gurugram, IN
1st price in EG Gurgaon Innovate Award- Automated competitive tracking across web & mobile, cutting analyst effort by 80%, expanding coverage 10x, and driving ~$50M/year.> Tech Stack: Python, EKS, Argo (GitOps), S3, ElesticSearch, Selenium, Appium, REST API, Docker, IAC- Designed and deployed ETL pipelines on EMR & Airflow, enabling automated analysis of Expedia’s participation on meta platforms (Google, Kayak & Skyscanner). This work stream directly contributed in increasing BEX participation on flight booking meta platforms.> Tech Stack: Spark, DataLake, Kubernetes, Argo Workflows, Airflow, Kubernetes, Docker, Kafka- Developed a unified GenAI-powered chatbot for PMs & analysts by fine-tuning Mistral LLM with RAG (2 years of competitive data), enabling advanced search and insights across multiple sources. It also enables to pull insights on production table using natural language.> Tech Stack: Streamlit, Kubernetes, VectorDB, S3, Text2SQL, REST APIs, Docker, Spinnaker, Splunk, Datadog
Education
Dr. A.P.J. Abdul Kalam Technical University
Bachelor's of Technology
Indian Institute of Technology, Madras
Advanced Certification In Data Science and Artificial Intelligence
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