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AI Engineer with 3+ years in data pipelines, AI-powered applications, and recommendation systems.
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Assessing your cultural and operational fit
Results-driven Data Engineer with 3+ years of experience designing and deploying scalable data pipelines, search systems, and AI-powered applications. Proficient in Python, Apache Airflow, Elasticsearch, and cloud platforms (AWS, Azure, Databricks). Hands-on expertise in building recommendation engines, semantic search systems, LLM-based chatbots, and ETL workflows.
Meerut Institute of Engineering and Technology
Bachelor of Technology · Information Technology
August 1, 2018 – June 30, 2022
Hindustan Media Ventures Limited [HT-Labs]
Data Engineer
December 1, 2022 – May 1, 2026
India
PCAP: Programming Essentials in Python
Cisco Networking Academy
June 1, 2026 – Present
Python Basics
Coursera
June 1, 2026 – Present
MongoDB with Python
MongoDB University
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience in building diverse AI-powered applications (chatbots, recommendation systems, semantic search) and robust data pipelines indicates adaptability and a broad skill set. The focus on production-grade GenAI applications and collaboration with various teams suggests a results-oriented and team-player mindset, aligning well with dynamic tech environments. The certifications in Python and MongoDB further demonstrate a commitment to continuous learning.
Soft Skills & Operational Fit
The candidate's resume demonstrates strong operational fit through experience in coordinating with cross-functional teams, leading end-to-end platform integrations, and optimizing ranking algorithms in collaboration with product teams. The detailed descriptions of project contributions suggest a proactive and collaborative approach to problem-solving and system development.