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HRITIK C. — Mid-Level Backend Engineer from India

HRITIK C.

Mid-Level Backend Engineer

India 2-3 years
Open to offersNew to Platform
Languages
EnglishHindi
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About

Hritik C. is a seasoned Backend & AI-Augmented Engineer with over three years of experience specializing in building distributed systems, scalable REST APIs, and production-grade data pipelines on AWS. Leveraging expertise in CI/CD automation and observability instrumentation, he excels in delivering fault-tolerant, high-availability services. His hands-on experience integrating AI-powered tools such as Claude Code and GitHub Copilot enhances every stage of the engineering lifecycle. As an AI Data Development Lead at MEA, he architected automated SQL-based pipelines, reducing compliance anomalies by 18%, and collaborated with QA teams to resolve critical backend bugs. Previously, as a Data Science Intern, he built ML regression models with high accuracy and developed Power BI dashboards. Hritik's project work includes engineering scalable platforms with FastAPI and Docker, resulting in significant performance improvements like 25% lower request latency and reduced query times. He holds a Bachelor of Engineering from Jiwaji University and a TensorFlow Developer Certificate.

Experience

  • AI Data Development Lead

    MEA · 2021 — 2024
    Architected and operated automated SQL-based data pipelines for processing over 10,000 weekly image submissions while addressing compliance anomalies. Streamlined agile engineering workflows and sprint planning, resulting in enhanced team delivery efficiency. Collaborated with QA engineering to identify and resolve critical backend issues prior to release, maintaining stable product launches. Created internal analytics tools and SQL performance dashboards to support data-driven decision-making across various departments. Facilitated technical onboarding and engineering engagement projects, leading to increased team productivity.

  • Data Science & Business Analytics Intern

    The Sparks Foundation · 2020 — 2020
    Developed ML regression models utilizing Scikit-Learn, Pandas, and TensorFlow, achieving over 85% accuracy. Implemented prompt engineering with LLM tools to enhance exploratory data analysis and constructed Power BI dashboards for non-technical audience engagement.

Skills & Expertise

AI and Data ScienceWeb DeveloperAI EngineerPython DeveloperData AnalystBackend DeveloperComputer Vision EngineerData Engineer

Education

  • Bachelor of Engineering
    Institute of Engineering, Jiwaji University · 2017 — 2021