RK

Rahul Kapoor

Full-stack Developer · AI-powered Applications & Backend Systems

Delhi, India

@rahul_kapoor

0 followers

🎓 B.Tech in Computer Science (AI & ML) at KCC Institute of Technology and Management · Graduating 2027

About

Full-stack developer with hands-on experience building AI-powered applications, backend systems, and serverless architectures using Next.js, React.js, Node.js, TypeScript, Python, and AWS. Experienced in REST APIs, multi-tenant authorization, cloud infrastructure, LLM integrations, and production-focused backend engineering.

Experience

  • Software Engineer Intern
    AventIQ · Delhi
    Jul 2026 – Present

    Refactored a monolithic CRM controller into domain-focused AWS Lambda modules; reworked AWS API Gateway–Lambda integration; implemented multi-tenant RBAC across APIs and pages; built AI lead discovery and outreach workflows using OpenAI APIs, S3 ingestion, scheduling, SMTP delivery, tracking, webhooks, and reply processing.

  • Generative AI Intern
    Sopra Steria India
    Jun 2026 – Sep 2026

    Developed an AI-powered synthetic user research platform using LLM-driven workflows; built full-stack features with Next.js, Node.js, Prisma, PostgreSQL, and Tailwind CSS; implemented persona simulation pipelines using Groq (Llama 3).

Education

Skills

2 to 5 years 2 to 5 years Several years of experience.
6 to 12 months 6 to 12 months Most of a year behind them.
3 to 6 months 3 to 6 months A few months of practice with it.
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.

Tools / apps / platforms

3 to 6 months 3 to 6 months A few months of practice with it.
S3 Groq PostgreSQL
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git Docker Gemini GitHub Lambda Vercel MongoDB GitHub Actions Amazon Web Services AWS

Projects

  • CI Healer – AI-assisted CI/CD Debugging Agent
    Python, Docker, GitHub API, LLMs

    Built an AI-assisted CI/CD debugging agent that analyzes failed GitHub Actions workflows and produces contextual remediation suggestions. Automated repository cloning, CI log parsing, failure analysis, root-cause detection, and patch generation through modular debugging workflows. Integrated GitHub APIs to automate branch creation, commits, and pull request creation for proposed fixes.

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