hi theređź‘‹, I'm

Sharvil Lade

Passionate about building scalable AI-powered systems and agent workflows.

about me.

I'm an AI engineer with expertise in backend systems, LLM agent workflows, and RAG pipelines. I specialize in building scalable FastAPI services and MCP-based tool integrations that turn model outputs into real, actionable products.

experience.

  • AI Engineer Intern Bangalore, Karnataka (on-site)

    at, kukufm.com

    May 2026 - Present

    • Built a scalable MCP (Model Context Protocol) server using FastAPI and FastMCP to automate Meta Ads campaign execution and management.
    • Leveraged TRIBE v2 to analyze video content and generate audience engagement insights from brain-response predictions.
    • Developed analytics workflows to transform model outputs and ad performance data into actionable optimization insights.
    • FastAPI
    • FastMCP
    • MCP
    • Python
    • AI/ML

  • Technology Intern - Backend & AI Bangalore, Karnataka (on-site)

    at, reckonsys.com

    Feb 2026 - Apr 2026

    • Engineered scalable FastAPI microservices for AI workloads using Kafka event-driven architecture for high-throughput systems.
    • Developed stateful AI agent workflows using LangGraph with RAG pipelines, MCP-based tool integration, and Redis-backed memory for context-aware responses.
    • Improved API reliability and scalability by increasing test coverage and implementing rate limiting and throttling for high-concurrency environments.
    • FastAPI
    • Kafka
    • LangGraph
    • RAG
    • MCP
    • Redis
    • Python

  • Technical Intern Remote

    at, unstop.com

    Oct 2024 - Jan 2025

    • Engineered Python automation scripts to generate high-coverage test cases for Unstop’s POTD, generating over 1,000+ test cases and reducing manual effort by ~30%.
    • Automated validation of problem statements, I/O formats, and constraints using LLM-powered checks for technical correctness and clarity, saving 6–8 hours/week of manual review.
    • Collaborated with the team to analyze and refine DSA problems for balanced difficulty and better question quality.
    • C++
    • SQL
    • Data Structures
    • Algorithms
    • Object-Oriented Programming
    • Database Management Systems
    • Operating Systems
    • Computer Networks

projects.

    • Built a full-stack anonymous feedback platform using Next.js, MongoDB, and NextAuth.js, enabling secure feedback collection through shareable profile links.
    • Integrated Gemini API for AI-powered content moderation and message enhancement, classifying harmful feedback and improving message quality before delivery.
    • Implemented email OTP authentication, Zod validation, and a real-time moderation dashboard.
    • Next.js
    • MongoDB
    • NextAuth.js
    • Google Gemini API
    • Nodemailer
    • Zod

  • Remote Code Execution Engine

    github

    • Designed a RESTful API in Node.js that accepts user code and test cases, evaluates execution, and returns the verdict.
    • Utilized Docker for containerized execution, slashing execution time by 70% compared to traditional VM setups.
    • Integrated RabbitMQ for async messaging and Redis for caching to optimize performance, reducing response time by 40%.
    • Used MongoDB for structured test case storage and seamless data retrieval.
    • Node.js
    • Express.js
    • MongoDB
    • Redis
    • RabbitMQ
    • Docker
View all projects

technical skills.

  • Languages:

    Python, C++, JavaScript, SQL

  • Frameworks:

    FastAPI, Node.js, React.js, LangChain, LangGraph

  • AI:

    RAG, MCP, LLM APIs, Agent Workflows

  • Databases:

    PostgreSQL, MySQL, MongoDB, Redis

  • Systems & Infra:

    Docker, AWS, Git, GitHub, Postman