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Pranav Patil

AI/ML Engineer · Agentic AI · Research Engineering

Pune, Maharashtra, India

@pranav

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About

AI engineer with hands-on experience building LLM, agentic, and machine-learning systems using Python. Experience spans RAG pipelines, AI infrastructure, backend APIs, model integration, and applied ML across MCP, Hugging Face, FastAPI, FAISS, PyTorch, Gemini, and Azure.

Experience

  • AI Engineer Intern
    TheGrowthVector
    May 2026 – Jun 2026

    Engineered scalable AI backends and multi-agent workflows, including a production NLP-to-SQL translation database interface using OpenAI APIs with strict schema validation. Built asynchronous task queues with PostgreSQL-backed persistence, resolved worker queue-lock failures, minimized execution latency, and managed Azure cloud infrastructure, secret configs, and GitHub Actions integration testing.

  • AI Intern
    Nikqik Tech. · Remote (Sydney)
    Jan 2026 – Mar 2026

    Designed and deployed an end-to-end RAG architecture for an enterprise meeting intelligence system. Built transcript parsing pipelines, prototyped MCP server and client plugins using the MCP SDK, and developed backend services in Python and JavaScript with MongoDB and Azure.

Education

  • Bachelor of Engineering
    JSPM’s Imperial College of Engineering & Research
    Computer Engineering · 2021 – 2025

Skills

3 to 6 months 3 to 6 months A few months of practice with it.
RAG MCP Python JavaScript
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
C SQL Bash LLMs React Faiss FastAPI PyTorch Next.js LangChain LangGraph TensorFlow TypeScript Embeddings Tailwind CSS scikit-learn Transformers Vector Search Agentic AI workflows Sentence Transformers API Integration Understanding

Tools / apps / platforms

3 to 6 months 3 to 6 months A few months of practice with it.
MongoDB Microsoft Azure
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git Linux Redis Docker Vercel RabbitMQ Supabase PostgreSQL Hugging Face GitHub Actions

Projects

  • MeshCards
    FastAPI, React, Gemini

    AI Learning & Flashcard Generation Platform. Built an AI-powered learning platform transforming documents into structured flashcards and Anki-compatible study material.

  • Zero Friction
    LangGraph, Retrieval, Memory

    LLM Context Management Infra. Built an LLM context-management layer with priority-based context allocation and integration with retrieval, memory, tools, and LangGraph workflows.

  • Inlay
    OpenAI APIs, SSE, zstd

    Middleware & Observability Layer for Coding-Agents. Built transparent middleware for coding-agent traffic with request-level observability and privacy-aware safeguards.

  • Harness-Agent
    FastAPI, MCP, Next.js, TypeScript

    AI Reliability & Simulation Harness. Designed a deterministic software-in-the-loop reliability harness for autonomous agents and built an investigation pipeline from experiment planning through regression verification.

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