Mohammedanas Shakil Kazi

Mohammedanas Shakil Kazi

AI Engineer · Generative AI & RAG Systems

Ahmedabad, Gujarat, India

@themasked1

Looking for jobs

About

Impact-driven AI engineer specializing in end-to-end Generative AI pipelines and RAG systems. Experienced in building scalable, user-centered solutions such as multi-agent orchestrators and voice-enabled agents.

Experience

  • AI Engineer
    Journalyst
    Nov 2025 – Present
  • Machine Learning Engineer Intern
    Kofuku Idea Labs Pvt Ltd
    Jan 2025 – May 2025

Education

  • B. Tech in Computer Science and Engineering (Spec. in AI & ML)
    Computer Science · Aug 2021 – Nov 2025
  • B.Tech in Computer Science and Engineering (Specialization in AI & ML)
    Computer Science and Engineering (Artificial intelligence and machine learning) · Aug 2021 – Nov 2025

Skills

Tools / apps / platforms

6 to 12 months 6 to 12 months Most of a year behind them.
Git OpenAI
3 to 6 months 3 to 6 months A few months of practice with it.
n8n Docker Deepgram ElevenLabs
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
ChromaDB Google Vertex AI Amazon Web Services AWS

Languages

Native / Bilingual Native / Bilingual Their first language, or as strong as one.
Hindi Speak · Read · Write
Fluent Fluent Comfortable using it for work.
English Speak · Read · Write

Projects

  • CogniBot – Document Intelligence Chatbot
    CrewAI, ChromaDB, Streamlit

    Built multi-agent chatbot using CrewAI that routes queries across documents, web search, or hybrid mode. Implemented ChromaDB vector search supporting multi-format ingestion, containerized with Docker for deployment.

  • DocuLens – Multi-Modal RAG System
    Qdrant, LlamaParse, FastAPI, GPT-4

    Built production RAG pipeline for PDFs with text, tables, and images using LlamaParse and Qdrant vector search. Designed async FastAPI backend delivering source-cited, conversational responses with reranked retrieval.

  • CyberGuard
    Bi-LSTM, Python, NLP, Kaggle, Reddit

    Designed a browser extension to detect cyberbullying using Bi-LSTM on real-time social media content; curated a dataset from Reddit and Kaggle and trained and fine-tuned the model to improve accuracy.

  • Fact-Checking RAG System
    FAISS, LangChain, OpenAI, FastAPI

    Built a lightweight RAG pipeline that verifies claims using embedded headline vectors; used key entity extraction and efficient FAISS indexing to reduce false positives and latency.

  • VoiceBot – Personalized Agent
    OpenAI, Whisper, Streamlit, ElevenLabs

    Created a speech-enabled AI bot that mimics personal tone using ChatGPT and speech APIs; built and deployed a minimal web UI for real-time conversational testing.

  • NexusAI – Strategic Proposal Generator
    CrewAI, OpenAI, Streamlit

    Built a multi-agent AI system using CrewAI to generate comprehensive strategic proposals for enterprises; orchestrated 5 specialized agents for market research, use case generation, and feasibility analysis; developed a Streamlit web interface with DOCX export.

Courses & certifications

  • MERN Full Stack Certification · Ethnus · 2023
  • Google Cloud Computing Foundation · Google · 2023

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