I’m an AI/ML developer passionate about building intelligent, real-world solutions using modern technologies like LLMs, Computer Vision, and multi-agent systems. Currently pursuing B.Tech in AI & ML at L.D. College of Engineering, I’ve worked on projects ranging from deepfake detection to AI-powered data analytics platforms. I specialize in Python, TensorFlow, PyTorch, and frameworks like LangChain, LangGraph, and FastAPI. My work focuses on creating scalable AI systems, improving model performance, and integrating AI into practical applications. I’ve built projects like: AI data assistant (natural language → analytics & visualization) Multi-agent research/blog generator using LLMs Deepfake detection system with improved cross-domain accuracy GitHub repo analyzer powered by AI I’m always looking to work on challenging problems in AI, automation, and data-driven systems. If you need someone who can turn complex ideas into working AI solutions — I’m your guy.

Shaktisinh Chavda

I’m an AI/ML developer passionate about building intelligent, real-world solutions using modern technologies like LLMs, Computer Vision, and multi-agent systems. Currently pursuing B.Tech in AI & ML at L.D. College of Engineering, I’ve worked on projects ranging from deepfake detection to AI-powered data analytics platforms. I specialize in Python, TensorFlow, PyTorch, and frameworks like LangChain, LangGraph, and FastAPI. My work focuses on creating scalable AI systems, improving model performance, and integrating AI into practical applications. I’ve built projects like: AI data assistant (natural language → analytics & visualization) Multi-agent research/blog generator using LLMs Deepfake detection system with improved cross-domain accuracy GitHub repo analyzer powered by AI I’m always looking to work on challenging problems in AI, automation, and data-driven systems. If you need someone who can turn complex ideas into working AI solutions — I’m your guy.

Available to hire

I’m an AI/ML developer passionate about building intelligent, real-world solutions using modern technologies like LLMs, Computer Vision, and multi-agent systems. Currently pursuing B.Tech in AI & ML at L.D. College of Engineering, I’ve worked on projects ranging from deepfake detection to AI-powered data analytics platforms.

I specialize in Python, TensorFlow, PyTorch, and frameworks like LangChain, LangGraph, and FastAPI. My work focuses on creating scalable AI systems, improving model performance, and integrating AI into practical applications.

I’ve built projects like:

AI data assistant (natural language → analytics & visualization)
Multi-agent research/blog generator using LLMs
Deepfake detection system with improved cross-domain accuracy
GitHub repo analyzer powered by AI

I’m always looking to work on challenging problems in AI, automation, and data-driven systems. If you need someone who can turn complex ideas into working AI solutions — I’m your guy.

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Language

English
Fluent

Work Experience

AIML Intern at Unada Labs
March 12, 2026 - Present
AIML Intern at Unada Pvt Ltd
March 1, 2026 - April 1, 2026
Developed and optimized AI/ML solutions, improving model inference speed and overall processing efficiency by 20%. Collaborated with cross-functional teams to integrate AI-powered features, increasing deployment stability and reducing bug rates in production.

Education

B.Tech in Artificial Intelligence and Machine Learning at L.D. College Of Engineering
July 1, 2023 - July 1, 2027
B.Tech at L.D. College Of Engineering
July 1, 2023 - July 1, 2027
B.Tech in Artificial Intelligence and Machine Learning at L.D. College Of Engineering
July 1, 2023 - July 1, 2027

Qualifications

Python Language - Kaggle
January 11, 2030 - February 27, 2026
Python Programming Certification - Kaggle
January 11, 2030 - March 30, 2026

Industry Experience

Computers & Electronics, Software & Internet, Education, Media & Entertainment, Professional Services
    paper Reverse Repo

    Engineered a FastAPI backend to reverse-engineer public GitHub repositories, integrating Google
    Gemini AI to automatically generate comprehensive coding prompts for AI assistants.
    Implemented asynchronous le spidering and intelligent context ltering to accurately detect tech stacks,
    optimize LLM inputs, and reduce noise, complete with a deterministic fallback generator.

    paper Research Blog generator

    Built a multi-agent AI system using CrewAI to generate research reports and blog content from
    user-de ned topics. Integrated LLMs via LiteLLM and exposed the system through a Streamlit frontend
    with downloadable outputs. Designed the project with a modular, production-oriented Python
    architecture.

    paper DeepFake-Detection-Research

    Developed a research-oriented deep learning framework for manipulated media detection with strong
    cross-domain generalization. Implemented domain-adversarial training to enhance robustness and
    improve model performance across unseen distributions.

    paper VizDataAI

    VizDataAI, an AI-powered data analysis platform that enables natural language-driven data
    manipulation and visualization within an interactive spreadsheet interface. Integrated multi-agent
    systems and local LLMs to automate Pandas operations, analytics, and chart generation using FastAPI
    and Python.

    paper MathGPT

    MathGPT is an AI-powered tool designed to solve mathematical problems with step-by-step
    explanations, perform precise calculations, and retrieve knowledge from external sources. The system
    combines fast Groq-based LLMs with computational engines and Wikipedia search to deliver clear,
    accurate responses in real-time.