Hi there πŸ‘‹, I'm
Ankit Mandusia

AI & LLM Engineer

I build intelligent systems and leverage large language models to solve complex, real-world problems.

Ankit Mandusia Profile Picture

About Me

Hello! I'm a passionate and results-driven engineer with a strong foundation in problem-solving and software development. My expertise lies in building efficient, scalable, and user-friendly applications. I'm currently seeking a challenging role where I can contribute to meaningful projects and continue to grow my skills.

Core Skills

Python PyTorch LangChain Hugging Face FastAPI React Docker Pinecone Qdrant MongoDB R Azure GCP AWS

Work Experience

Robotics automation setup for battery testing

Project Associate I

Malaviya National Institute of Technology | Jaipur, Rajasthan (Oct 2024 - Present)

  • Designed and implemented data-driven workflows for automated battery testing, integrating real-time sensor data using Arduino and Raspberry Pi.
  • Applied machine learning techniques for analyzing battery performance datasets, identifying patterns, and improving predictive modeling of cell behavior.
  • Developed ETL pipelines to process experimental data from robotic test benches (DOBOT CR3, MG400), ensuring clean, structured datasets for analytics.
View Demonstration

My Projects

Q-OptiFolio

An advanced, autonomous cryptocurrency portfolio optimization engine powered by Agentic AI and Quantum Computing.

Qiskit CrewAI Groq OpenAI GPTNext.js (React)

Kepler Financial Analyst

An advanced multi-agent AI system for interactive analysis and visualization of SEC filings.

LangChain Hugging Face QdrantRAGAS

Spe Knowledge Assistant

An intelligent RAG pipeline that understands and answers questions about your documents and images.

FastAPI LangChain Pinecone Meta-Llama 13b

Automated Fact-Checker

A robust GenAI pipeline that verifies claims against real-time information and analyzes source credibility.

FAISSSpeechRecognitionTavily API Gemini API

Automatidata Project

A multi-faceted data science project on NYC Taxi data to drive revenue insights through EDA, machine learning, and statistical analysis.

Machine Learning A/B Testing Regression Classification

Publications

Journal Articles

A.K. Mandusia and C.V. Lakshmi, β€œBrain tumor segmentation using deep learning-based mri analysis,” International Journal of Engineering Research Technology (IJERT), vol. 13, Issue 08, 2024.

Achievements & Certifications

Get In Touch

I'm currently open to new opportunities. Have a question or want to work together? Feel free to reach out!