Open to opportunities

Parshant Ladhar

@parshantladhar

Message

Driven IT professional with expertise in AI and machine learning.

India

Message

What I'm looking for

I seek a role that fosters innovation in AI, encourages collaboration, and offers opportunities for professional growth.

I am a driven IT professional with a strong foundation in Python development and advanced AI applications. My expertise lies in machine learning, computer vision, and large language models (LLMs), where I have successfully implemented innovative solutions that bridge theoretical AI concepts with practical business applications. I thrive on translating complex requirements into functional applications, particularly in the realm of Generative AI and Retrieval-Augmented Generation (RAG) architectures.

Throughout my academic journey at DAV College, I have honed my skills in advanced programming languages, algorithms, and data structures. My projects, such as the MistralRAG Smart Document Q&A Engine and the cGAN-based Handwritten Digit Generator, showcase my ability to develop sophisticated systems that enhance human-AI interaction. I am passionate about advancing the frontier of AI technologies and committed to delivering solutions that address real-world challenges.

Experience

Work history, roles, and key accomplishments

MistralRAG- Smart Document Q&A Engine

DAV College

Mar 2025 - May 2025 (2 months)

Developed a Retrieval-Augmented Generation RAG document assistant using LangChain and Mistral AI that enables users to upload multiple document types PDF, DOCX, TXT and query their content in natural language. Engineered an efficient document processing pipeline with PyPDF2 and FAISS vector database that chunks, embeds, and indexes document content for semantic retrieval with configurable paramete

Lang Chain Mistral AI PyPDF2 Faiss Streamlit Python Generative AI RAG

cGAN Based Hand Written Digit Generator with GUI (GRADIO)

DAV College

Dec 2024 - Mar 2025 (3 months)

Developed a Conditional GAN-based Handwritten Digit Generator using TensorFlow and Keras, trained on the MNIST dataset with label embedding and Mixed Precision Training on Google Colab. Integrated an interactive Gradio interface allowing users to generate specific digits 09 and visualize generator/discriminator performance in real time.

Conditional GAN TensorFlow Keras MNIST Gradio Deep Learning

Real-Time Vehicle speed Detection using YOLOv8 Integrated GUI (PyQT5)

DAV College

Mar 2024 - Jun 2024 (3 months)

Implemented real-time vehicle detection and speed calculation using the YOLOv8 model, featuring a user-friendly GUI interface. Supported both video file processing and real-time detection via webcam, providing visual output with detected vehicles, tracking lines, and calculated speeds displayed on the video.

YOLOv8 Computer Vision Python

Education

Degrees, certifications, and relevant coursework

DAV College, Jalandhar

Bachelor of Science, Information Technology

2022 - 2025

Coursework included Advanced Programming Languages, Algorithms and Data Structures, Computer Architecture, Operating Systems, Machine Learning, and Network Security. Focused on foundational IT concepts and emerging technologies.