• Programming Languages: Python, C/C++
• Web Development: Django, HTML, CSS
• Databases: MySQL
• Machine Learning Frameworks: TensorFlow, Scikit-learn
• Deep Learning: ANN, CNN, GAN
• Computer Vision: OpenCV
• MLOps: Docker, CI/CD, Jenkins
• Message Brokers: Kafka
• Version Control: GitHub

Company: Firellama Technologies Pvt. Ltd.
Location: Remote
Duration: June - September 2023

Link: Capstone_project

• Developed backend (MLOps and microservices) with integrated ML model that achieved 98% accuracy in complex structural recognition.
• Trained a table segmentation model on 1 million imagery data points.
• Reduced training time by more than 50% through GPU-specific programming, decreasing preprocessing time from 46 hours to 21 hours.
• Technology stack: OpenCV, TensorFlow, image segmentation, Docker, Django.

Hackathon: Cloud Security Alliance, UPES University
Date: April 28-30

Link: Med-Pro

• Developed a multimodal AI model for cancer and skin disease detection, segmentation, and classification. Won a hackathon for this project.
• Developed an interactive web app for self-diagnosis in remote locations. Led a 3-member team to secure the 2nd runner-up position among 43 teams.
• Tech stack: Django, HTML, CSS, TensorFlow, Scikit-learn, OpenCV.

Institute: Dit University Duration: MAR 2024

Link: random_poission_blended_face_generator

• Developed an Application that can assisted help its user to generate a random face from the feature either they select (from provided) or provide themselves.
• This project utilises the poison blending technique with mask to paste features like eyes nose and mouth to the face by blending the edges according to the provided image.
• Tech stack: Django, HTML, CSS, OpenCV.

Institute: IIT Dhanbad
Development Period: June - July 2023

link: Rock_Segmentation

• Developed a rock segmentation model for early landslide detection and warning system.
• its a rock segmentastion and classification model that detects edges seperate each rock then classifies into big, medium, small rocks
• Tech stack: OpenCV, TensorFlow, Image Segmentation, Python.

Institute: DIT University
Development Period: January - February 2022

link: mini_map_daa_project

• Developed to compare graph neural networks with traditional algorithms, aiding in the visualization of GNN advancements in pathfinding efficiency.
• Tech stack: Django, TensorFlow, GNN, Algorithms (Dijkstra, Knapsack, Kruskal).

Institute: Kendraya Vidyalaya
Status: Ongoing
Date of Initiation: December 2019

link: ERP-System-RK

• its under continuos development i develop this application in my mean time.
• the concept is to provide users to pay what they need basically multiple microservices with AI to help user build thier own ERP system like Lego as per thier requirements.
• Microservices with unique functionalities, individually deployed for different services.
• Tech stack: Docker, Django, MySQL, HTML, CSS, Microservices.

• Deep Learning A-Z: Neural Networks, AI & ChatGPT Bonus
• Machine Learning A-Z: AI, Python, R + ChatGPT Bonus
• Getting Started with TensorFlow 2