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E-Commerce-PlateForm_fastapi
March 31, 2026 – Present
E-Commerce-PlateForm_fastapi — GitHub repository
View Projectbubbaloop-gpu-bev
March 16, 2026 – Present
GSoC 2026: Real-time GPU-accelerated Bird's-Eye View (BEV) camera pipeline built on Bubbaloop and kornia-rs
View Projectkornia-vlm-backend
February 22, 2026 – Present
High-performance, zero-copy Rust inference backend for Vision-Language Models (VLMs). Designed for edge deployment utilizing ONNX Runtime and hardware-accelerated execution providers.
View ProjectUniversal-Chat
January 25, 2026 – Present
A high-performance real-time chat application using a hybrid architecture. Features a Django Rest Framework backend for Auth/Admin, a Go (Golang) server for high-concurrency WebSockets, and a Next.js (TypeScript) frontend. Data is synced via a shared PostgreSQL database.
View ProjectComplete_Harry_Potter_txt_file
September 9, 2025 – September 9, 2025
The complete text of the Harry Potter saga (Books 1-7) in one file. A dataset for NLP, text analysis, and data exploration. Note: This material is copyrighted and is provided for educational and non-commercial use.
View ProjectCreated_Neural_Networks_From_Scratch
September 8, 2025 – October 5, 2025
Created_Neural_Networks_From_Scratch demonstrates building neural networks step by step without using high-level libraries. It covers core concepts like forward propagation, backpropagation, and training, providing a foundational understanding of deep learning mechanics.
View ProjectCreated_LLMs_from_Scratch
August 29, 2025 – August 29, 2025
This project implements a GPT model from scratch using PyTorch, covering tokenization, attention mechanisms, transformer blocks, and text generation. It demonstrates pretraining, finetuning for classification, and instruction finetuning, including data handling and evaluation techniques.
View ProjectHR_Interview_tool_using_streamlit
August 11, 2025 – September 23, 2025
An AI-powered interview coach built with Streamlit and the Groq API for blazing-fast responses. Practice for behavioral interviews by customizing your role, experience level, and question difficulty. Get instant, detailed feedback on your performance to sharpen your skills and land your dream job.
View ProjectAI-Powered-Recommendation-Engine
May 17, 2025 – May 17, 2025
The AI-Powered Recommendation Engine is a backend project that demonstrates how to build a movie recommendation system using Django, Django REST Framework, and machine learning. The system leverages collaborative filtering techniques to analyze user ratings and movie data, providing personalized recommendations for users.
View ProjectCultural Fit Analysis
The candidate's project portfolio is diverse, covering AI/ML, web development, and system programming. This breadth suggests adaptability and a willingness to explore different technical domains. However, the projects are predominantly personal and lack explicit team collaboration or open-source contributions, which are often indicators of cultural fit in a collaborative environment. The target role is 'Data Scientist', and while many projects align, the significant focus on general software development (e.g., Universal-Chat, Golang_tutorial) might indicate a broader interest than a pure data science role. The lack of professional experience or education makes it difficult to assess alignment with a specific company culture.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-directed learning approach. The 'HR_Interview_tool_using_streamlit' project suggests an interest in practical application and problem-solving. However, without psychometric test results or interview data, a comprehensive assessment of soft skills, stress handling, and team collaboration is not possible.