Software Engineer focused on backend systems, automation, and applied AI. Experienced with Python, Django, Docker, LLM APIs, and cloud deployment.
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Server_Pypilot
April 22, 2026 – Present
This repo contains the files for the server side requests handler
View ProjectTasker
March 21, 2026 – Present
Manage tasks without the chaos. A full-stack app with auth, CRUD, timer challenges, and gamified statistics.
View ProjectPysistant
November 29, 2025 – Present
A Mini-AI Assistant but in a python package for now (few optimizations left)
View ProjectDSAFlowBot
November 3, 2025 – Present
DSAFlowBot is a smart assistant that streamlines DSA practice with topic-wise question flows.
View ProjectTelegram_Onion_Extractor
May 16, 2025 – May 16, 2025
A Python tool that extracts .onion links from public Telegram channels using the Telegram API and saves them in structured JSON format. Built with Telethon, async support, and includes deduplication + rate-limit handling.
View ProjectKidneyTumorCNN
March 1, 2025 – Present
CPU-only CNN that predicts whether a kidney X-ray/CT image has a tumor or not. Simple, lightweight, beginner-friendly deep learning project using TensorFlow/Keras. No GPU needed. Perfect for medical image classification learning.
View ProjectCultural Fit Analysis
The candidate primarily showcases personal projects, indicating a strong drive for self-learning and exploration across various domains (AI, web development, data extraction, medical imaging). This diversity suggests adaptability and a curious mindset. However, the lack of team-based projects or professional experience makes it challenging to fully assess cultural fit in a collaborative work environment. The projects align with a problem-solving and efficiency-driven mindset, which could be beneficial for an automation role.
Soft Skills & Operational Fit
The candidate's project descriptions are brief, making it difficult to assess soft skills such as collaboration, communication, or leadership. The focus on personal projects suggests self-motivation and initiative. Operational fit for an 'Automation' role is partially supported by projects involving data extraction and server-side request handling, but direct experience with enterprise-level automation tools or frameworks is not evident.