About Me
I'm a passionate Software Engineer with a proven record of delivering scalable backend solutions and streamlining operations. My expertise lies in building reliable APIs and automation tools that significantly reduce manual effort and improve accuracy across systems.
I excel at leading cross-functional collaboration and thrive in Agile environments, consistently driving timely delivery while enhancing system performance. My approach combines technical excellence with strategic thinking to solve complex problems and deliver value to both teams and clients.
Technical Skills
Languages
Frameworks
Databases
Tools & Technologies
Practices
Work Experience
Software Engineer
Webkul
- Delivered high-performance REST APIs and automated third-party integrations, reducing response times by 30% and manual tasks by 45%
- Developed custom reporting tools that improved client data accuracy by 60%
Python Developer Intern
Lifease Solutions LLP
- Built FastAPI apps for high-speed data collection
- Used Celery and gevent to improve task throughput by 2.5×
- Deployed on AWS with 99.9% uptime and reduced crashes by 15%
Django Developer Intern
VakilDesk Pvt. Ltd.
- Developed APIs and dashboards using Python, Django, and Flask
- Automated pipelines with Celery/Redis/web scraping
- Delivered client-facing apps with cross-functional teams
Education
Bachelor of Technology, Computer Science
S.D. College of Engineering and Technology, AKTU
Relevant Coursework:
Data Structures & Algorithms
Featured Projects
Cricket-Insight
A full-stack cricket analytics platform featuring automated web scraping, scalable MongoDB data pipelines, and AI-driven query handling for deep match insights. Delivered live score updates and instant notifications via WebSockets, boosting real-time accuracy and user engagement. Implemented optimized, fault-tolerant background processing with Celery and Redis, ensuring smooth data ingestion even during peak traffic.
Mention-Manager
Built a real-time Brand Monitoring System that tracks conversations about a brand across social media, news sites, and forums. The app automatically scrapes mentions, analyzes sentiment using AI (VADER), detects sudden spikes in activity, and sends instant alerts for negative trends. Interactive dashboards show mention volumes, sentiment breakdowns, platform-wise distribution, and long-term trends. The system runs on a Dockerized setup with a FastAPI backend and Next.js frontend for quick deployment and smooth real-time monitoring.
Movie-Recomendation
Built a movie recommendation web app using Python. The system ingests movie metadata and user-rating data to generate personalized movie suggestions. It handles data storage, serves recommendations via a web interface, and supports features like movie poster fetching and metadata lookup. The architecture includes backend services (data processing, recommendation logic), a frontend template-driven UI, and integration for movie details and poster retrieval for better user experience.
Bulk-Flow
BulkFlow is a full-stack product management system built for handling large-scale data with ease. It supports full CRUD operations, lightning-fast bulk CSV imports with real-time progress tracking, and an interactive analytics dashboard for instant insights. The platform includes a flexible webhook engine that triggers events on product changes, plus a modern responsive UI with light/dark themes and live updates for a smooth, real-time user experience.
PyMind – AI-Powered Assistant
AI chat app using Chainlit + Gemini for real-time Python code help. Features file upload, chat history with TinyDB, and command-based UI.
pyide-egsd – Online Python IDE
Online Python IDE similar to online-python.com. CodeMirror frontend + Docker backend with I/O via subprocess for real-time code execution.
Get In Touch
I'm always open to discussing new opportunities, interesting projects, or just having a chat about technology.
Contact Information
Let's Connect
Whether you're looking for a dedicated software engineer, want to collaborate on a project, or just want to connect, I'd love to hear from you.