- 👀 I’m interested in Full Stack Development, Competitive Programming, and building robust backend systems. My focus is on solving real-world problems through tech and leading impactful projects.
- 🌱 I’m currently learning Rust and continuously improving my skills in Data Structures and Algorithms (DSA). I love exploring new technologies and contributing to open-source projects.
- 💼 I have experience working with the MERN stack, building REST APIs, and integrating payment systems. My notable projects include a Travel Application named WanderLust and a Stock Trading platform named StockFusion.
- 💡 I’ve led and mentored teams in various hackathons, including the Smart India Hackathon, where we successfully developed solutions as a team of 5.
- 💞️ I’m looking to collaborate on open-source projects, backend systems, and anything that involves backend architecture, efficient coding, or optimizing algorithms.
- 📫 How to reach me: Email | LinkedIn
- 🌍 Currently, I’m in my 3rd year of Information Technology at NIT Jalandhar.
- 😄 Pronouns: He/Him
- 💻 Some of my favorite technologies: Node.js, Express, MongoDB, React, Java (especially for competitive programming), PostgreSQL, and Rust (currently learning).
- ⚡ Fun fact: I’ve solved over 500+ problems on LeetCode, and I’m passionate about backend development. I love building in public and sharing my learning process!
- Dr. B.R. Ambedkar National Institute of Technology, Jalandhar
- B.Tech, Information Technology (CGPA: 7.86)
- Suraj Govind Senior Secondary School, Agra
- XII (Percentage: 91.6%)
- Languages: Java, C++, JavaScript, Rust, Python
- Web Technologies: HTML5, CSS3, React.js, Redux, Node.js, Express.js, UI/UX Design, WebRTC
- Databases: MongoDB, MySQL, PostgreSQL
- Tools: Unix, Git, GitHub, Postman, Figma, VS Code, Command Line, Razorpay API, Swiggy API, Docker
- Full Stack Intern
- Smart IT Frame (Nov 2024–Jan 2025)
- Working on full-stack development projects, contributing to both frontend and backend tasks.
- Designed and developed models and bots for phone agents and chat agents, tailored for specific user categories.
- Trained chatbots using domain-specific datasets to enhance accuracy and user engagement.
- Collaborated with cross-functional teams to optimize data pipelines and improve conversational AI systems.
- AI Data Annotator
- Outlier (Sept 2024–Jan 2025)
- Delivered precise annotations for image labeling, text classification, and NLP tasks, achieving a 4/5 feedback rating for high accuracy and quality.
- Provided constructive feedback to improve AI model performance, ensuring accuracy and quality.
- Delivered time-sensitive tasks with high attention to detail, consistently meeting or exceeding platform expectations.