
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
SWE @ JPMC | Ex-Delhivery | Kafka | ElasticSearch | AWS | Building SaaS | NITP'23 | KnightBadge @ Leetcode
Software Development Engineer at Delhivery specializing in leveraging cutting-edge technologies to drive innovative solutions. Proficient in a wide range of skills, including: Amazon AWS: Experienced in designing and deploying scalable cloud architectures, leveraging services such as EC2, S3, Lambda, and more Python & Flask, Microservices & REST APIs, Database Technologies like No-SQL databases such as DynamoDB, MongoDB, etc. Messaging Systems: Experienced with Kafka for building event-driven systems, ensuring reliable and scalable message processing. I am also coder and Problem-Solving Enthusiast. I actively participate in coding competitions on platforms like CodeChef, LeetCode, and GeeksforGeeks, continuously honing problem-solving skills. Throughout my career, I have successfully delivered high-quality software solutions, collaborating with cross-functional teams and driving impactful outcomes. Passionate about staying updated with emerging technologies and industry best practices, I am committed to continuous learning and growth.
National Institute of Technology , Patna
Bachelor of Technology - BTech, Computer Science
January 1, 2019 – January 1, 2023
JPMorganChase
Software Engineer
June 1, 2025 – Present
Mumbai, Maharashtra, India
Delhivery
Software Developer
June 1, 2023 – June 1, 2025
Gurugram, Haryana, India · Hybrid
Delhivery
Software Development Intern
January 1, 2023 – June 1, 2023
Gurugram, Haryana, India · Hybrid
Job Portal
August 1, 2021 – August 1, 2021
* Built Job portal web app for Hackathon Hacknitp3.0 to search and apply for a job. * Built using Node.js, Express.js, Mongodb, EJS, Jquery, Boostrap hosted on Heroku. * My contribuiton: Developed a frontend for signin, signup page, job list page and handled actions such as signin and signup for user and applying for a job by user and showing list of jobs available.
E-Commerce Website (Amazon Clone)
July 1, 2021 – August 1, 2021
* It is an E-Commerce website (amazon-clone) to shop online * Built using React.js, redux, react hooks, firebase email and password login validation and firebase firestore.
Login/Signup
June 1, 2021 – July 1, 2021
* Login/Signup Web App with OTP Authentication. * Built using React.js, Node.js, express.js, mongodb with firebase Phone number authentication. * Has a feature to Signup or Create an Account and then Login with your credentials.
Memories
May 1, 2021 – June 1, 2021
* Web App to store sweet memories of life. * Has a feature to post a memory along with photo and description about it and feature to delete it. * Built using React.js, express.js, Node.js and mongodb.
Joy of Computing using Python
NPTEL
June 23, 2026 – Present
Hackathon
HackSlash
June 23, 2026 – Present
Data Structures and Algorithm
GeeksforGeeks
June 23, 2026 – Present
Problem Solving
HackerRank
June 23, 2026 – Present
Full Stack Web Development
Udemy
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards web development, particularly frontend, which aligns well with a Frontend Developer role. The diversity of projects (e-commerce, job portal, authentication, memory app) indicates a broad interest in applying learned skills. However, the professional experience at Delhivery and JPMorganChase, while valuable, does not explicitly detail frontend-specific contributions, making it harder to fully assess direct cultural fit for a dedicated frontend role based solely on professional experience descriptions. The projects are all personal, which is good for skill demonstration but doesn't provide insight into collaborative work environments.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse projects, including a hackathon, suggesting adaptability and problem-solving skills. However, without specific assessment data on communication, logical reasoning, or teamwork, a detailed operational fit analysis is limited.