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Software Engineer | AI & Cloud | AWS AI&ML Scholar’24 | Microsoft Azure Certified | Hacktoberfest’23 | Harvard WECode Scholar’23
Building the future through thoughtful and scalable software development, I am driven by a strong interest in computer science and a commitment to continuously expanding my technical expertise. I actively develop skills across Cloud, Security, DevOps, AI, and Deep Learning, applying structured problem-solving to create reliable and innovative solutions. Focused on consistent growth, I strive to build technology that supports meaningful development and long-term impact.
Amity University
Bachelor of Computer Applications (BCA), Cloud & Security
January 1, 2026 – January 1, 2029
UPES
Bachelor of Technology - BTech, Computer Science & Engineering (CCVT & DevOps)
January 1, 2021 – January 1, 2023
BML Munjal Green Medows School
Class-10 & Class-12, PCM with Computer Science
April 1, 2013 – April 1, 2021
Headstarter
Software Engineering Resident
October 1, 2025 – March 1, 2026
New York, United States · Remote
MedTourEasy
Data Analytics Trainee
July 1, 2025 – August 1, 2025
Gurugram, Haryana, India
Amazon Web Services (AWS)
AWS AI & ML Scholar
October 1, 2024 – March 1, 2025
Seattle, Washington, United States · Remote
Headstarter
Software Engineering Fellow
July 1, 2024 – September 1, 2024
New York, United States · Remote
Celebal Technologies
Cloud Infra and Security Intern
May 1, 2024 – July 1, 2024
Jaipur, Rajasthan, India · Hybrid
Salesforce
Software Developer Intern
December 1, 2023 – March 1, 2024
Southern Federal University (former Rostov State University)
Winter Intern (DBMS)
November 1, 2023 – January 1, 2024
Rostov Oblast, Russia · Remote
Hacktoberfest
Open Source Code Contributor
October 1, 2023 – November 1, 2023
CodeClause
Graphics Designer Intern
July 1, 2023 – August 1, 2023
OctaNet
Web Development Intern
June 1, 2023 – August 1, 2023
Bhubaneswar, Odisha, India
Azure Developers Community
#include<her>cohort 2.0 mentee
June 1, 2023 – July 1, 2023
Harvard WECode: Women Engineers Code Conference
WE Amplify Scholar
February 1, 2023 – February 1, 2023
Cambridge,MA · Remote
Piramal Foundation
Student Intern
June 1, 2022 – July 1, 2022
Haridwar, Uttarakhand, India · On-site
Stock Forecasting and Visualization Using LSTM
February 1, 2024 – April 1, 2024
Developed a stock market analysis project that employed LSTM neural networks for visualization and forecasting. Demonstrated proficiency in Python, LSTM models, and Yahoo Finance API for data collection. Utilized AWS (RDS, EC2) for database deployment and web application hosting. Set up the framework with Django and implemented interactive visualization with Plotly.
Serverless Resource Configuration Tuner: AWS Lambda Power Tuning
December 1, 2023 – February 1, 2024
A “Serverless Resource Configuration Tuner” is a tool or system designed to optimize the configuration settings for serverless resources. In a serverless architecture, resource such as functions, databases, storage and other services are provisioned and managed by the cloud provider, allowing developers to focus solely on writing code without worrying about infrastructure management. Lambda Power Tuning is a project aimed at optimizing the performance and cost of AWS Lambda functions by tuning their memory allocation, which also affects CPU allocation. Here’s an explanation of the results that can be expected from Lambda Power Tuning: Visualization of Average Cost and Speed: The State machine generated by Lambda Power Tuning provides a visual representation of the average cost and speed for each power configuration tested. Performance Tuning: Lambda Power Tuning evaluates different memory configuration (or “power” configurations) for AWS Lambda functions and measures their impact on both performance and cost. Cost Optimization: The tool helps users optimize the cost of running Lambda functions by finding the memory configuration that minimizes cost while still meeting performance requirements. Fine-grained Analysis: Lambda Power Tuning provides detailed insights into how changes in memory allocation affect both the execution time and cost of Lambda functions. Ease of Use: The project offers a user- friendly interface that simplifies the process of testing different memory configurations and visualizing the results. Overall, Lambda Power Tuning empowers AWS Lambda users to make informed decisions about memory allocation for their functions, leading to improved performance, reduced costs and better overall efficiency in their serverless applications.
Comparison of user - defined data sets on different data structures
August 1, 2023 – December 1, 2023
Implemented Java-based fundamental data structures (lists, stacks, queues) and sorting algorithms (Bubble Sort, Selection Sort, Insertion Sort). Conducted a comprehensive comparison of user-defined datasets across diverse data structures.
ContactHub: Contacts Management System
August 1, 2023 – December 1, 2023
Spearheaded the development of ContactHub, a Contact Manager Microservices project, leveraging Spring Boot for scalable and maintainable contact management. Implemented a microservices architecture with API Gateway, Eureka, and distinct services for user and contact data. Deployed the solution through containerization with Docker and Kubernetes.
Google Data Analytics Professional Certificate (v2)
Coursera
June 23, 2026 – Present
Introduction to Responsible AI
June 23, 2026 – Present
Introduction to Generative AI
June 23, 2026 – Present
Accenture North America - Coding: Development & Advanced Engineering Job Simulation
Accenture
June 23, 2026 – Present
AWS APAC - Solutions Architecture Job Simulation
Amazon Web Services (AWS)
June 23, 2026 – Present
Project Management Foundation
June 23, 2026 – Present
LinkedIn Certified Marketing Insider
June 23, 2026 – Present
Hackathon 7.0
UPES CSI Student Chapter
June 23, 2026 – Present
McKinsey.org Forward Program
McKinsey & Company
June 23, 2026 – Present
Introduction to Kubernetes (LFS158)
The Linux Foundation
June 23, 2026 – Present
Software Engineering Job Simulation
JPMorganChase
June 23, 2026 – Present
Harvard WECode Amplify Scholar
Harvard WECode: Women Engineers Code Conference
June 23, 2026 – Present
Microsoft Certified: Azure AI Fundamentals
Microsoft
June 23, 2026 – Present
Java (Basic)
HackerRank
June 23, 2026 – Present
AWS Academy Graduate - AWS Academy Cloud Developing
Amazon Web Services (AWS)
June 23, 2026 – Present
LinkedIn Marketing Strategy
June 23, 2026 – Present
Technology Consulting Virtual Experience Program
Accenture
June 23, 2026 – Present
AWS Community Day Dehradun
AWS User Group Dehradun
June 23, 2026 – Present
AWS Academy Graduate - AWS Academy Introduction to Cloud Semester 1
Amazon Web Services (AWS)
June 23, 2026 – Present
Oracle Cloud Infrastructure 2025 Certified AI Foundations Associate
Oracle
June 23, 2026 – Present
Paranox 2.O Hackathon
TechXNinjas
June 23, 2026 – Present
AI Programming with Python
Udacity
June 23, 2026 – Present
AWS Academy Graduate - AWS Academy Cloud Security Foundations
Amazon Web Services (AWS)
June 23, 2026 – Present
AWS Academy Graduate - AWS Academy Cloud Web Application Builder
Amazon Web Services (AWS)
June 23, 2026 – Present
AWS Academy Graduate - AWS Academy Cloud Architecting
Amazon Web Services (AWS)
June 23, 2026 – Present
LinkedIn Content and Creative Design
June 23, 2026 – Present
Build your own AI tool
Azure Developers Community
June 23, 2026 – Present
Gemini Certified University Student
June 23, 2026 – Present
Applying AI Principles with Google Cloud
June 23, 2026 – Present
Introduction to Large Language Models
June 23, 2026 – Present
AWS Academy Graduate - AWS Academy Microservices and CI/CD Pipeline Builder
Amazon Web Services (AWS)
June 23, 2026 – Present
Software Developer Intern
HackerRank
June 23, 2026 – Present
AMCAT Certified Data Processing Specialist
Aspiring Minds
June 23, 2026 – Present
LinkedIn Marketing Solutions Fundamentals
June 23, 2026 – Present
#include<her> Cohort 2.0
Azure Developers Community
June 23, 2026 – Present
Data Analytics Essentials
Cisco
June 23, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong inclination towards continuous learning and community involvement, as seen through numerous certifications, scholarships, and participation in programs like AWS AI & ML Scholar and Harvard WECode. The diversity of projects, from AI/ML to full-stack and web development, indicates a broad interest in technology. While the target role is Frontend Developer, a significant portion of the experience and projects lean towards AI/ML, backend, and DevOps, which might suggest a broader career interest or a need to align more specifically with frontend development. The involvement in open-source (Hacktoberfest) and team-based projects (Headstarter) suggests a collaborative and engaged individual.
Soft Skills & Operational Fit
The candidate's extensive participation in various programs, hackathons, and open-source contributions suggests strong initiative, a proactive learning attitude, and a collaborative spirit. The descriptions of personal projects indicate problem-solving abilities and a structured approach to development. The 'Software Engineering Resident' role at Headstarter emphasizes fast-paced team environments and mentorship, pointing to adaptability and a growth mindset. However, without direct behavioral assessment data, specific soft skill proficiency levels are inferred.