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Software Development Engineer with 1+ years in Full-Stack, AI/ML & Web Development
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Assessing your cultural and operational fit
Highly motivated Software Development Engineer with a focus on delivering end-to-end solutions across diverse technology stacks. Experienced in leading multiple verticals including Web Development, AI/ML Development, and Full-Stack Development. Proven ability to spearhead AI Agent Automation projects, develop enterprise-grade Web Scraper solutions, and implement automated testing frameworks for improved efficiency and code quality. Strong collaborator with cross-functional teams on product strategy, market research, and sales enablement initiatives.
LJ Institute of Computer Applications
Master of Computer Applications (MCA)
August 1, 2025 – June 30, 2027
LJ Institute of Computer Applications
Bachelor of Computer Applications (BCA)
August 1, 2022 – June 30, 2025
Pulpit Mobility & Zeniapex Pvt Ltd.
Software Development Engineer - Multiple Roles
November 1, 2025 – Present
Gandhinagar, Gujarat, India
Ker Infotech
Full-Stack Developer (MERN Stack)
September 1, 2025 – October 31, 2025
Ahmedabad, Gujarat, India
Sarjen System
CodeCrafters Internship - Frontend Developer
April 1, 2025 – June 30, 2025
Ahmedabad, Gujarat, India
AI Agent Automation System
November 1, 2025 – June 30, 2026
Building intelligent AI agents using Python, LangChain, and OpenAI APIs for autonomous task execution and decision-making workflows Implementing natural language processing pipelines for automated document processing, email handling, and customer query resolution Integrating multiple AI models (GPT-4, Claude) with custom prompt engineering for domain-specific automation tasks Developing agent orchestration system with memory management and context awareness, reducing manual intervention by 60%
Instagram Data Scraper Tools (Python)
November 1, 2025 – June 30, 2026
Designed and developed a full-scale Instagram scraping system using Python (Requests, Instagrapi, Selenium) to extract public profile data including followers, following, posts, reels, captions, engagement metrics, and hashtags. Implemented fault-tolerant scraping with smart retries, proxy rotation, dynamic user-agent switching, and session management to ensure consistent extraction despite Instagram rate limits. Built high-performance data pipelines using Pandas for cleaning, deduplication, and transformation of large datasets, storing the processed data into MongoDB for analytics and BI reporting. Developed modular scraping architecture enabling multi-profile batch scraping, automated scheduling (Cron/Task Scheduler), and asynchronous operations for 10,000+ daily data fetches. Created real-time monitoring dashboard to track scraping health, success rates, API failures, and performance metrics, improving operational visibility and reducing manual supervision.
Translation Tools Android Application
August 1, 2025 – December 31, 2025
Developed feature-rich Android translation app using Java and Kotlin, replicating Google Translate's core functionality with custom UI/UX enhancements Integrated ML Kit Translation API for offline translation support across 50+ languages with 98% accuracy Implemented voice-to-text translation, camera OCR for text recognition, and real-time conversation mode using Firebase ML Designed intuitive Material Design interface with dark mode support, handling 500+ daily active users in testing phase
Music Point MERN Stack Music Streaming Platform
January 1, 2025 – April 30, 2025
Engineered full-stack music streaming application using MERN stack with AWS cloud integration for scalable media storage and CDN delivery Developed RESTful APIs for user authentication, album management, and real-time song streaming with optimized MongoDB queries reducing load time by 40% Implemented dynamic category management and responsive React UI, enabling seamless browsing across 500+ songs and 100+ albums Deployed on AWS EC2 with S3 for media storage, ensuring 99.9% uptime and handling 100+ concurrent user sessions
Online Vehicle Renting System
July 1, 2024 – November 30, 2024
Built comprehensive vehicle rental platform using Django and PostgreSQL, managing real-time booking availability for 50+ vehicles Designed collision detection algorithm preventing double bookings and optimized fleet utilization by 30% Created responsive frontend with Bootstrap and JavaScript, improving user engagement by 35% through advanced search filters Integrated payment gateway simulation and automated email notifications for booking confirmations
Master Full-Stack Web Development with Laravel & PHP
Coursera
June 1, 2026 – Present
AWS Academy Cloud Architecting
AWS Academy
June 1, 2026 – Present
Python Programming
Coursera
June 1, 2026 – Present
Introduction to Web Development
Coursera
June 1, 2026 – Present
Java Programming
Coursera
June 1, 2026 – Present
SQL for Data Science
Coursera
June 1, 2026 – Present
CodeCrafters (Next Gen Development Program)
Sarjen System
June 1, 2026 – Present
JavaScript Essentials
Coursera
June 1, 2026 – Present
Google UX Design
Coursera
June 1, 2026 – Present
Data Visualization and Communication with Tableau
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a broad range of interests and skills across full-stack development, AI/ML, mobile app development, and cloud architecture, which aligns well with a dynamic and innovative work environment. The diversity of projects (AI agents, web scraping, mobile apps, streaming platforms) and technologies used suggests adaptability and a willingness to learn new tools. The pursuit of a Master's degree while gaining professional experience indicates a commitment to continuous learning and growth, which is a positive cultural indicator. However, the short tenure at Ker Infotech (2 months) could be a point for further inquiry regarding commitment and stability.
Soft Skills & Operational Fit
The candidate's resume highlights leadership in multiple verticals and collaboration with cross-functional teams, suggesting good operational fit and teamwork potential. The descriptions of optimizing processes and improving efficiency (e.g., reducing manual processing time by 60%, improving code quality by 45%) indicate a results-oriented approach. However, without specific psychometric or English test results, a deeper assessment of soft skills and communication clarity is limited.