11/03/2025 updated
100 % available
Full Stack Developer | Web Scraping Expert | AI & Automation Enthusiast
Ahmedabad, India
Worldwide
Bachelor of Technology in Computer Science and EngineeringAbout me
AI & Automation Engineer with expertise in Node.js, Python, and scraping. Experienced in building scalable crawlers, AI agents, automation workflows using LangGraph, FastAPI, and n8n. Passionate about data-driven systems, backend development, and creating intelligent, efficient digital solutions.
JavaScript.NET FrameworkApplication Programming Interfaces (APIs)Artificial IntelligenceAutomationMicrosoft AzureBuilding AutomationBusiness ProcessesCloud ComputingComputer ProgrammingDatabasesData CollectionWeb ScrapingDevOpsFinances
I am a Full-Stack and AI Automation Engineer with expertise in web scraping, backend development, and AI agent design. Skilled in building scalable, production-ready systems using Node.js, Python, and modern AI frameworks, I deliver intelligent solutions across SEO, automation, and data analytics domains.
Programming & Technical Proficiency
Languages: Node.js, JavaScript, TypeScript, Python
Frameworks & Libraries: Express.js, FastAPI, LangGraph, LangChain, Selenium, Playwright, TensorFlow, Scikit-Learn, OpenCV, NumPy, Pandas
Databases: MongoDB, MySQL, NocoDB
Web Scraping & Automation Tools: Puppeteer, Headless Chrome, Axios, Selenium, n8n, Make.com
AI & NLP Tools: Hugging Face, OpenAI API, LangGraph agents
DevOps & Cloud: Docker, Azure, Git, Google Colab, Jupyter
Specialties: AI Agent Development, Scalable Web Crawling, Backend APIs, Workflow Automation
Professional Experience
Software Development Engineer 1 | Milestone Inc. (Jul 2023–Present)
Built a distributed web crawler scanning millions of URLs weekly, cutting costs by 40%.
Designed REST APIs for DOM/Markdown scraping, powering AI ingestion pipelines.
Developed AI chatbots and itinerary agents using LangGraph and FastAPI to automate workflows.
SDE Intern | Milestone Inc. (Jan 2023–Jul 2023)
Automated FAQ generation for Google My Business, reducing manual work by 25%.
Optimized .NET APIs for performance and scalability.
Data Science & ML Intern | Canary Mail (May 2022–Jul 2022)
Built NLP-based phishing detection models improving email security by 30%.
Created malicious URL detection models using web scraping and domain analysis.
Key Projects
Automation Workflows for Business Operations: Developed 15+ n8n/Make.com workflows integrating ticketing and property management; reduced manual tasks by 60%.
Web Crawling & AI Ingestion Tools: Built crawlers for SEO KPI tracking and competitor benchmarking; improved crawl efficiency by 40%.
AI Stock & Sentiment Analysis Tool: Scraped Yahoo Finance and analyzed financial news using Hugging Face models.
Movie Recommendation System: Created ML-based recommender using collaborative and content-based filtering.
Certifications: Node.js (Udemy), Advanced JavaScript (Udemy), Generative AI (LinkedIn), Problem Solving (HackerRank)
Achievements: 3rd Place – National Hackathon (SUNY Binghamton), Employee of the Quarter/Month at Milestone, 300+ LeetCode problems solved, 3★ CodeChef (Max 1744), Treasurer at RCNI Club.
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Experience
Professional experience0 - 5 years
Freelancer since2023
Languages
EnglishNative speaker
Project history
Led the development of the Web Crawler Tool, which scans millions of URLs weekly to collect SEO-related KPIs from live websites, reducing crawling costs by 40% and enhancing web performance analysis and SEO strategy optimization. â—‹ Developed the Digital Presence Insights Tool, leveraging a backend crawler to analyze web performance and SEO KPIs for websites and competitors, providing detailed, Google-aligned comparisons for quick decision-making. â—‹ Conducted POCs to enhance projects and migrate their tech stacks, improving efficiency and performance.
Contributed to developing the FAQ Manager Product, a tool for managing FAQs across websites and Google My Business (GMB) accounts, with automated FAQ generation reducing human interpretation by 25%. â—‹ Enhanced legacy .NET APIs to improve performance, optimize resource usage, and reduce operational costs, ensuring greater efficiency and scalability.
Developed machine learning models for phishing email detection and improved email security through real-time detection and classification.