Comprehensive validation testing, proof-of-concept verification, and structural remediation audits to ensure complete security patch efficacy.
The Objective:
A development organization required a rigorous follow-up assessment to validate that security patches introduced after an initial audit were correctly implemented, completely neutralized the identified threat vectors, and did not introduce new regression flaws into the environment.
The Approach:
I executed a dedicated verification cycle focused specifically on replicating the original attack patterns using the exact tools and exploits from the initial assessment. Every patch was manually tested using Burp Suite Professional, custom Python exploit scripts, and runtime debuggers to confirm the vulnerability's status and measure remediation success against standard CVSS 3.1 metrics.
From a dedicated retesting scope targeting 20 original security findings, I delivered the following lifecycle results:
Closed (Remediated): Successfully verified the resolution of 16 findings, including all critical business logic bypasses and sensitive data exposure pathways, confirming they are no longer exploitable.
Bypassed (Incomplete Fixes): Identified 2 instances where a development team used client-side input validation instead of server-side sanitization, allowing the original exploit to still bypass the patch.
New Regression: Discovered 2 minor configuration errors introduced by changes made to the access control framework during the patching process.
Documentation Provided: Delivered updated Proof-of-Concept (PoC) logs and step-by-step documentation for the outstanding issues to guide the team to a permanent fix.
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A real estate business needed an efficient system to collect, enrich, and manage high-quality sales leads from public sources — reducing manual work and enabling seamless CRM integration. We built a targeted lead collection and enrichment system, extracting publicly available data, enhancing each lead with company name, role, and industry details, and preparing everything for direct import into HubSpot and Salesforce.
✅ Industry-specific lead collection using keywords and demographics
✅ Lead enrichment with company name, role, and industry data
✅ HubSpot & Salesforce ready CSV export
✅ Scalable, repeatable lead pipeline
Result: Client significantly improved productivity, cut manual lead tasks, and scaled outreach with organized, enriched data ready for immediate use.
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203
I developed a Restaurant Billing System using Python, Tkinter, SQLite, and PIL (Pillow). The application features menu management, bill generation, GST calculation, order management, and invoice printing through an intuitive desktop GUI. It is designed to simplify restaurant billing with a fast, user-friendly, and efficient interface.
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75
A brand needed to analyze competitor Instagram performance, identify content trends, and refine their marketing strategy — without manual tracking. We built a semi-automated competitor analysis system using a custom scraper, Google Sheets dashboard, and AI-assisted insights — delivering weekly automated reports with actionable strategy recommendations.
✅ Competitor engagement tracking and content analysis
✅ AI-assisted insights on high-performing content
✅ Real-time Google Sheets dashboard
✅ Weekly automated performance reports
✅ Fully policy-compliant public data sourcing
Result: Client gained clear competitor visibility, improved content strategy, and identified new audience engagement opportunities.
Skills & Tools: Web Scraping, Python, Social Media Marketing, Data Extraction, Instagram, Google Sheets, Automation
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187
I develop modern, secure, and scalable College ERP Systems using Python, Django, Django REST Framework, PostgreSQL, HTML, CSS, Bootstrap, JavaScript, Docker, Nginx, Gunicorn, Git, and Render. My expertise includes student information management, attendance tracking, academic records, role-based authentication, faculty and admin dashboards, course management, notifications, and responsive user interfaces. I build reliable, production-ready ERP solutions that streamline administrative workflows and improve efficiency for educational institutions.
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58
An eCommerce brand needed to streamline and scale their Shopify product listings — eliminating manual uploads and ensuring SEO-friendly, high-converting entries across their entire catalog. We built a custom Shopify scraper and automation system that extracted product details, enriched listings with keyword-optimized content, added branded image overlays, and delivered bulk import-ready CSVs.
✅ Automated product data extraction and enrichment
✅ SEO-optimized titles and descriptions
✅ Branded logo overlays on product images
✅ Bulk import-ready CSV & direct Shopify uploads
✅ Clean, uniform formatting across all listings
Result: Transformed a manual product catalog into a scalable, high-converting, hands-free sales engine.
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I develop modern, secure, and scalable e-commerce websites using Python, Django, PostgreSQL, HTML, CSS, Bootstrap, and JavaScript. My expertise includes product catalogs, shopping carts, secure authentication, payment gateway integration, order and inventory management, and responsive user interfaces. I also integrate third-party services such as Cloudinary for media storage and deploy applications using Docker, Nginx, Gunicorn, and Render to deliver fast, reliable, and production-ready e-commerce solutions.
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57
A brand needed a streamlined DM campaign system for personalized outreach and lead generation — without violating platform policies or using spammy automation. We built a lightweight, platform-compliant DM outreach system with custom messaging templates, audience targeting using hashtags and keywords, and a semi-automated workflow maintaining a genuine human touch.
✅ Hashtag & keyword-based audience targeting
✅ Personalized messaging templates aligned with brand tone
✅ Semi-automated workflow — human touch maintained
✅ Platform-compliant outreach strategy
Result: Improved response rates, consistent outreach performance, and significant time savings — leading to stronger connections and better conversions.
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185
Tell us about your work:
A data-driven business needed scalable, structured product and market data, fast and compliantly. We built a custom Python scraping solution extracting structured data from publicly accessible websites and eCommerce stores. Delivered clean, formatted datasets in CSV and Google Sheets, ready for immediate business use with zero manual effort.
✅ Custom scraping scripts for target platforms
✅ eCommerce product data collection
✅ Clean CSV & Google Sheets output
✅ Public, compliant data sourcing only
Result: Client received accurate, structured data ready for immediate business decisions, zero manual effort.
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