Projects using Python in DhakaProjects using Python in DhakaEngineered with VS Code, PHP, Angular, Custom Framework, SQL, Python, and elite LLMs (Gemini, Claude), this isn't a generic AI wrapper. Guided by a six figures marketer, my team and I built a compliant B2B growth engine that replaces expensive middleware (n8n/Make), saving over $12k/mo.
It scrapes leads, sends spam-proof emails in your exact brand voice, and auto-generates blogs with JSON-LD Schema for GEO ranking.
The Flex: Custom Python logic turns 7 hours of marketing into 15 minutes, handling strict compliance rules that no prompt or drag-and-drop Ai app builder can touch. 🚀
Hit me up on Contra to build the complex apps that AI app builders can't. Or, I and my team can pick up exactly where your AI builder or 'vibe coding' got stuck. 🚀 Figma to Live Website conversion: EIC Limited Website
Figma Design Implementation: Faithfully converted multi-page Figma mockups into structured, production-ready code/components, maintaining pixel-perfect fidelity across typography scales, card layouts, and intricate spacing matrices.
Performance Optimization: Optimized modern web assets, minified payloads, and engineered clean structures to guarantee ultra-fast page speeds—crucial for compliance clients visiting from mobile data networks across the APAC region.
Complex Data & UI Architecture: Effectively structured dense compliance service grids, documentation timelines, and heavy tabular comparison lists (e.g., EIC vs. Global vs. Local firms) into responsive, scannable, and clean interfaces.
Interactive UI Elements: Built interactive lead pathways, including the "Request a Scoping Estimate" forms and custom dynamic accordion structures for their multi-category technical FAQs. This project involved collecting, reviewing and standardising publicly available cosmic void catalogue data from DESI DR1, SDSS DR7 and SDSS DR12 sources. The raw files were examined to identify the relevant fields, catalogue structures, algorithms and available boundary information.
I developed a common data structure covering void position, redshift, comoving coordinates, effective radius, ellipticity, density contrast, significance, member-galaxy count and edge status. The data were cleaned and merged into a single table containing 200 selected cosmic voids across REVOLVER, VIDE, ZOBOV and VoidFinder catalogues.
A size-based selection method was applied to include large, medium, small and randomly selected interior voids from each catalogue group. Where edge information was available, boundary voids were excluded to maintain the quality of the selected sample.
The final package also included 19,172 member-galaxy records for 75 selected voids and boundary-surface data for 24 voids. Supporting visualisations were prepared to present the sky distribution, comoving-space distribution and member-galaxy structure of the selected voids. Capture The Flag (CTF) Challenge Development & Competition Support
Designed and developed hands-on Capture The Flag (CTF) challenges for cybersecurity competitions, covering multiple domains such as web exploitation, cryptography, reverse engineering, OSINT, forensics, and binary exploitation. Assisted in planning, testing, and hosting the competition to ensure a smooth participant experience.
Responsibilities:
Created original CTF challenges with varying difficulty levels
Developed flags, hints, and challenge validation
Tested challenges for stability and fairness
Assisted with competition infrastructure and event support
Prepared write-ups and solutions for post-event learning
Outcome: Successfully contributed to a well-organized CTF event that provided participants with practical, real-world cybersecurity challenges and an engaging learning experience. 
