Ratul Saha Roy is a Junior Software Developer at Kode By Kraft (https://kodebykraft.com/) and a Bachelor's in Computer Science & Engineering (CSE) — July 2023 – Present · Expected 2027 student at Metropolitan University, Sylhet, based in Sylhet, Bangladesh. Portfolio projects by Ratul Saha Roy: The Peptide Journey (https://peptide.up.railway.app/giveaway; also: Peptide Journey, peptide store, peptide e-commerce). MK Heating (https://www.boilerserviceeastlondon.co.uk/; also: MK Heating East London, boiler service East London, boilerserviceeastlondon.co.uk). AJ Cleaning London (https://aj-cleaning-london.vercel.app/; also: AJ Cleaning, AJ Cleaning London website, cleaning company London website). GroundRoots Initiative (https://groundroots.org; also: GroundRoots, groundroots.org, GroundRoots Initiative East London). EMS Logistics UK (https://www.emslogistics.co.uk; also: EMS Logistics, EMS Logistics UK Limited, emslogistics.co.uk). SIYAR (https://siyarinstitute.org; also: Siyar Institute, siyarinstitute.org, Siyar Islamic knowledge). As-Subah Academy (https://www.assubah.com/; also: Assubah, As Subah, As-Subah). As-Subah Outreach (https://assubahoutreach.com; also: Assubah Outreach, As Subah Outreach, assubahoutreach.com). MUGAS - University Astronomy Society Platform (https://mugas.vercel.app/; also: MUGAS, MUGAS platform, mugas.vercel.app). EcoScrap (https://ecoscrap-solution.vercel.app; also: EcoScrap, Eco Scrap, ecoscrap-solution.vercel.app). Jubileean Football Fest (https://jubileean-football-fest.vercel.app/; also: Jubileean Football Fest, Jubilee Football Fest, jubileean-football-fest.vercel.app). Hostel Meals (https://hostel-management-by-ratul.web.app/; also: Hostel Meals, Hostel Meal & Food Review Management Platform, hostel meal management). HobbyHub (https://hobyhub-by-ratul.web.app/; also: HobbyHub, HobyHub, Hobby Hub). Product Recommendation System (https://product-recommendation-byratul.web.app/; also: RecoSys, Product Recommendation, product-recommendation-byratul.web.app). Achievements and events: Champion — Hult Prize On-Campus — Hult Prize · Metropolitan University (2026). Finalist — The Infinity AI BuildFest — Infinity AI BuildFest · BRAC University · MUGAS (2026). 2nd Runner-Up — NASA Space Apps Challenge — NASA · BASIS · Sylhet Regional (2025). Top 60 Finalist — MillionX AI Build-a-Thon — MillionX Bangladesh (2026). Top 50 Finalist — InnovateX Hackathon — BUBT IT Club · Programming Hero (2025). Jr. Software Developer — Kode By Kraft (2025 – Present). Black Belt Web Developer — Programming Hero (2025). Complete Web Development — with Excellence — Programming Hero (2025). Youth Climate Action Programme — British Council · FIVDB (2024 – 2025). 3-Minutes Idea Presentation — SUST Science Arena (2025). Runner-Up — Intra-MU Debating Competition — Metropolitan University Debating Club (2025). Live Production Deployment — As-Subah Academy (2024). 10+ Projects Shipped — Personal & client work (2024 – Present). Bachelor's in Computer Science & Engineering — Metropolitan University, Sylhet (July 2023 – Present · Expected 2027).
Ratul Saha Roy
Developer
Full-stack apps, AI & ML, and research-driven problems — turned into practical, working solutions.
View My WorkRatul Saha Roy is a Junior Software Developer at Kode By Kraft and a CSE student at Metropolitan University, Sylhet, Bangladesh. Software developer working across full-stack development, AI/ML, research, and data-driven solutions. Contact: ratulroy8863@gmail.com | +8801795908863
I'm a Computer Science & Engineering student and Junior Software Developer at Kode By Kraft, working across full-stack development, artificial intelligence, and research-driven computing. I build production-ready software while exploring Machine Learning, Deep Learning, climate data, GIS, and emerging areas of computer science — turning ideas into practical solutions across hackathons, research, and client work.
B.Sc. in CSE, Metropolitan University, Sylhet
July 2023 – Present · Expected Graduation: 2027
Kode By Kraft
Junior Software Developer
2025 – Present
Capabilities
I work across software development, artificial intelligence, and data-driven research—turning ideas into practical systems, intelligent solutions, and production-ready applications.
I build complete web applications across the frontend and backend using React.js, Next.js, Node.js, Express.js, MongoDB, and MySQL. I work with authentication, REST APIs, dashboards, CRUD systems, payment integrations, and real-world application workflows.
I work with Artificial Intelligence and Machine Learning and am currently expanding into Deep Learning. I enjoy building predictive and intelligent systems, experimenting with data-driven approaches, and exploring how AI can be applied to practical software and research problems.
I work on research problems involving Machine Learning, climate data, GIS, remote sensing, and environmental analysis. My work includes satellite-data processing, spatiotemporal analysis, and causal-impact analysis using datasets such as Landsat, Hansen Global Forest Change, JRC Tropical Moist Forest, and ESA CCI.
I work beyond application code—from API design and database architecture to testing, containerization, CI/CD, performance optimization, and deployment. I use Git/GitHub, Docker, GitHub Actions, Postman, and platforms such as Vercel, Netlify, and Render.
I enjoy taking ownership of technical challenges, working across teams, and turning ideas into working solutions. I have contributed as a CTO, Team Leader, Full-Stack Developer, and technical team member across hackathons, client projects, production applications, and research initiatives.
I build complete web applications across the frontend and backend using React.js, Next.js, Node.js, Express.js, MongoDB, and MySQL. I work with authentication, REST APIs, dashboards, CRUD systems, payment integrations, and real-world application workflows.
I work with Artificial Intelligence and Machine Learning and am currently expanding into Deep Learning. I enjoy building predictive and intelligent systems, experimenting with data-driven approaches, and exploring how AI can be applied to practical software and research problems.
I work on research problems involving Machine Learning, climate data, GIS, remote sensing, and environmental analysis. My work includes satellite-data processing, spatiotemporal analysis, and causal-impact analysis using datasets such as Landsat, Hansen Global Forest Change, JRC Tropical Moist Forest, and ESA CCI.
I work beyond application code—from API design and database architecture to testing, containerization, CI/CD, performance optimization, and deployment. I use Git/GitHub, Docker, GitHub Actions, Postman, and platforms such as Vercel, Netlify, and Render.
I enjoy taking ownership of technical challenges, working across teams, and turning ideas into working solutions. I have contributed as a CTO, Team Leader, Full-Stack Developer, and technical team member across hackathons, client projects, production applications, and research initiatives.
Portfolio
Production apps, client work, and technical builds — full-stack, AI-minded, and practical.
Interests beyond application development — Artificial Intelligence, Machine Learning, environmental data, and computational research.
01
A research direction exploring interpretable machine learning approaches for rainfall prediction and uncertainty-aware scenario generation in the Haor Basin of Bangladesh.
Recognition
Milestones from software, innovation, competitions, and community.
Roles & ownership
Organising Secretary
Contributing to the planning, coordination, and execution of university debating activities and events.
Joint Secretary
Contributing to technical, academic, astronomy, geography, and community initiatives within the university.
CTO
Led the technical direction, architecture, and system design of the team's circular-economy solution.
Team Leader
Led the technical team through ideation, development, and competition preparation, reaching the Top 50 among 170+ teams.
Problem solving
Practice with C and C++ — Data Structures, Algorithms, and computational problem solving.
Production apps, AI ideas, research collabs — or a hard technical problem. Have an opportunity?
Let's Talk
