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Schedule Interview NowMy name is Roscoe B. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: Game, Game Development, Game Design, Quality Assurance. I hold a degree in . Some of the notable projects I’ve worked on include: Non-Custodial Crypto Autopilot (Discord + Kraken + Stripe SaaS), HubSpot Responsive Email Template — Modular, Litmus-Tested, AI Sports Betting Bot with Real-Time Odds + Parlay Generation, Stock Sniper Bot. Real-Time Alerts & Market Signals, Sports Betting Parlay Bot. Real-Time Edge, etc.. I am based in Springfield, United States. I've successfully completed 11 projects while developing at Softaims.
I'm committed to continuous learning, always striving to stay current with the latest industry trends and technical methodologies. My work is driven by a genuine passion for solving complex, real-world challenges through creative and highly effective solutions. Through close collaboration with cross-functional teams, I've consistently helped businesses optimize critical processes, significantly improve user experiences, and build robust, scalable systems designed to last.
My professional philosophy is truly holistic: the goal isn't just to execute a task, but to deeply understand the project's broader business context. I place a high priority on user-centered design, maintaining rigorous quality standards, and directly achieving business goals—ensuring the solutions I build are technically sound and perfectly aligned with the client's vision. This rigorous approach is a hallmark of the development standards at Softaims.
Ultimately, my focus is on delivering measurable impact. I aim to contribute to impactful projects that directly help organizations grow and thrive in today’s highly competitive landscape. I look forward to continuing to drive success for clients as a key professional at Softaims.
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Epic Games
Built a production-ready crypto trading autopilot that users run in their own Kraken accounts (you never hold funds). Features: trend engine (EMA/ATR), AI trade gate, risk controls, paper/live modes, PnL, and Discord “control panel” UX. Monetized with Stripe subscriptions + referral splash. Secure encrypted key vault (trade-only keys; withdrawal-check), subscriber role gating, health server & webhooks. Result: scalable, low-touch SaaS bot for communities.
Goal: build a brand-accurate HubSpot email that renders flawlessly in Gmail, Outlook, and Apple Mail. Solution: hand-coded, table-based HTML with inline CSS, bulletproof buttons, retina images, and dark-mode-safe colors. Delivered reusable HubSpot modules (hero, columns, CTA, footer), accessibility (semantic markup/alt text), and Litmus QA across major clients. Impact: faster campaign production, fewer rendering issues, and measurable CTR lift.
I built a full-stack Discord-integrated AI betting assistant that predicts MLB, NBA, NCAAB, and Soccer outcomes using real-time stats, odds APIs, and AI logic. It simulates star-rated predictions, generates FanDuel-style parlay tickets, and even speaks to users via a branded AI persona. Users can request daily parlays, prop picks, and breakdowns—all automatically generated and ranked by confidence.
This Stock Sniper Bot gives traders and investing teams a real-time edge by scanning high-volume tickers, detecting breakout patterns, and delivering instant alerts based on price action and momentum triggers. I built the backend using Node.js and integrated it with real-time stock APIs like Finnhub to monitor tickers. When prices break above key thresholds (e.g., 2%+ moves or approach day highs), the system triggers visual, time-stamped alerts with clear market context and stats.
This Sports Betting Parlay Bot gives users a real-time edge by analyzing odds, syncing game data, and automating multi-leg bet construction. I designed and built the backend logic, web dashboard, and data pipelines using Node.js, Python, and Socket.IO. The bot scans sportsbook APIs, identifies high-probability parlay combinations, and logs everything into a structured dashboard for bettors.
in Computer Science
2021-01-01-2022-01-01