Full-Stack Engineer, Cloud & Data-Minded

Jeshwanth Anthony

****************@*****.*** https://github.com/jeshwanthanthony www.jeshwanthanthony.com Arlington, VA

Education

George Mason University, Fairfax, VA

B.S. in Computer Science GPA: 3.5, Dean’s list Expected May 2026

Relevant Coursework: Operating Systems, Data Structures, Low-Level programming, OOP, Software Engineering, Data mining, Databases.

Certificate, Building RAG agents – Nvidia

Software Engineer with full-stack internship experience building web applications, APIs, automation workflows, and cloud-deployed tools using JavaScript/TypeScript, Python, React, Node.js, SQL, and AWS. Strong foundation in operating systems, data structures, and backend development, with hands-on experience shipping production features, improving system reliability, and building scalable developer-facing tools.

Experience

Full Stack Developer Intern, Asymmetrica Investments AG, Remote (U.S.) . Oct. 2025–March. 2026

Built and shipped full-stack features using Next.js/React, TypeScript, Node/Express, Python, improving performance and maintainability across reusable web applications used by the team (dashboards, forms, admin views).

Built a Streamlit workflow to discover/classify investor sites, collect company context from HTTPS webpages and REST APIs, generate personalized outreach with OpenAI API, send/track 1,000+ emails via SendGrid, and export updated Excel files using pandas/openpyxl.

Built investor-relations CRM platform integrating Airtable, REST APIs, database workflows, and reusable UI components.

Implemented release safeguards (tests + CI/CD + monitoring) to support reliable deployments and faster iteration.

Developed secure REST/GraphQL endpoints for order placement/execution including risk checks, workflow orchestration, and audit-ready logging

Optimized data storage/query performance for user profiles and trade history via indexing/query tuning and automated backups.

AI Data & Product Intern — KapitalGPT, Remote (U.S.) Sep. 2025 – Dec. 2025

Supported development and deployment of FinPal, an AI personal-finance app built with React (Vite), Supabase, and Vercel, helping ship product improvements from build release.

Conducted investor/market research to deliver decision-ready datasets, improved platform discoverability through SEO and directory submissions, and contributed to published technical research (ResearchGate).

Selected Projects (Additional project portfolio/view available at my website.)

InboxAI – AI-Powered Email Intelligence Platform (In Progress) - (FastAPI, React (Vite), TypeScript, Supabase, Gmail API, OpenAI API, REST, OAuth)

Designed and developing a full-stack AI system that transforms Gmail into an intelligent workspace by ingesting, analyzing, and structuring email data in real time.

Built a FastAPI backend with RESTful endpoints to fetch, parse, and process emails using the Gmail API, including handling OAuth2 authentication, token refresh, and secure API integration.

Implemented email parsing pipelines to extract headers, threads, MIME content, and message bodies using base64 decoding and structured payload traversal.

Developed AI workflows using the OpenAI API to perform email summarization, prioritization, action extraction, subscription detection, and reply generation.

Built dynamic reply generation system supporting thread-aware responses (In-Reply-To, References headers) and automated email drafting/sending via Gmail API.

Integrated Supabase database for user and connection management, including token storage and session handling.

Engineered backend to support asynchronous processing, modular pipelines, and scalable inbox handling (20+ emails per batch request with pagination support).

Developed a React + Tailwind frontend that presents emails as an interactive AI workspace with summaries, actions, and AI-generated drafts instead of a static inbox.

Addressed real-world constraints including API rate limits, token expiration, secure credential handling (.env), and cross-origin communication (CORS).

OS/161 Process + Syscall Kernel Extension (C, OS, Git)

Implemented a Unix-style process subsystem (PID allocation, global process table, parent/child tracking) with correct synchronization using locks + condition variables.

Wired core syscalls (fork, execv, waitpid, _exit, getpid, getppid) through trapframe dispatch; implemented fork via address-space + trapframe cloning and execv via safe user kernel arg copying.

Validated correctness with automated + custom tests; documented debugging fixes and design tradeoffs.

Relational Database Analytics Engine + Spring Boot (Oracle, SQL)

• Designed a normalized relational schema and developed optimized SQL queries (JOINs, CTEs, window functions) to generate reporting insights for a restaurant management system; improved query performance through indexing.

Jave Pixel Imaging Suite (Java, Object Oriented Programming, Data Structures)

Built a standalone Java imaging tool that performs real-time segmentation and compression using Quadtree spatial decomposition to represent uniform-color regions efficiently.

Implemented tree-based image operations (brightness/contrast adjustments, region edits) directly on the Quadtree to minimize full-image recomputation and reduce memory overhead.

Designed import/export workflow to reconstruct and save processed images from tree representation with consistent output quality.

Optimized for performance and low memory usage (e.g., avoiding per-pixel duplication); suitable for graphics pipelines, backend batch processing, or API integration

MindMeld APP + AI Companion - Live App: https://mindmeldapp.netlify.app/ (React, AWS, Netlify, OpenAI API)

Built MindMeld, a cross-platform React app with a Node.js backend deployed on Netlify (frontend) and AWS Elastic Beanstalk (backend) to deliver real-time guided stress-relief sessions.

Integrated the OpenAI API to power context-aware conversations that lead users through breathing/supportive coaching, including a dynamically fetched motivational quote at session start.

Implemented production readiness with environment-secured API keys and GitHub-based CI/CD for automated deployments, plus a responsive UI optimized for mobile and desktop.

Relevant Skills

Languages & Frameworks: Proficient in Java, Python, C, Node.js, SQL, React, and Visual Basic, with experience in full-stack application development and cross-platform deployment.

Tools & Technologies: Skilled in Git/GitHub version control, CI/CD pipelines, Maven, environment configuration (.env), AWS cloud services, Netlify hosting, JavaFX, JUNG, and API integrations including OpenAI.

Collaboration & Workflow: Experienced in Agile/Scrum methodology, cross-functional team coordination, and delivering high-quality software in iterative

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