Blending software engineering, AI, and creative storytelling into immersive experiences – from cloud-backed apps to beach walks, car shoots, and long-form love stories.
About Arjun
A technologist with a storyteller’s heart – building scalable systems by day and writing love stories, capturing waves, and shooting moments by sunset.
I'm a graduate Computer Science student at VCU, specializing in software engineering, AI, and cloud solutions. I enjoy designing distributed systems, REST APIs, and data-driven applications using Python, Flask, React, and modern cloud tooling like Azure and Docker.
- Designing clean, scalable backends and APIs that feel “invisible” to the user.
- Using AI/LLM tools to make products more human, not just more automated.
- Capturing mountains, beaches, and city nights with a cinematic mood.
- Writing scenes where feelings hide between lines – high on emotion, low on drama.
- M.S. in Computer Science – Virginia Commonwealth University.
- Strong in Python, Java, C++, Go, JavaScript/TypeScript, UNIX/Linux.
- Hands-on with React, Node.js, Flask, Docker, Azure, Snowflake, OpenAI API.
- Comfortable across distributed systems, AI, cloud, and data workflows.
- Creative skills: book writing, photography, video editing, Figma-based design.
Resume Overview
A condensed view of my skills, education, and professional experience.
- Languages: Python, Java, C++, Go, JavaScript, TypeScript, TCL, VHDL, UNIX Shell.
- Frameworks & Tools: React, Node.js, Flask, Gradle, Docker, Git, VS Code, Snowflake, Azure (Synapse, Cognitive Search, ML), ChatGPT/OpenAI API.
- Libraries: NumPy, Pandas, Matplotlib.
- Domains: Distributed Systems, AI, Cloud Computing, Data Science, Business Intelligence.
-
Virginia Commonwealth University, Richmond, VA
M.S. in Computer Science (GPA: 3.4/4.0), Aug 2024 – Dec 2025.
Courses: Data Mining, AI Systems, Software Testing, Human-Centered Computing.
-
Graduate Grading Assistant – VCU CS Dept
Supported AI, Data Science, and Web Development courses using Python, React, and Flask. Debugged modular applications with emphasis on asynchronous programming, clean code, and better documentation. -
Tech Mentor – Sparkle Fest Hackathon
Guided teams in building enterprise-grade web apps using React, Figma, and Node.js. Helped deploy projects with Git, Docker, and Azure pipelines.
- AI Engineer — One Roadmap (2025).
- Software Engineering Simulation — Accenture (Forage, 2025).
- AWS Solutions Architecture Simulation — Forage (2025).
- Data Analytics Simulations — Deloitte & Tata (Forage, 2025).
- Software Engineering Simulation — HPE (2025).
- Cybersecurity & Data Analytics — HP LIFE (2025).
Projects
A mix of AI-driven backends and human-centered interfaces.
Designed and built a production-style data intelligence backend modeled after federal systems. The service ingests data from APIs and CSV uploads, cleans and normalizes it through ETL pipelines, stores it in PostgreSQL, and exposes analytics and reporting through authenticated FastAPI endpoints with full Swagger documentation.
The entire stack is containerized with Docker and orchestrated using Docker Compose, making it easy to deploy on cloud platforms and mirroring real enterprise and federal infrastructure patterns. This project highlights my strengths in backend engineering, data pipelines, API security, and cloud-ready deployment.
Built an AI-driven resume scoring system that replicates ATS logic using NLP and LLMs. Designed modular Python APIs with Flask, integrated OpenAI, and deployed a scalable backend on Azure with a React dashboard for interactive scoring.
- Reduced manual resume review time by ~60% for test users.
- Generated detailed feedback for 100+ sample resumes during evaluation.
Created a voice-driven interface using Azure Speech Services for real-time interaction. Focused on accessibility and low-latency UX with asynchronous event handling, streaming responses, and intuitive React components.
- Tested with student users to help complete common tasks hands-free.
- Built modular hooks to plug into future assistants and LLM agents.
On the side, I combine storytelling and tech – from interactive love-story experiences to dashboards like this one. I enjoy using code to make emotions feel more tangible, not just data more structured.
With Love, Arjun – Story World
My first long-form book: a slow-burn love story wrapped in college life, NCC camps, distance, and letters that never arrived on time.
With Love, Arjun follows Arjun and Khushi – two engineering students whose bond grows through WhatsApp flashbacks, NCC drills, almost- confessions, and flights that arrive before the right words do. It’s written like a conversation with the reader: playful Telugu lines, emotional beats, and cinematic slices of everyday college life.
“No, this wasn’t love yet. It was the heartbeat before the heartbreak – the silence before the storm.”
- Chapter 1 – The Girl I Saw on the Steps: first sight, online beginnings, NCC, almost moments.
- Chapter 2 – The First Time I Felt Her Slipping Away: distance, late-night calls, confessions half-said.
- Chapters 3–6: trying, Diwali, camps, farewells, one last college sunset.
- Chapters 7–9: a trip to Hyderabad, flights, LDR, illness, and letters written from borrowed time.
Writing is where I slow down feelings. I like capturing how small things – hand-holds after parade, yellow sarees at farewell, unsent voice notes – carry more weight than dramatic plot twists. My tech background keeps my structure clean, but my stories are all heart.
I’m especially drawn to:
- College-era emotions: NCC, labs, corridors that remember us.
- Hybrid narration – mixing chat screenshots, “flashbacks”, and inner monologue.
- Stories that feel like a playlist: every chapter a different mood.
Photography & Videography
Small shoots, big skies – I love framing people and nature in a way that feels like a memory.
A lot of my favourite frames look like these: standing by the ocean, walking alone on the sand, leaning against railings, or catching reflections on a black Mustang hood after rain. I chase golden hour and soft cloudy light more than harsh sun.
- Short cinematic reels of trips and hikes – smooth pans, soft transitions, and lo-fi music.
- Portraits that feel honest rather than over-posed.
- Color grading with warm skin tones and teal/black shadows for a calm, cinematic mood.
- Story-driven edits where visuals and text feel like a single scene.
These are five of my favourite shots – from beaches to forests to quiet car moments.
Contact & Next Steps
Whether it’s a role, a collaboration, or a story idea – I’d love to hear from you.
I’m excited about roles and projects that mix engineering with narrative: recommendation systems that feel personal, dashboards that tell stories, and experiences where users don’t just click – they feel.