About Me

Hi! I am Arshil. I am a software engineer skilled in game development, machine learning, fullstack and robotics. My process of problem solving initiates with diving straight into the problem with the skills I currently have, then based on what I need, I level myself up and improve upon the algorithm. This led me to explore a variety of software disciplines while ensuring efficient product delivery, as proven by the achievements below. Hope you like it here! Feel free to reach out to me. Always happy to connect with people.

Professional Experience

Founder | MakeSense (May 2026 – Present)

• Validated the concept before writing product code: ran 10 ad variants on a ₹1,000 total budget; the eventual MakeSense concept generated 4x more leads than the average variant.
• Built and shipped the first version in two weeks; now run product, content, and distribution solo as a one-person team.
• Grew to 50+ users and 200+ weekly site visits, driving 100K+ organic content views without paid spend.

Software Engineer | Envesty (May 2026 – Jul 2026)

• Built an internal AI-driven "Marketing OS" (a Claude-based system, modeled on MakeSense's own) that tracks the founder's past posts and current trends, then generates ready-to-use content cycles and scripts on request.
• Added a Reddit trend-pull so the system could surface real posts as inspiration for new content.
• Streamlined team coordination with a Notion + Slack integration, and built default/editable design templates the founder could extend on his own.
• The system is still in active use at the company post-internship.

Game Programmer Intern | Singular Scheme (May 2024 – July 2024)

• Pioneered high-impact performance optimization systems, including developing a sophisticated object pooling architecture that slashed runtime overhead.
• Conducted thorough system analysis and optimization, directly contributing to enhanced game stability and responsiveness.

Game Programmer Intern | IDZ Digital Limited (July 2023 – Sep 2023)

• Led development of 10+ technical prototypes in Unity & C#, rapidly validating novel game mechanics and accelerating R&D cycles.
• Engineered advanced physics simulation systems and optimized algorithms for peak runtime efficiency in complex game environment

Research

3D Gaussian Splatting — Hiroshima University (Oct 2026 – Jun 2027)

Selected for a nine-month research program studying memory optimization techniques for 3D Gaussian Splatting (3DGS).

Awards

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Projects

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