Nishan .

Business Development Executive

Delhi, Delhi, India3 mos experience

AI Enabled

Key Highlights

Proficient in MERN stack and AI technologies.
Hands-on experience in building scalable backends.
Strong collaboration skills in fast-paced environments.

Stackforce AI infers this person is a Full-Stack Developer with a focus on AI applications in Healthcare.

Contact

Skills

Core Skills

E-commerceEnterprise ConsultingBack-end Web DevelopmentArtificial Intelligence (ai)

Other Skills

AIDatabase ManagementShopifyFull-Stack Development

About

I’m Nishan — a final-year {ECE} eng. grad exploring full-stack development,Applied AI, and the art of building thoughtful digital products. 🛠️ Tools I currently work with: → MERN Stack (MongoDB, Express, React, Node.js),Typescript,Tailwind → Next js, PostgreSQL, Prisma. → Frontend vibes: GSAP, Framer, ShadCn. -⚙️I’m also into first principles thinking, philosophy, and systems — bringing those ideas into how I write code, solve problems, and design tools. Projects so far: → GTA VI Landing Page clone (HTML, CSS, JS,GSAP) → A Landing page for SM album collection.(HTML, CSS, JS, GSAP ) → Quote Generator from scraped X/Twitter data (Python + JS) → Auth + CRUD backend APIs (Node.js, MongoDB) 🧩 I’m learning by building in public — and always down for collaborations, weird ideas, or open-source vibes. 💼 Actively looking for internships or freelance work to sharpen my skills in real-world teams and systems. Let’s connect — open to DMs & opportunities.

Experience

3 mos

Total Experience

3 mos

Average Tenure

3 mos

Current Experience

Tread commerce

Business Consultant

Mar 2026 – Present · 3 mos · Remote

E-CommerceEnterprise Consulting

Early-stage ai startup (remote)

Software Engineering Intern (AI / Full-Stack)

Jan 2026 – Jan 2026 · 0 mo · Remote · Remote

Worked in an early-stage startup environment to build and iterate on the MVP from scratch.
Evaluated and compared multiple AI models [Claude Opus 4.6, Gemini-3-Pro, GPT-5.1 etc] by analyzing response quality, latency, and cost to select the most suitable solution for production use and managed database.
Built and shipped rapid feature prototypes with frequent iterations based on internal feedback.
Contributed to an AI system focused on pharmaceutical label compliance, including detecting potential label violations and generating compliant image and video outputs aligned with regulatory requirements.
Collaborated closely with founders to translate ambiguous requirements into working product features in a fast-moving setup.

Back-End Web Development