Tech and Data Science Intern

JOB TITLE

Full-Stack Engineering & Data Science Intern

LOCATION

100 % remote – work from anywhere

DURATION

3–6 months (option to extend or convert to full-time)

REPORTS TO

Vivek Gupta (Founder / CTO) – you will work directly with me every day

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WHY THIS ROLE

I move fast on MVPs that blend software engineering with applied data science—AI-powered micro-services, vector search back-ends, real-time dashboards, and proof-of-concept apps for clients in logistics, fintech, and health. You'll be my engineering co-pilot: brainstorming architecture in the morning, shipping features by evening, and iterating on data models in between.

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RESPONSIBILITIES

• Build and refine full-stack prototypes: Next.js or React front-ends, TypeScript/Node or Python services, Postgres/Mongo/Weaviate data layers, CI on GitHub/GitLab.

• Perform data science and ML tasks: quick EDA, feature engineering, small model training/testing (LLMs, tabular, or CV) and integration into products.

• Handle cloud ops: containerize, deploy, and monitor on Azure, AWS, GCP, or Vercel/Fly.io.

• Own projects end-to-end: from whiteboard to usable demo, incorporating rapid customer feedback.

• Write concise technical docs: READMEs, notebooks, and short Loom walkthroughs for hand-off.

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QUALIFICATIONS

Must-Have

• Strong grasp of modern web stack (JavaScript/TypeScript or Python).

• Comfort with SQL plus one NoSQL or vector database.

• Hands-on Git/GitHub workflow experience.

• Solid intuition for data wrangling and analysis (pandas, NumPy, scikit-learn).

• Ability to self-drive deliverables in an asynchronous, fast-paced setting.

• Clear written and spoken English.

Nice-to-Have

• Experience with Next.js, tRPC, or GraphQL.

• Familiarity with Cube, Microsoft Fabric, or dbt.

• DevOps basics (Docker, GitHub Actions).

• Exposure to OpenAI, LLaMA, or RAG pipelines.

• Prior hackathon or startup experience.

• Tasteful eye for UX/UI (Tailwind, shadcn/ui).

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WHAT YOU WILL GAIN

• Daily mentorship at the cutting edge of full-stack and AI product development.

• Rapid learning curve across engineering, MLOps, and product thinking.

• Visible impact—your code will ship to production pilots for enterprise clients.

• Flexible hours—overlap 3–4 hours per day for pairing; otherwise async.

• Competitive stipend tied to clear milestones.

• Potential pathway to extend, join full-time, or spin up your own venture with my network's backing.

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HOW TO APPLY

1. Email [Confidential Information] with the subject line: FS-DS Intern – .

2. In the email include:

• One short paragraph on why this internship excites you.

• Links to your GitHub, a project/demo you are proud of, and/or a brief Kaggle or blog write-up.

• Earliest start date and weekly availability.

3. Short-listed candidates will complete tests and a two-hour take-home mini-build; we'll review it together on a call.

If you love turning ideas into working software and enjoy switching between code editors, notebooks, and strategy whiteboards, let's build the impossible—faster.