SHAWN ALFONSO

Mumbai, Maharashtra, India

Profile

Machine Learning engineer and former co-founder/CTO who built and shipped computer-vision and LLM-based products. Comfortable owning ML systems end-to-end and leading small engineering teams. Targeting ML / AI roles at early-stage startups.

Education

B.E.University of Mumbai (Fr. C. Rodrigues IT)

Nov 2022 - Jun 2026

Experience

Co-founder & CTOThinking Engines

May 2025 - Apr 2026

AI sports analytics startup, Navi Mumbai

Owned the entire ML stack for PostMatch, an automated football analytics product: built player-detection, tracking, and event-recognition pipelines (YOLO variants, OpenCV) that powered passing maps, interceptions, heatmaps, touchmaps, and chances-created-in-final-third from fisheye match footage.
Diagnosed scale-invariance and small-object-detection limits of off-the-shelf YOLO on fisheye video; scoped the CV pipeline to statistics it produced reliably and designed a human-in-the-loop workflow for the remainder (aerial duels, second touches) shipping a working product rather than over-promising on automation.
Hired and led 11 paid interns across ML, backend, frontend, and design; defined the architecture for an internal analyst platform, separate team and player analytics apps, and a video annotation tool used by coaches.
Scaled to 25 teams and 700+ players analysed in year one; ran direct discovery with coaches to translate domain requirements into product specs.

ML / AI EngineerFreelance

Apr 2026 - Present

Independent contracts, construction sector

Building a Purchase Order automation app for a construction firm: OCR pipeline extracts invoice date, number, client, and pre/post-GST amounts from vendor PDFs and surfaces them in a role-based dashboard. React + FastAPI, PaddleOCR, vendor-template matching by GST number.
Building an LLM-based data analysis assistant for a second construction client using Claude with a custom tool harness — natural-language queries over the company's operational data, with tool-calling for retrieval, aggregation, and chart generation. Both engagements currently at POC.

Projects

DataPilot-V2 - Local-first AI data-science copilotMar 2026 - Apr 2026

VS Code extension that runs an 8-step ML pipeline (profiling → EDA → preprocessing → feature engineering → training → evaluation → SHAP explainability) on any uploaded CSV and produces a downloadable trained model.
Custom ReAct agent built on LangGraph + Llama 3.1 via Ollama; three-layer architecture (TypeScript extension, React webview, FastAPI backend) with real-time SSE streaming. Runs entirely on-device — no API keys, no cloud cost. Open source on GitHub.

KeyGuard - Encrypted vault for AI API keysFeb 2026 - Apr 2026

Local-first vault with envelope encryption (AES-256-GCM + Argon2id), TOTP 2FA, OS-keychain integration, and a git pre-commit hook that blocks accidental key leaks; bundled gitleaks for repo and filesystem scanning.
One-command provider rotation for OpenAI, Anthropic, and Stripe: creates a new key, verifies it, walks the user through deployment updates, then revokes the old key. Open source on GitHub.

BlockVote - On-chain multi-election votingJan 2026 - Apr 2026

Solidity smart contract on Ethereum enforcing one-vote-per-address inside configurable voting windows; Node/Express/SQLite backend with JWT auth and MetaMask wallet integration; admin workflow for elections, candidates, and voting periods recorded immutably on-chain. Open source on GitHub.

Metis - Multi-tenant AutoML platform (in development)May 2026 - Present

Architected an end-to-end AutoML system for mid-market companies in regulated verticals: continuous ingestion, 9-specialist AutoML routing layer, post-prediction tooling (SHAP, conformal intervals, drift detection, audit trails). Currently architecture and prototyping.

Skills

PythonMachine Learning (supervised learning, model evaluation)Computer Vision (YOLO, OpenCV)LLM application development (LangGraph, ReAct agents, tool use)FastAPISQLTypeScriptNext.jsNode.js / ExpressSQLiteDockerJupyterOllamaPaddleOCRSolidityFigmaManaged 11-person engineering team as CTO; hiring, technical direction, cross-functional product scoping.

Intern

Data Scientist Resume

1yr exp

Blue

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About this Data Scientist Inter resume example

This is a real, recruiter-ready data scientist inter resume example you can use as a starting point. It is built the way a strong data scientist inter resume should be: a results-led summary, work experience framed around measurable outcomes rather than duties, and a skills section that names the tools and keywords a hiring team for this role screens for. Every section is laid out cleanly so an applicant tracking system can parse it, which is what gets a resume in front of a human in the first place.

Treat it as a structure to follow, not a script to copy. Keep the ordering and the way each bullet leads with an achievement, then replace the details with your own numbers and experience. When your draft is ready, run it through the free ATS check to confirm the formatting and keywords land before you apply.

How to use this example

1
Open it in the editor. Use this data scientist inter example as your starting layout instead of a blank page - the structure is already right for the role.
2
Swap in your own results. Replace each bullet with your achievements and quantify them - numbers are what make a data scientist inter resume stand out.
3
Check it against an ATS. Run your version through the free ATS check so you know the formatting parses and the right keywords are present.

Want more inspiration or ready to build your own data scientist inter resume?

More Intern examples Browse all resume examples

SHAWN ALFONSO

Mumbai, Maharashtra, India

Profile

Education

B.E.University of Mumbai (Fr. C. Rodrigues IT)

Nov 2022 - Jun 2026

Experience

Co-founder & CTOThinking Engines

May 2025 - Apr 2026

AI sports analytics startup, Navi Mumbai

Owned the entire ML stack for PostMatch, an automated football analytics product: built player-detection, tracking, and event-recognition pipelines (YOLO variants, OpenCV) that powered passing maps, interceptions, heatmaps, touchmaps, and chances-created-in-final-third from fisheye match footage.
Diagnosed scale-invariance and small-object-detection limits of off-the-shelf YOLO on fisheye video; scoped the CV pipeline to statistics it produced reliably and designed a human-in-the-loop workflow for the remainder (aerial duels, second touches) shipping a working product rather than over-promising on automation.
Hired and led 11 paid interns across ML, backend, frontend, and design; defined the architecture for an internal analyst platform, separate team and player analytics apps, and a video annotation tool used by coaches.
Scaled to 25 teams and 700+ players analysed in year one; ran direct discovery with coaches to translate domain requirements into product specs.

ML / AI EngineerFreelance

Apr 2026 - Present

Independent contracts, construction sector

Building a Purchase Order automation app for a construction firm: OCR pipeline extracts invoice date, number, client, and pre/post-GST amounts from vendor PDFs and surfaces them in a role-based dashboard. React + FastAPI, PaddleOCR, vendor-template matching by GST number.
Building an LLM-based data analysis assistant for a second construction client using Claude with a custom tool harness — natural-language queries over the company's operational data, with tool-calling for retrieval, aggregation, and chart generation. Both engagements currently at POC.

Projects

DataPilot-V2 - Local-first AI data-science copilotMar 2026 - Apr 2026

VS Code extension that runs an 8-step ML pipeline (profiling → EDA → preprocessing → feature engineering → training → evaluation → SHAP explainability) on any uploaded CSV and produces a downloadable trained model.
Custom ReAct agent built on LangGraph + Llama 3.1 via Ollama; three-layer architecture (TypeScript extension, React webview, FastAPI backend) with real-time SSE streaming. Runs entirely on-device — no API keys, no cloud cost. Open source on GitHub.

KeyGuard - Encrypted vault for AI API keysFeb 2026 - Apr 2026

Local-first vault with envelope encryption (AES-256-GCM + Argon2id), TOTP 2FA, OS-keychain integration, and a git pre-commit hook that blocks accidental key leaks; bundled gitleaks for repo and filesystem scanning.
One-command provider rotation for OpenAI, Anthropic, and Stripe: creates a new key, verifies it, walks the user through deployment updates, then revokes the old key. Open source on GitHub.

BlockVote - On-chain multi-election votingJan 2026 - Apr 2026

Solidity smart contract on Ethereum enforcing one-vote-per-address inside configurable voting windows; Node/Express/SQLite backend with JWT auth and MetaMask wallet integration; admin workflow for elections, candidates, and voting periods recorded immutably on-chain. Open source on GitHub.

Metis - Multi-tenant AutoML platform (in development)May 2026 - Present

Architected an end-to-end AutoML system for mid-market companies in regulated verticals: continuous ingestion, 9-specialist AutoML routing layer, post-prediction tooling (SHAP, conformal intervals, drift detection, audit trails). Currently architecture and prototyping.

Skills

Intern

Data Scientist Resume

1yr exp

Blue

Similar Examples

Khushali Ganatra

Fullstack

Business Development Associate Resume

Gunjan

About this Data Scientist Inter resume example

How to use this example

1
Open it in the editor. Use this data scientist inter example as your starting layout instead of a blank page - the structure is already right for the role.
2
Swap in your own results. Replace each bullet with your achievements and quantify them - numbers are what make a data scientist inter resume stand out.
3
Check it against an ATS. Run your version through the free ATS check so you know the formatting parses and the right keywords are present.

Want more inspiration or ready to build your own data scientist inter resume?

More Intern examples Browse all resume examples

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