Safal Gautam

Software Developer at Stealth startup

Remote · Data & AI engineering

I look after engineering for the data platform, working across large-scale web scraping, ingestion, event-driven pipelines, databases, and backend APIs. I handle architecture, development, deployment, and the day-to-day work of keeping data fresh and systems reliable.

I also work on AI engineering, building data agents for extraction, cleanup, validation, and audits across web pages, PDFs, images, and spreadsheets. I build MCP tools that let AI applications access and work with our data, alongside the platform's existing APIs.

Backend Engineer Intern at Masovison Technology

Remote

Built Node.js APIs for a map-based application, including authentication, role-based access, and geolocation services.

Context

Shared memory for engineering agents

Engineering decisions tend to get scattered across repositories and conversations. I built a searchable context warehouse so coding agents can find the decisions, architecture notes, and incident lessons behind the code.

Markdown holds the source material; SQLite FTS5 handles search. A local MCP server makes it available to Claude Code and Codex, with hooks to capture new context as work happens.

Sign language recognition

Combined CNN and LSTM models to recognize signing gestures over time, using L2 regularization to address overfitting.

Published as “Sign Language Translator for Dumb and Deaf” · Safal Gautam et al. · pp. 198–202

Covid Face Mask Detection Using Neural Networks

Used MobileNetV2 to distinguish properly worn, improperly worn, and absent masks, reporting 97.25% accuracy.

Volume 9, issue 9 · pp. 664–670

Fordham University

M.S. in Computer Science

New York, NY · GPA 4.0 / 4.0

Vellore Institute of Technology

B.Tech. in Computer Science & Engineering

Vellore, India · GPA 9.09 / 10