I am a hobbyist software developer and a tinkerer.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
aman-tyagi-portfolio
May 23, 2026 – Present
Minimalist backend engineer portfolio built with Next.js, TypeScript, Tailwind, and Framer Motion.
View Projectfood-calorie-track
May 10, 2026 – Present
Production-ready Telegram bot (Node.js + TypeScript) that analyzes food photos with Google Gemini Vision to estimate calories/macros (protein, carbs, fats), stores meals in SQLite, and provides daily summaries via /summary. Docker-ready and built with Telegraf + Fastify.
View Projectdebugging-simulator
May 6, 2026 – Present
An interactive, AI-powered debugging simulator that evaluates developers on their problem-solving and investigation behaviors.
View Projectlog-processor
September 28, 2025 – September 28, 2025
High-performance Node.js log processor built for 1GB+ files using streaming to process logs line-by-line with minimal memory. Uses the Node.js cluster module to split work across CPU cores and aggregate results for fast throughput. Includes safe sync-vs-async benchmarking plus per-worker memory usage monitoring for performance insights.
View Projectdns-server
September 27, 2025 – September 27, 2025
A Node.js implementation of a basic authoritative DNS server
View Projectgo-projects
August 27, 2025 – August 31, 2025
Collection of projects built to support my 'learning by doing' approach.
View Projectgraphite
June 11, 2025 – June 11, 2025
A minimal, learning-focused GraphQL engine built from scratch in Node.js, using only Express and pure JavaScript. No external GraphQL libraries—just core parsing and resolving logic to handle nested queries at a /graphql endpoint. Ideal for understanding how GraphQL works under the hood.
View Project.dotfiles
April 26, 2025 – Present
Aman's Dotfiles, Portable, symlink-based dotfiles for a modern macOS terminal dev environment — just clone, install, and go.
View ProjectCompetitive-Companion
August 8, 2021 – August 8, 2021
Automatic Parse testcases without using listen competitive companion command using NodeJS
View ProjectCultural Fit Analysis
The candidate exhibits a strong inclination towards personal projects, demonstrating initiative and a passion for technology beyond formal employment. The diverse range of projects, from DNS servers to AI-powered debugging simulators and Telegram bots, indicates a broad technical interest and a willingness to tackle complex challenges. This self-starter mentality aligns well with cultures that value continuous learning and independent problem-solving. However, the lack of team-based projects or professional experience makes it challenging to assess collaboration and interpersonal skills.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive, self-directed learning approach, particularly through 'learning by doing'. The variety of personal projects suggests curiosity and a drive to explore different technologies and problem domains. However, without specific assessment data or work experience, it's difficult to fully assess operational fit, teamwork, or communication in a professional setting.