01Flagship
Computer Vision · Human–Computer Interaction
Gesture Unity Bridge
Real-time hand gestures and clap detection drive a complete Unity cinematic experience through typed WebSocket events.
Open to AI internships, collaboration, and ambitious ideas
Building practical AI systems with curiosity and purpose.
I'm Mayank Singh, an aspiring AI Engineer and BCA (Hons.) student in Artificial Intelligence & Data Science at Graphic Era Deemed to be University. I turn ideas into useful, testable products across RAG, computer vision, agents, automation, and modern backend engineering.
23+Professional projects
19Coursera certificates
4Engineering domains
1Flagship HCI system
01 / About
A builder at the intersection of AI, software, and ambition.
I enjoy understanding how systems work, then rebuilding them into something useful. My journey started with Python fundamentals and practical automation. It now spans machine learning, generative AI, retrieval-augmented generation, computer vision, agentic workflows, APIs, and full-stack product delivery.
I value steady progress over shortcuts. Every project is a chance to strengthen my engineering judgment, document what I learn, test risky assumptions, and create work that is transparent about both its capabilities and limits.
01Learn deeply
02Build practically
03Improve consistently
02 / Project dashboard
Complete systems, not isolated experiments.
Filter the portfolio by engineering domain. Every card links to a public repository with implementation details.
02Multimodal
AI Assistant · Safe Tool Use
AI Personal Assistant
Voice, vision, PDF grounding, explicit memory, and approval-gated Calendar and Gmail actions in one auditable assistant.
03Citation-first
Generative AI · Retrieval
RAG Chatbot
Private PDF question answering with grounded citations, local retrieval, persistent indexing, and an optional Gemini layer.
04Governed
Business Workflows · Auditability
AI Business Automation Platform
Reusable HR, finance, marketing, email, and reporting workflows with approvals, templates, and audit logs.
05Full stack
Explainable AI · Product Delivery
SignalDesk AI
Explainable support-ticket triage with PII redaction, typed batch APIs, and a responsive React operations dashboard.
06Explainable ML
Forecasting · Anomaly Detection
SpendScope ML
Expense analytics with forecasting, anomaly detection, merchant classification, diagnostics, and interactive reporting.
07Privacy-first
Offline Computer Vision
VisionPulse
Real-time face and person detection with local processing, privacy blur, webcam and video support, and a Streamlit demo.
08Multi-agent
Planner · Researcher · Coder · Reviewer
Multi-Agent AI Assistant
An auditable agent team with structured handoffs, SQLite history, a FastAPI backend, and optional Gemini integration.
09Security-aware
Repository Intelligence
AI Code Reviewer
Safe ZIP analysis for Python repositories with line-level findings, complexity signals, and security-focused recommendations.
10Natural language
Data Analysis · Explainable Answers
CSV AI Analyzer
Natural-language analytics for CSV and Excel with deterministic calculations, Plotly charts, APIs, and optional AI explanations.
11Production-minded
Personal Finance · Reporting
Finance Tracker Pro
Privacy-first finance dashboard with authentication, reports, CSV export, automated tests, CI, and Docker support.
12Privacy-first
NLP · Career Intelligence
AI Resume Analyzer
Explainable ATS scoring, skill detection, keyword-gap analysis, actionable improvement guidance, and PDF reports.
03 / Engineering toolkit
From model behavior to product delivery.
I focus on technologies that help me move from experimentation to reliable, usable software.
AI & reasoning
RAGLangChainLangGraphAgentsNLPPrompt EngineeringEvaluation
Vision & machine learning
OpenCVMediaPipeScikit-learnPandasForecastingAnomaly Detection
Backend & data
PythonFastAPIREST APIsWebSocketsSQLitePostgreSQL
Product & delivery
ReactStreamlitDockerGitHub ActionsPytestArchitecture Docs
04 / Engineering journey
Growing through increasingly complete systems.
My work shows a deliberate progression from fundamentals to applied AI products with stronger engineering boundaries.
Python and software fundamentals
Automation tools, CLI applications, APIs, data handling, Git, testing, and documentation.
Models connected to real workflows
Computer vision, machine learning, RAG, explainable analysis, and interactive application interfaces.
Safe agents and full-stack delivery
Approval gates, audit trails, privacy boundaries, typed APIs, Docker, CI, and multi-component products.
Building depth and production judgment
Improving evaluation, deployment, cloud skills, reliability, and the ability to turn ambitious ideas into dependable software.
05 / Continuous learning
Learning from trusted technology leaders.
Nineteen verified Coursera course certificates and one specialization support my practical work across AI, machine learning, deep learning, Python, and responsible technology.
Verify all credentialsGoogleAI Essentials & Responsible AI
AI foundations, productivity, prompting, responsible use, and staying ahead of the AI curve.
IBMMachine Learning & Generative AI
Python, machine learning, neural networks, Keras, prompt engineering, and software engineering.
Politecnico di MilanoArtificial Intelligence Foundations
AI technologies, machine learning, ethics, platforms, and legal considerations.
06 / Let's connect
Let's build something meaningful.
I'm interested in AI engineering internships, collaborative projects, research-minded conversations, and opportunities to learn by building useful systems with thoughtful people.