I’m Musharraf Aziz, an Engineer focusing on AI/ML systems, full-stack products, and automation that solve real business challenges.

     

I'm Musharraf, an AI/ML Engineer focused on building intelligent systems, developing data-driven solutions, and deploying scalable applications that solve real-world problems.

• I design and develop machine learning and deep learning solutions for practical business and research applications.
• I deliver AI-powered products using LLMs, RAG pipelines, and modern full-stack technologies.
• Automate workflows and optimize processes through data, software engineering, and intelligent systems.

• RAG systems and guardrail layers that keep LLM output grounded, safe, and auditable.
• AI front offices that predict risk, route decisions, and compress manual operations.
• Full-stack SaaS products with clean UX, secure auth, and automated workflows.
• Vision and voice interfaces that run locally or stream through low-latency inference.

• SHBRAG - a self-healing RAG backend with confidence gating, deterministic failure states, and Groq-based inference.
• LLM Guardrail Gateway - a policy boundary for prompt sanitization, schema validation, and compliance telemetry.
• llm-eval-cicd - a CI evaluation loop that tracks relevancy, faithfulness, and hallucination regressions before release.
• emotional-support-rag - a safety-first support assistant anchored to validated datasets with local redaction and RAG memory.
• VoiceGuard - an intelligent proxy that strips sensitive identifiers from audio before turning speech into structured action.
• Overwatch AI - a multimodal threat analysis surface for scam detection across text, image, and audio signals.

• Emotion Detector - on-device emotion recognition powered by TensorFlow.js and face-api.js.
• Gesture Control - webcam-based desktop control using hand landmarks and gesture commands.
• Air Canvas - touchless drawing that turns hand movement into real-time sketching.
• GhostAssist - an invisible interview copilot for low-latency speech-to-answer assistance.
• transcription-pipeline - a FastAPI transcription service that returns transcripts with timestamps.
• ml-spam-classifier - a decoupled NLP microservice for real-time threat classification.

• Organic Harvest - a farm-to-table commerce engine with cart recovery, automated upsells, and post-purchase lifecycle flows.
• Green Navigator - an enterprise carbon reporting dashboard for extracting emissions data from utility bills.
• VisaPath - a travel intelligence platform that optimizes visa routes, tracks embassy status, and enforces Pro access.
• DENTL / dentl2 / dentl3 - a dental SaaS family spanning templates, clinic management, and polished patient-facing experiences.
• Nexus, Chat Saved, Asset-Thief, and Domain Drainer - browser and desktop tooling for downloads, chat export, asset discovery, and domain analysis.
• InvoiceIQ - invoice intelligence and financial risk automation for predictable cash flow operations.

• Ship production-grade systems, not proofs of concept.
• Keep the interface calm, dense with signal, and clear under load.
• Treat security, auditability, and latency as product features.
• Prefer measurable business outcomes over abstract technical novelty.

Programming Languages:

Machine Learning & Deep Learning:

Generative AI & LLMs:

Data Science & Analytics:

Development:

Databases:

Backend & APIs:

Cloud & Deployment:

Version Control & Tools:

Automation:

I build AI products that solve practical problems end to end: finance risk scoring, carbon tracking, voice interfaces, guardrailed RAG, and SaaS automation that removes operational drag.