SENIOR SYSTEMS & AI ENGINEER // 2+ YEARS PRODUCTION EXPERIENCE

Engineering digital systems with
sub-second AI latency
on the line.

2+ years shipping production web platforms, autonomous AI agents, computer vision media forensics, and high-throughput data systems. Featured on the dashboard to the right: IFDL (Image & Video Forgery Detection Lab) — crowning final-year research thesis featuring dual-stream spatial ResNet-50 + FFT spectral deepfake forensics, complete UML architecture diagrams, and Google Drive FYP artifacts.

Explore All 9 Systems → Google Drive FYP Folder ↗ τ GitHub Profile ↗ &zap; Developer Terminal
95.4% Precision IFDL Dual-Stream Forensics
<84ms Inference Spatial CNN + FFT GPU
9+ Systems Live Vercel Edge & GitHub Verified
IFDL FORENSIC ENGINE // FINAL YEAR THESIS
Drive FYP Folder ↗ 95.4% Precision
FIGURE 6.3: DFD LEVEL 1 · SYSTEM DATA FLOW ARCHITECTURE • ACTIVE INGESTION ← Forgery Detection Coordinates & Heatmap Dispatched to Client ← ACTOR Client User Uploads Image FRONTEND IFDL Tool Base64 Encoder MIME Validation PREPROCESSING Normalize RGB 256×256 Resize REST API FastAPI Ingest <14ms Ingestion SERVER CORE Decode Image CUDA Memory Buffer PIPELINE Feature Extract ResNet-50 + FFT Spatial & Spectral IFDL MODEL Detect & Localize 95.4% ACC Heatmap Output
FIGURE 6.4: SEQUENCE DIAGRAM • 5 LIFELINES & ASYNCHRONOUS MESSAGING TRACE <74ms ROUND-TRIP Actor :User Interface :API Gateway :Feature Extraction :IFDL Model 01. Upload Image 02. Sends Image(Base64) 03. Raw Image(Tensor) 04. Send Features [2560-D] 05. Processed Image() 06. Results(Tampering Coordinates) 07. ForgeryDetection(Heatmap) 08. Render Forensic Report ✓ ✓ Asynchronous Non-Blocking Execution • P99: 74ms • HTTP 200 OK
FIGURE 6.1: ACTIVITY FLOW DIAGRAM • AUTOMATED DECISION STATE MACHINE • DETERMINISTIC DAG [YES] Tampered [NO] Authentic 01. AUTH Login Session 02. INGESTION Upload Image 03. PREPROCESS Normalize & Scale 04. INFERENCE Detect Forgery IS TAMPERED? SPATIAL LOCALIZATION Extract Heatmap OUTPUT REPORT Show Results ✓
DUAL-STREAM ARCHITECTURE · SPATIAL RESNET-50 + FAST FOURIER TRANSFORM (FFT) • 95.4% PRECISION INPUT RGB Frame 256×256×3 Normalized STREAM 1 · SPATIAL CNN ResNet-50 Backbone 49 Residual Skip Conv Layers Spatial Tensor: [2048-D] STREAM 2 · SPECTRAL FFT 2D Fourier Transform Log-Magnitude Frequency Spectrum Spectral Tensor: [512-D] FEATURE FUSION Concat Layer [2560-D Tensor] Dense(1024) + Drop CLASSIFIER Softmax Score 95.4% ACC FaceForensics++
REAL-TIME FORENSIC HEATMAP • SPATIAL MANIPULATION LOCALIZATION • TAMPERING DETECTED SUSPECT ROI Input Frame • 1920×1080 • NVIDIA TensorRT GPU STATUS: SYNTHETIC DEEPFAKE CONFIRMED Confidence: 95.4% • Fourier Spectral Residual: +4.2 dB INFERENCE LATENCY: 68.4ms TEST DATASET: FaceForensics++ AUC BENCHMARK: 0.982
GOOGLE DRIVE REPOSITORY • FINAL YEAR PROJECT ARTIFACTS
STAGE 06 / 06 • OFFICIAL HUB

Complete Master's Thesis Documentation & Artifacts

All original system architecture diagrams, sequence message traces, activity logic models, evaluation benchmarks, and PyTorch codebase files stored in the verified Google Drive repository.

Open Google Drive FYP Folder (Diagrams, Docs, Weights) ↗
GitHub PyTorch Codebase ↗
Direct Lightbox: [Figure 6.3 DFD Level 1] [Figure 6.4 Sequence] [Figure 6.1 Activity]
01 / DFD LEVEL 1 — Client Upload • Base64 Encode • API Gateway • Server Preprocessing
ENGINEERING CAPABILITIES

Full-spectrum systems from micro-frontend interfaces to deep learning inference engines.

Architected for sub-second execution, enterprise reliability, and scalable digital throughput. Every capability is validated by production-grade deployments and research benchmarks.

FULL-STACK & EDGE

High-Performance Full-Stack Web Systems

Modern reactive interfaces engineered with Next.js 14 App Router, React 19, TypeScript, and Tailwind CSS, backed by robust Node.js, Express, and FastAPI microservices. Optimized for sub-second TTFB, 99+ Core Web Vitals, serverless edge compute, and resilient REST/GraphQL data layers.

Next.js 14 React 19 TypeScript Node.js FastAPI Tailwind CSS Vercel Edge REST / GraphQL
✓ 99+ Core Web Vitals Score <120ms Edge TTFB
THESIS RESEARCH

Computer Vision & Deep Learning (IFDL)

Primary academic and engineering research detecting synthetic deepfakes and manipulated digital media. Custom PyTorch/TensorFlow CNN architectures (ResNet-50, EfficientNet), frequency-domain Fourier transform analysis, and real-time GPU inference pipelines.

PyTorch TensorFlow ResNet-50 FFT Analysis OpenCV
✓ 95.4% Detection Precision View Paper →
AUTONOMOUS AI

Autonomous Agents & LLM Toolchains

Production autonomous agents built with LangChain, LangGraph, and multi-agent coordination frameworks. Features function calling, dynamic tool use, iterative validation loops, persistent memory graphs, and goal-oriented task decomposition.

LangChain LangGraph Function Calling Tool Calling Multi-Agent
✓ Self-Correcting Execution Zero-Loop Guardrails
DATA SCIENCE & ANALYTICS

Streaming Data Science & Predictive Hubs

High-throughput data engineering pipelines and statistical modeling systems built in Python with Pandas, NumPy, Scikit-learn, and FastAPI. Interactive forecasting dashboards, multi-variate regression analysis, automated ETL pipelines, and streaming analytics for mission-critical decisions.

Python 3.12 Pandas NumPy Scikit-Learn FastAPI Apache Arrow Matplotlib / Seaborn Automated ETL
✓ Multi-Variate Forecasting Sub-Second Analytical Queries
KNOWLEDGE RETRIEVAL

Enterprise RAG & Vector Embeddings

Production knowledge retrieval systems backed by ChromaDB and Pinecone vector databases. Hybrid BM25 keyword + dense semantic embeddings, contextual reranking, and zero-hallucination source citation verification.

ChromaDB Pinecone Vector Search Context Rerank Semantic Chunks
✓ Verifiable Source Citations Zero-Hallucination Guard
RELIABILITY & SQA

Cloud Infrastructure & Production SQA Automation

Containerized cloud deployments with Docker, GitHub Actions CI/CD workflows, and Vercel Edge networks. End-to-end automated testing suites with Playwright, Jest, and PyTest ensuring zero regressions across all system tiers, load stress scenarios, and automated rollbacks.

Docker GitHub Actions CI/CD Playwright Jest PyTest Stress Testing Automated Rollback
✓ Zero-Downtime Rollouts 100% Automated Test Coverage on Critical Paths
ENGAGEMENT ARCHITECTURE

Three clear paths to ship production software.

Whether you need an autonomous engineer to build an entire product from scratch, an ML specialist to integrate deep intelligence, or a dedicated senior engineering partner.

SPRINT BUILD 4–8 WEEKS · FIXED SCOPE

Full-Stack & AI Product Build

Complete from-scratch engineering of your digital platform or AI application. From systems architecture and database design to modern UI and cloud edge deployment.

  • End-to-end frontend & backend architecture
  • Custom AI agent & LLM toolchain integration
  • Vercel / AWS cloud deployment & CI/CD pipeline
  • 100% full source code ownership & clean repository
  • 30-day post-launch warranty & uptime monitoring
MOST REQUESTED 2–6 WEEKS · SPECIALIZED SPRINT

Data Science & ML Engineering Contract

Specialized algorithmic and intelligence integration for existing engineering teams. Embedding computer vision, deepfake forensics, custom predictive models, or RAG assistants into your stack.

  • Custom PyTorch / Scikit-learn model development
  • IFDL visual forensics or synthetic data pipelines
  • FastAPI high-throughput inference microservices
  • Vector database setup (ChromaDB / Pinecone)
  • Inference benchmarking & latency optimization
RETAINER MONTHLY · 10–20 HRS / WK

Senior Lead & Systems Retainer

Dedicated technical bandwidth and leadership for startups and scaling ventures needing ongoing feature velocity, architecture reviews, and continuous AI pipeline upkeep.

  • Continuous feature development & code reviews
  • Architecture governance & AI pipeline upkeep
  • Priority pull requests & sprint velocity
  • Direct Slack / Discord / WhatsApp communication
  • Weekly strategic syncs & performance audits
SYSTEM DIAGNOSTICS & BENCHMARKS

Where Legacy Stacks Leak Speed, Accuracy, and Stability.

Diagnostic telemetry across 5 mission-critical architectures. Explore real benchmarks, performance bottlenecks, and modern engineering solutions implemented across my systems.

LATENCY BOTTLENECK
3.8s

Average unoptimized LLM agent response latency causing up to 42% user abandonment on interactive workflows and customer-facing assistants.

✓ PRODUCTION REMEDY · SUB-SECOND LATENCY

Streamed token response chunking, asynchronous parallel tool execution, Redis semantic query caching, and speculative function execution.

Deploy Async Toolchains → Redis Semantic Cache →
Uncached Context Retrieval +1,420ms delay

Querying raw vector stores on every turn without semantic embedding deduplication incurs redundant round-trip penalties.

Synchronous Tool Execution +1,850ms blocking

Sequential API queries freeze UI rendering instead of executing branch-level agent tool calls concurrently in parallel promises.

Hallucination Rerank Retries 28% retry rate

Unstructured schema prompts trigger repeated fallback validation cycles rather than deterministic JSON schema constraints.

RENDER DELAY
64%

Of mobile visitors bounce when Largest Contentful Paint (LCP) exceeds 2.5 seconds, directly deteriorating SEO ranks and lead conversions.

✓ PRODUCTION REMEDY · 99+ CORE WEB VITALS

Next.js 14 App Router Server Components (RSC), Edge CDN routing, automated WebP/AVIF compression, and inline critical CSS rendering.

Run Vitals Audit → Edge SSR Migration →
Monolithic Client JS Bundles +1.8MB payload

Over-importing client components and unminified utility suites degrades First Input Delay and Interaction to Next Paint (INP).

Unoptimized Media Assets +840ms LCP

Unscaled PNG/JPG formats served without modern next-gen responsive image loaders and modern edge cache policies.

Uncached API Payloads 340ms TTFB

Absence of stale-while-revalidate caching headers triggers heavy server recomputations on repeated visitor page requests.

FORENSIC ACCURACY
95.4%

Synthetic media detection precision achieved in IFDL thesis research by extracting both spatial textures and frequency-domain spectral artifacts.

✓ PRODUCTION REMEDY · IFDL ARCHITECTURE

Dual-branch CNN (ResNet-50 + FFT spectral frequency layer) exposing GAN upsampling anomalies with sub-100ms GPU batch inference.

Inspect IFDL Specs → Build Vision Pipeline →
Spectral Artifact Miss Rate (Standard CNN) 41% miss rate

Conventional spatial-domain CNNs fail to detect high-frequency GAN upsampling residuals that IFDL FFT layers capture reliably.

Full-Frame Video Processing Overhead 480ms / frame

Naively analyzing full video resolutions without facial/object bounding-box ROI cropping exhausts GPU inference capacity.

Compression Degradation Bias 18% false alarms

Social media compression (H.264/JPEG) obliterates subtle features unless models are trained across multi-codec augmentations.

THROUGHPUT MULTIPLIER
10x

Analytical query speedup realized by replacing single-threaded Python loops with vectorized Apache Arrow columnar memory and FastAPI.

✓ PRODUCTION REMEDY · VECTORIZED STREAMING

SIMD-vectorized NumPy routines, multiprocessing worker pools, PyArrow zero-copy data transfer, and asynchronous REST endpoints.

Optimize Data Pipeline → Build Predictive Hub →
Row-by-Row Iteration Bottleneck 8.2x slower

Iterating through records using Python for-loops instead of vectorized NumPy/Pandas array operations introduces massive GIL overhead.

Memory Spikes on Big Datasets 4.6GB RAM spike

Loading entire unindexed tabular files into memory rather than chunked streaming via memory-mapped Apache Arrow buffers.

Synchronous Batch ETL Lag +45min batch delay

Single-threaded batch jobs blocking downstream dashboard updates and delaying mission-critical management reporting.

SYSTEM RELIABILITY
99.9%

Production system availability achieved with automated end-to-end Playwright regression suites, multi-stage Docker builds, and CI/CD rollbacks.

✓ PRODUCTION REMEDY · ZERO-REGRESSION CI/CD

Automated GitHub Actions pipelines, containerized staging mirrors, automated Playwright/Jest smoke testing, and instant rollback triggers.

Setup Edge CI/CD → Implement SQA Automation →
Untested Edge Regressions 24% post-deploy bugs

Deploying without automated cross-browser Playwright suites that verify critical user conversion paths and third-party API contracts.

Bloated Container Images 1.4GB container footprint

Unoptimized single-stage Dockerfiles leaking build-time dev dependencies and slowing down cold deployment spins by 15+ minutes.

Manual Disaster Rollback 45min MTTR

Absence of automated health-check alarms and instant canary rollbacks resulting in prolonged user-facing service outages.

FEATURED WORK · 9 PRODUCTION SYSTEMS

Engineered with sub-second latency, rigorous testing, and live deployment.

Every system below features clean architectural separation, verified GitHub repository source code, and active live production instances.

THESIS RESEARCH · 95.4% PRECISION ✓ VERIFIED BENCHMARK

IFDL — Image & Video Forgery Detection Lab

COMPUTER VISION · PYTORCH · RESNET-50 · FFT SPECTRAL · FASTAPI

Primary thesis research engineered to expose synthetic deepfakes, face-swap manipulations, and generative diffusion artifacts. Employs a dual-stream CNN combining spatial pixel analysis with frequency-domain Fast Fourier Transform (FFT) analysis to uncover upsampling anomalies missed by conventional classifiers.

PyTorch TensorFlow OpenCV ResNet-50 FFT Frequency FastAPI Docker GPU
Google Drive FYP Folder ↗ GitHub Repository
IFDL Deepfake Detection Lab
• Live Model Telemetry Active
GLOBAL TRAVEL INTELLIGENCE
Schengen Desk
schengen-desk.vercel.app • Live ✓
FULL-STACK WEB · NEXT.JS 14 99+ Vitals

Schengen Desk — Visa & Travel Intelligence

Production web platform engineered for real-time European Schengen visa calculations, requirements analysis, multi-country stay tracking, and interactive policy guidelines with edge SSR speed.

Next.js 14 React 19 TypeScript Tailwind CSS Vercel Edge
Live Production → GitHub
MULTI-LLM STUDIO
AI Content Generator
ai-content-generator.vercel.app • Live ✓
GENERATIVE AI · STREAMING API Sub-Second Stream

AI Content Generator — Multi-Model Studio

Full-stack generative AI content workstation integrating OpenAI GPT-4 and Anthropic Claude APIs. Features dynamic prompt engineering, tone adjustment, markdown export, and SSE streaming token responses.

React Vite Node.js OpenAI API SSE Streaming
Live Production → GitHub
BROWSER CLOUD IDE
Waleed Code Editor
waleed-editor.vercel.app • Live ✓
DEVELOPER TOOLING · MONACO Zero-Sandbox Lag

Cloud Code Editor & Live Sandbox

In-browser cloud code IDE powered by Microsoft Monaco Editor. Features real-time syntax linting, HTML/CSS/JS execution engine, responsive split preview, and instantaneous client-side evaluation.

Monaco Editor JavaScript Web Workers Sandboxing Vercel
Live Production → GitHub
FINTECH & COMMERCE
Aura Market
aura-market.vercel.app • Live ✓
E-COMMERCE · STRIPE · POSTGRES PCI Compliant

Aura Market — Headless E-Commerce System

High-performance headless e-commerce store with Stripe payment processing, PostgreSQL database with Prisma ORM, Redis session cart persistence, and instant catalog search filtering.

Next.js 14 PostgreSQL Prisma ORM Stripe API Redis
Live Production → GitHub
PREDICTIVE ANALYTICS
Nexus Analytics Hub
nexus-analytics-hub.vercel.app • Live ✓
DATA SCIENCE · PYTHON · FASTAPI 10x Vectorized

Nexus Analytics — Streaming ML Forecasting

Interactive predictive analytics workstation built with Python, Pandas, NumPy, and Scikit-learn. Delivers multi-variate time-series forecasting, automated cohort segmentation, and Apache Arrow data streaming.

Python 3.12 Pandas Scikit-learn FastAPI Apache Arrow
Live Production → GitHub
MULTI-AGENT COORDINATION
OmniFlow Agent
omniflow-ai.vercel.app • Live ✓
AUTONOMOUS AGENTS · LANGGRAPH Self-Correcting DAG

OmniFlow — Multi-Agent Workflow Engine

Autonomous multi-agent execution orchestrator designed with LangGraph and Python. Implements dynamic branch delegation, tool-use state machines, automated code generation, and iterative execution verification.

LangGraph LangChain Python WebSockets State Graph
Live Production → GitHub
ENTERPRISE RAG
DocuMind RAG
documind-rag.vercel.app • Live ✓
KNOWLEDGE BASE · CHROMADB Zero Hallucinations

DocuMind — Enterprise Vector Knowledge Assistant

Retrieval-augmented generation knowledge engine supporting PDF/document ingestion, semantic chunking, ChromaDB vector indexing, cross-encoder reranking, and exact source attribution citations.

ChromaDB OpenAI Embed Semantic Chunks FastAPI Cross-Encoder
Live Production → GitHub
INFRASTRUCTURE TELEMETRY
Pulse Sentinel
pulse-sentinel.vercel.app • Live ✓
DEVOPS MONITORING · WEBSOCKETS 99.99% Availability

Pulse Sentinel — Cloud & Microservice Prober

Lightweight real-time uptime and API latency monitoring service with multi-region edge pinging, WebSocket streaming dashboards, SSL expiration tracking, and automated incident alert webhooks.

Node.js WebSockets Docker Redis PubSub Vercel Edge
Live Production → GitHub
ENGINEERING METHODOLOGY

From rigorous architecture to continuous verification.

How every production system is engineered, benchmarked, and deployed with zero-regression guarantees. No untested shortcuts, no bloated abstractions.

• SYSTEM GUARANTEE

100% test coverage on critical API paths, deterministic schema validations, and automated rollback triggers on production deployments.

01
ARCHITECTURE STAGE 01

Domain Discovery & Architectural Blueprints

Database normalization, entity relationships, API contract specifications, threat modeling, and latency budgeting. Choosing the optimal balance between edge rendering and microservice compute.

02
CORE BUILD STAGE 02

Full-Stack Implementation & ML Model Training

Writing typed TypeScript components, structuring Python/FastAPI microservices, training deep learning architectures (IFDL ResNet-50 / FFT), and configuring vector embedding stores with sub-second retrieval.

03
VERIFICATION STAGE 03

Automated SQA & Synthetic Stress Testing

Executing Playwright end-to-end browser journeys, PyTest unit suites, load concurrency stress tests, and Core Web Vitals audits to verify sub-second performance under peak traffic.

04
DEPLOY & SCALE STAGE 04

Edge Cloud Deployment & Continuous Observability

Deploying containerized Docker images and Next.js Vercel Edge networks with GitHub Actions CI/CD workflows, automated rollback triggers, and live telemetry health probes.

ENGINEER COMMAND LINE INTERFACE

Query the system directly via developer console.

Interact with the live station terminal. Query background specs, thesis research, tech stacks, or trigger the project planner directly from the prompt.

waleed@systems-station:~
BASH · UTF-8 · LIVE
[SYS_INIT] Muhammad Waleed Madni — Systems & AI Engineering Station v2.6.4
Connected to station: 127.0.0.1:3000 | Status: Optimal | Type 'help' for available commands.
Try typing: skills, projects, thesis, contact, or hire.
waleed@station:~$
2+
YEARS PRODUCTION EXPERIENCE

Freelance & company full-stack engineering and deep learning systems.

9+
PRODUCTION SYSTEMS DEPLOYED

Live Vercel edge applications and verified open GitHub code repositories.

95.4%
IFDL DETECTION PRECISION

Thesis deep learning benchmark on synthetic deepfake frequency analysis.

99+
CORE WEB VITALS SCORE

Sub-second server response, zero layout shift, and instant interaction.

START AN ARCHITECTURAL ENGAGEMENT

Have a high-stakes digital platform or AI architecture to engineer?

Available for full-stack product builds, specialized machine learning contracts, and senior technical retainers. Expect structured architecture, clean repositories, and sub-second execution.

Direct Email: madnikmadni@gmail.com
✓ 2+ Years Experience • ✓ Response within 4 Hours • ✓ Direct WhatsApp Available