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Hi, I'm Syed Waquas 👋

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I build intelligent systems that are not only smart and scalable, but also secure and production-ready. Passionate about AI Security, Federated Learning, and Cloud-Native ML Pipelines.

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Years Experience
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Projects Done
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Certifications
Syed Waquas
AI Expert
Security

Skills & Expertise

I specialize in building intelligent systems across multiple domains with cutting-edge technologies

Data Science & AI

TensorFlow PyTorch Python OpenCV Keras
  • Developed scalable ML models in NLP, computer vision & federated learning
  • Implemented adversarial ML defenses & explainable AI for secure systems
  • Delivered 90%+ accurate NLP models on healthcare datasets
  • Built AI security labs with reproducibility & cloud deployment

Full Stack Development

React Node.js Flutter JavaScript Flask
  • Built full-stack web & mobile apps using React, Node.js, and Flask
  • Designed REST APIs, user dashboards, and secure authentication systems
  • Integrated SQL/NoSQL databases and cloud-hosted backend systems
  • Created NLP-based apps and model-serving endpoints

Cloud Infrastructure

GCP AWS Azure Docker K8s
  • Deployed scalable ML apps using Docker, Kubernetes & CI/CD pipelines
  • Built ETL workflows with Apache Airflow, Spark, and Azure Data Factory
  • Used AWS/GCP/Azure for model serving, monitoring, and auto-scaling
  • Managed data pipelines across cloud storage, Kafka streams & databases

UI/UX Design

Figma XD Illustrator Inkscape
  • Designed intuitive UIs for web & mobile using Figma and Adobe XD
  • Created custom illustrations, logos, and icon sets from scratch
  • Focused on accessibility, clean layout, and responsive experiences
  • Designed user flows for AI dashboards and analytics tools

Education

Academic qualifications and professional certifications that shaped my expertise

MSc Artificial Intelligence & Big Data

Anglia Ruskin University
2023 - 2025 | Cambridge, UK

Focused on core modules including Machine Learning, Advanced Machine Learning, Deep Learning, Natural Language Processing, and Web Semantic Technologies.

  • Gained hands-on experience in Big Data Analytics, Data Mining, and cloud-based AI solutions
  • Developed practical expertise in ethical AI, research methodologies, and deploying scalable AI models
  • Recognized for outstanding performance with research role offers from academic supervisors
ARU

B.Tech Computer Science & Engineering

Dr. Babasaheb Ambedkar Technology University
2019 - 2022 | Maharashtra, India

Built a strong foundation in computer science fundamentals, including Data Structures, Algorithms, Database Management, Operating Systems, and Computer Networks.

  • Completed coursework in Machine Learning and Deep Learning
  • Published research paper on "Haptic Technology Assistance for Disabled People"
  • Served as Vice President of the departmental student forum
BATU

Diploma in Mechanical Engineering

Maharashtra State Board of Technical Education
2012 - 2015 | Maharashtra, India

Developed a solid technical foundation in mechanical design, thermodynamics, fluid mechanics, manufacturing processes, and engineering drawing.

  • Completed internships focused on designing prototypes and 3D printing
  • Acquired hands-on experience with CAD tools and mechanical systems analysis
  • Built multidisciplinary base supporting transition into computer science
MSBTE

Professional Certifications

Introduction to Data Science

Infosys

Industry 4.0 & IoT

IIT Kharagpur

Deep Learning

IIT Kharagpur

AWS Academy Machine Learning Foundations

Amazon Web Services

Machine Learning, Deep Learning & Data Science

Udemy

The Web Development Bootcamp

Udemy

Google Digital Garage Certification

Google

Cybersecurity Foundations

LinkedIn

Workshops & Awards

Winner – Web Design Competition

P.E.S College of Engineering

Google Maniac – Klystron 2016

MGM University

2D, 3D & VFX Animation Workshop

MAAC

IoT Technology Workshop

N.I.E.L.I.T

Autonomous Robotics – Autobotz 2015

N.I.E.L.I.T

Winner - Crisp Code Competition

Christ University

Experience

Professional journey through work, internships, and volunteering opportunities

Machine Learning Engineer (Research Associate)

Anglia Ruskin University
Jan 2025 – Present | Cambridge, UK
  • Developed comprehensive interactive lab environment showcasing 12+ advanced AI security vulnerabilities using Python, TensorFlow, PyTorch, and Flask microservices architecture
  • Created 15+ educational modules with hands-on exercises and implemented 10+ deliberately vulnerable ML models across classification, NLP, and computer vision domains
  • Engineered sophisticated AI-driven phishing attack frameworks in isolated Linux VM environments with containerized deployment
  • Built high-fidelity attack demonstrations against 5 ML model types with 98% reproducibility rate
  • Integrated adversarial ML visualization tools showing real-time model manipulation

Security Systems Engineer

Anglia Ruskin University
Jan 2025 – May 2025 | Cambridge, UK
  • Developed intrusion detection system with 95% accuracy, processing 10,000+ network flows per minute using Apache Spark and PySpark
  • Designed distributed security network using Raspberry Pi devices integrated with Azure HDInsight Spark clusters
  • Created high-performance security dashboard in PowerBI managing 100+ concurrent connections
  • Enhanced system accuracy by reducing false positives by 75% using federated learning models

Software Engineer

SmartHome Tutors Pvt Ltd
Jan 2016 – May 2019 | Pune, Maharashtra
  • Built and managed data pipelines for processing large-scale datasets using Hadoop and MapReduce
  • Designed data storage solutions with HDFS and HBase, optimizing data retrieval and scalability
  • Created ETL workflows with Apache Pig and Hive for data warehousing
  • Leveraged Apache Spark for distributed data processing supporting real-time analytics

Machine Learning Intern (Remote)

smallcap.ai
Jul 2024 – Oct 2024 | London, UK
  • Developed, trained, and optimized ML models using Random Forest, XGBoost, and CNNs, improving accuracy by 15-25%
  • Utilized Python (NumPy, Pandas, Matplotlib, SciPy, Seaborn) for EDA, reducing data biases by 20%
  • Built ETL pipelines and complex SQL queries for efficient data operations
  • Deployed models using Docker, Kubernetes, and Flask on AWS, GCP, and Azure

Data Analyst Intern (Remote)

Skyme Pty Ltd
Jul 2022 – Jul 2023 | Melbourne, Australia
  • Designed ETL pipelines using Apache Spark and Hadoop for large-scale data processing
  • Optimized SQL queries for extracting and transforming data from MySQL and PostgreSQL
  • Developed scalable data workflows on AWS using S3, Redshift, and Lambda functions
  • Engineered real-time streaming pipelines using Apache Kafka and Apache Flink

Vice President

FORCES - Forum of Computer Science & Engineering Students
2021 – 2022 | Aurangabad, India

Led and coordinated technical events, seminars, and student engagement activities at PES College of Engineering. Organized national-level coding competitions, workshops on AI, cybersecurity, and web development, and facilitated expert guest lectures. Spearheaded initiatives including hackathons and mini-project showcases, encouraging a culture of hands-on learning and technical excellence.

Donation Volunteer

Jan Vikas Society
May 2015 – Nov 2015 | Aurangabad, India

Successfully collected approximately ₹34,000 INR through fundraising initiatives and community outreach efforts. Engaged with donors, organized awareness campaigns, and contributed to planning and execution of fundraising events, all on a voluntary basis to support the NGO's mission.

Featured Projects

A showcase of my work across AI/ML, web development, mobile apps, and research

AI Security LabCompleted

AI Security Lab Environment

Comprehensive interactive educational platform showcasing 12+ advanced AI security vulnerabilities with hands-on exercises for university students.

PythonTensorFlowPyTorchFlaskDocker
SiroccoCompleted

Sirocco Wind Farm Cybersecurity Simulation

Real-time wind farm cyber-physical simulation platform using IoT and ML models to detect and visualize power grid anomalies.

Raspberry PiReactPythonML
Federated LearningCompleted

Federated Learning with Multi-Client Aggregation

Simulated federated learning framework using 4 distinct user datasets with local training and central model aggregation.

TensorFlow FederatedPythonPrivacy-ML
Completed

Healthcare NLP Analytics

Advanced NLP models for healthcare data analysis achieving 90%+ accuracy using transformer architectures and explainable AI.

BERTTransformersPyTorchFastAPI
Completed

Computer Vision Anomaly Detection

Deep learning system for detecting anomalies in manufacturing using CNN architectures with 95%+ accuracy.

OpenCVCNNPyTorchYOLO
Completed

Sentiment Analysis API

Production-ready sentiment analysis API using BERT transformers for social media monitoring with multi-language support.

BERTFastAPIDockerRedis
PranaLive

Prana Indian Restaurant – Digital Optimization

Led SEO improvements, managed Google Business ranking, developed booking system, and ran digital marketing campaigns.

SEOGoogle BusinessBookingMeta Ads
A&ALive

A&A Security – Web & Digital Branding

Designed and developed company website, created branded digital content to boost visibility and client engagement.

Web DesignSEOBranding
Soul TreeLive

Soul Tree – E-commerce & Branding

Designed brand website on Shopify with integrated payment gateways and social media integration.

ShopifyWeb DesignPayment Integration
Completed

AI-Powered Health Tracker

Cross-platform mobile application using Flutter that tracks health metrics and provides AI-driven insights.

FlutterDartFirebaseTensorFlow Lite
Completed

Language Learning Assistant

Android app with speech recognition and NLP features to help users learn new languages interactively.

KotlinAndroid SDKSpeech APIML Kit
Completed

Smart Document Scanner

Mobile app using computer vision to detect, crop, and enhance document photos with OCR text extraction.

React NativeOpenCVTesseract OCR
Completed

ETL Pipeline for Financial Data

Scalable data pipeline processing millions of financial transactions with automated data quality checks.

Apache AirflowPythonPostgreSQLDocker
Completed

Sales Forecasting Model

Time series forecasting model using LSTM networks to predict sales trends with 92% accuracy.

LSTMProphetStreamlit
Completed

Customer Segmentation Analysis

Advanced clustering analysis using K-means and DBSCAN to identify customer segments for marketing.

K-meansDBSCANPCA
Published

Haptic Technology for Disabled People

Research paper on assistive haptic technology solutions for people with disabilities, published in academic journal.

ArduinoC++SensorsResearch
In Progress

Adversarial ML Defense Mechanisms

Research on novel defense strategies against adversarial attacks on machine learning models.

PyTorchAdversarial MLLIMESHAP
Completed

Privacy-Preserving ML Study

Comprehensive analysis of privacy-preserving techniques including differential privacy and secure computation.

Differential PrivacyPythonTF Privacy
Published

ML Security Toolkit

Open-source Python library for testing and securing machine learning models against attack vectors.

PythonPyPITensorFlow
Published

LeetCode Solutions Repository

Comprehensive collection of LeetCode solutions with detailed explanations and complexity analysis.

PythonAlgorithmsData Structures
Published

Hugging Face Model Collection

Collection of fine-tuned transformer models for various NLP tasks with comprehensive documentation.

TransformersBERTHugging Face
Published

Kaggle Competition Solutions

Repository of high-performing Kaggle solutions with detailed notebooks and methodology explanations.

PythonPandasXGBoost

Contact Me

I'm available on almost every social media. Message me and I'll reply within 24 hours.

Let's Connect

Location

Cambridge, United Kingdom

Response Time

Usually within 24 hours

Specialization

ML, AI, React, Cloud & Open Source

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📝 My Blog

I share my experiences and technical knowledge on my blog.

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