Available for Opportunities

Hi, I'm Syed Waquas 👋

AI/ML Engineer & Data Scientist

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.

5+
Years Experience
50+
Projects Done
15+
Certifications
Syed Waquas
AI Expert
Innovator
What I Do

Skills & Expertise

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

Data Science & AI

TensorFlow TensorFlow PyTorch PyTorch Python Python OpenCV OpenCV Keras 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 React Node.js Node.js Flutter Flutter JavaScript JavaScript Flask 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 GCP AWS AWS Azure Azure Docker Docker Kubernetes 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 Figma Adobe XD XD Illustrator AI Inkscape 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
Academic Journey

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

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

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
Professional Growth

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
Achievements

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
Career Path

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.

Portfolio

Featured Projects

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

AI Security Lab
Completed

AI Security Lab Environment

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

Python TensorFlow PyTorch Flask Docker
Sirocco Wind Farm
Completed

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 and cyber-attacks.

Raspberry Pi React Python ML
Federated Learning
Completed

Federated Learning with Multi-Client Aggregation

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

TensorFlow Federated Python Privacy-ML
Completed

Healthcare NLP Analytics

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

BERT Transformers PyTorch FastAPI
Completed

Computer Vision Anomaly Detection

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

OpenCV CNN PyTorch YOLO
Completed

Sentiment Analysis API

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

BERT FastAPI Docker Redis
Prana Restaurant
Live

Prana Indian Restaurant – Digital Optimization

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

SEO Google Business Booking System Meta Ads
A&A Security
Live

A&A Security – Web & Digital Branding

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

Web Design SEO Branding
Soul Tree
Live

Soul Tree – E-commerce & Branding

Designed brand website on Shopify, set up online store with integrated payment gateways, and managed social media integration.

Shopify Web Design Payment Integration
Completed

AI-Powered Health Tracker

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

Flutter Dart Firebase TensorFlow Lite
Completed

Language Learning Assistant

Android application with speech recognition and NLP features to help users learn new languages through interactive conversations.

Kotlin Android SDK Speech API ML Kit
Completed

Smart Document Scanner

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

React Native OpenCV Tesseract OCR
Completed

ETL Pipeline for Financial Data

Scalable data pipeline processing millions of financial transactions with automated data quality checks and real-time analytics.

Apache Airflow Python PostgreSQL Docker
Completed

Sales Forecasting Model

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

LSTM Prophet Streamlit
Completed

Customer Segmentation Analysis

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

K-means DBSCAN PCA
Published

Haptic Technology for Disabled People

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

Arduino C++ Sensors Research
In Progress

Adversarial ML Defense Mechanisms

Research on novel defense strategies against adversarial attacks on machine learning models with focus on explainable AI and robustness.

PyTorch Adversarial ML LIME SHAP
Completed

Privacy-Preserving ML Study

Comprehensive analysis of privacy-preserving techniques in machine learning including differential privacy and secure multi-party computation.

Differential Privacy Python TensorFlow Privacy
Published

ML Security Toolkit

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

Python PyPI TensorFlow
Published

LeetCode Solutions Repository

Comprehensive collection of LeetCode problem solutions with detailed explanations, multiple approaches, and complexity analysis.

Python Algorithms Data Structures
Published

Hugging Face Model Collection

Collection of fine-tuned transformer models for various NLP tasks, shared on Hugging Face with comprehensive documentation.

Transformers BERT Hugging Face
Published

Kaggle Competition Solutions

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

Python Pandas XGBoost
Get In Touch

Contact Me

I'm available on almost every social media. You can message me, I will reply within 24 hours.

Let's Connect

Email

hello@waquashashmi.com

Location

Cambridge, United Kingdom

Phone

Available on request

Specialization

ML, AI, React, Android, Cloud and Opensource Development

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My Blog

I like to document some of my experiences in professional career journey as well as some technical knowledge sharing.

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