I am a Software Engineer and Graduate Student pursuing a Master of Science in Artificial Intelligence Systems at the University of Florida (Aug 2025 – Jun 2027). With 3+ years of professional experience at Accenture and Temenos, I am passionate about designing scalable, intelligent systems that combine cloud infrastructure, AI, and automation to drive business transformation.
- 🔭 Currently working on AI-powered applications and ML infrastructure
- 🌱 Learning advanced deep learning, generative AI, and MLOps
- 💡 Interested in Responsible AI, Generative AI, Model Deployment, and Cloud-Native AI Solutions
- 📫 Reach me at: harshal27patel@gmail.com
- 📍 Based in Gainesville, Florida, USA
Dec 2024 – Aug 2025 | Bengaluru, India
- Built scalable web applications and microservices processing 10M+ records daily with 99.9% uptime
- Developed RESTful APIs and data pipelines with Python and Docker, reducing API response time by 40%
- Architected ML infrastructure automation using AWS, reducing model deployment latency by 30%
- Optimized CI/CD pipelines with GitHub Actions, enabling teams to ship production features 2x faster
Sep 2021 – Dec 2024 | Bengaluru, India
- Shipped backend services for banking applications handling 100K+ transactions daily
- Designed REST APIs with Redis caching, achieving 60% reduction in query response time
- Refactored monolithic architecture into microservices, improving scalability to handle 3x peak traffic
- Built automated testing framework with 85%+ code coverage, reducing production bugs by 45%
- Applied ML for anomaly detection in banking systems, improving fraud detection by 25%
Tech Stack: Python, AIF360, LIME, SHAP, Streamlit, Docker, Prometheus
- Developed ML fairness auditing platform evaluating 15+ metrics with 92% accuracy
- Built production web application serving 1,000+ users with real-time data visualization
- Implemented monitoring infrastructure with Prometheus and Grafana, processing 10K+ analysis requests
- Designed automated compliance reporting with PDF generation and Slack alerts
Tech Stack: Python, Google Gemini 2.0, Flask, OpenCV, U2Net, Streamlit
- Engineered multimodal AI application enabling users to visualize 78,000+ fashion items
- Implemented computer vision pipeline with U2Net segmentation achieving 95% garment detection accuracy
- Processing 1,000+ user requests with sub-3-second response time
- Implemented Redis caching layer reducing API costs by 40%
Tech Stack: Python, n8n, OpenAI API, DALL-E, LinkedIn API
- Architected automated content generation system generating and scheduling 120+ posts monthly
- Built end-to-end automation pipeline with error handling and retry mechanisms
- Reduced content creation time by 90% while maintaining 99% successful publish rate
Tech Stack: Python, Scikit-learn, Ensemble Methods, Feature Engineering
- Built supervised learning pipeline achieving 88.1% accuracy on 500+ matches
- Published research paper at International Conference on Intelligent Computing (ICIIC-2021)
- Implemented SVM, Random Forest, and Logistic Regression with hyperparameter optimization
- 🔹 Deep Learning Specialization (NVIDIA)
- 🔹 AWS Cloud Technical Essentials
- 🔹 Introduction to Kubernetes
- 🔹 Azure AI Fundamentals
- 🔹 Google Cloud Platform Fundamentals: Core Infrastructure
- 🔹 Python for Data Science, AI & Development
"Prediction of IPL Match Outcome Using Machine Learning"
International Conference on Intelligent Computing (ICIIC-2021)
Comparative analysis of supervised learning algorithms achieving 88.1% accuracy with feature selection and ensemble methods.
Master of Science in Artificial Intelligence Systems
University of Florida, Gainesville, FL | Aug 2025 – Jun 2027
GPA: 3.78/4.0
Bachelor of Technology in Computer Science and Engineering
Visvesvaraya Technological University, Karnataka, India | Aug 2017 – Sep 2021
GPA: 3.9/4.0
- 🤖 Responsible AI & Model Deployment
- ☁️ Cloud-Native AI Solutions
- 🔧 AI Infrastructure Automation
- 🧠 Deep Learning & Neural Networks
- 🎨 Generative AI
- 📊 MLOps & Model Monitoring
I'm always open to interesting conversations and collaboration opportunities. Feel free to reach out!
⭐️ From Harshal Anil Patel
"Building Scalable Software, ML Systems & Cloud Solutions"