SuryaTeja Gorthi
Generative AI Developer | Data Engineer | Cloud Developer | Cybersecurity Analyst | Full Stack Develope
Professional Summary
Generative AI Developer and Data Engineer with experience building production-oriented AI workflows, RAG pipelines, and enterprise automation across regulated environments. Skilled in Azure OpenAI (GPT-4o), embeddings, LangChain, REST API integration, Power Automate (Cloud/Desktop), Power BI, and Microsoft SQL Server. Currently pursuing a Master of Cybersecurity at Toronto Metropolitan University with completed coursework in Information Assurance, Privacy Law & Ethics, and Security Technologies.
Work Experience
Generative AI Developer – Tata Consultancy Services (Client: Manulife) Jun 2025 – Jan 2026
- Designed and delivered enterprise Generative AI workflows combining RAG, embeddings, and REST API integrations.
- Built Python + LangChain orchestration pipelines and grounded LLM outputs to reduce hallucinations.
- Automated end-to-end processes using Power Automate Cloud Flows and Desktop (RPA) flows.
- Enabled AI-assisted reporting and analytics workflows across Power BI and enterprise data sources.
Data Engineer Intern – Ontario Power Generation May 2023 – May 2024
- Built and maintained enterprise Power BI dashboards supporting operational reporting in a regulated environment.
- Developed and optimized ETL pipelines loading large-scale datasets (millions of records) into SQL Server.
- Created Power Apps solutions for data collection, validation, and workflow automation.
- Improved dashboard refresh reliability and performance through query and model optimization.
Software Developer – Brilliant Catalyst, Ontario Tech University
Nov 2022 – Apr 2023
- Developed a mobile-first gym training application to track exercises, workouts, and calories burned.
- Implemented core application features using Flutter, including workout logging and user interaction flows.
- Built backend logic and data handling using Firebase and Python for fitness metric calculations.
- Worked in a team of three as part of a structured apprenticeship, following Agile development practices.
- Delivered and iterated on MVP prototypes based on testing and stakeholder feedback.
Selected Projects
AI Code Analyzer Dashboard
GitHub
- Built a GPT-powered code analysis dashboard to identify risky patterns across Python, Ruby, and JavaScript.
- Implemented automated static analysis and AI-based recommendations for code quality improvement.
- Visualized findings using interactive dashboards with Chart.js.
By-Laws Municipal Mobile App
GitHub
- Developed a React Native civic application for reporting municipal by-law violations.
- Implemented on-device machine learning for image tagging and violation type prediction.
- Integrated Firebase for authentication, storage, and real-time data synchronization.
NebulaCore – AI Trading Platform
GitHub
- Designed a modular, microservice-based trading platform for market simulation and strategy testing.
- Built predictive ML components for trend analysis and simulated trade execution.
- Containerized services using Docker to support scalable experimentation.
Weather Forecast Simulation Platform
GitHub
- Implemented a weather forecasting system using ARIMA models and Monte Carlo simulations.
- Generated multi-city prediction dashboards to visualize forecast uncertainty.
Food Planning & Budgeting Mobile App
GitHub
- Developed a Flutter mobile application for meal planning, calorie tracking, and budget management.
- Integrated Firebase backend services for authentication and real-time data storage.
Education
Master of Cybersecurity Sept 2025 – Present
Toronto Metropolitan University, Toronto, ON
Completed Coursework: Information Assurance, Privacy Law & Ethics, Security Technologies
Focus: Secure Systems, Digital Trust, Public Infrastructure Security
Bachelor of Software Engineering (Honours) Sept 2020 – May 2025
Ontario Tech University, Oshawa, ON
Relevant courses: Cloud Computing, Security, Distributed Systems, Data Engineering, UI/UX, Mobile Development
Honors: President’s List (2020), Dean’s List (2024)
Certifications
- Google Data Analytics Professional Certificate – Google (2024)
- 3rd Place – Data Fusion Challenge (2025)
Technical Skills
- Languages: Python, Java, C, C++, C#, JavaScript/TypeScript, SQL, Dart
- Frameworks/Tools: React, React Native, Flutter, FastAPI, Spring Boot, Node.js, Firebase, .NET, Power Apps
- Cloud/DevOps: GCP (Dataflow, BigQuery, Pub/Sub), AWS (S3, Lambda), Docker, Kubernetes, Terraform, GitHub Actions, CI/CD
- Data/ML: TensorFlow, scikit-learn, Apache Beam, Power BI, Pandas, ETL Pipelines
- GenAI/Automation: Azure OpenAI (GPT-4o), RAG, Embeddings, LangChain, Copilot Studio, Power Automate (Cloud/Desktop), REST APIs
- Security/Testing: OAuth2, JWT, Firestore Rules, SQL Injection Defense, Postman, JUnit, Pytest