Devatha Chandini Sri Sai Gayathri
Summary
Results-driven Software Engineering Intern at Morgan Stanley, adept in Python and API integrations. Enhanced operational efficiency by 50% through automation and streamlined deployment processes. Skilled in technical documentation and Agile methodologies, fostering collaboration and knowledge sharing among teams. Committed to delivering high-quality solutions with a focus on data integrity and performance optimization.
Overview
1
1
year of professional experience
1
1
Certification
Work History
Software Engineering Intern
Morgan Stanley
08.2024 - 08.2025
- Software Development & Problem Solving : Refactored Python connector code using data structures and debugging techniques to improve scalability, database connectivity, and maintainability in an Agile environment.
- Deployment and Process Automation: Automated Autosys job deployments (Dev/QA & Prod) using JIL, YAML, and AutoSDLC tool, reducing manual effort and turnaround time for 50+ developers.
- Technical Support & Operations: Provided technical support for troubleshooting, API integration, and performance tuning, ensuring smooth database connectivity and service availability.
- Automation & Testing: Built Python, JIL based integration tests and real-time alert systems, improving operational efficiency by 50% and ensuring accurate data processing.
- Documentation & Knowledge Sharing: Created technical documentation and contributed to internal knowledge bases, improving team efficiency and self-service enablement.
- Version Control & Collaboration: Managed Git repositories and collaborated using structured branching and pull requests to streamline versioning and code reviews.
- Communication & Teamwork: Worked closely with stakeholders on project planning and execution while demonstrating strong communication and interpersonal skills.
Education
Integrated M.Tech - Computer Science and Engineering
Vellore Institute of Technology
08-2025
Skills
- Programming Languages: Python, Java, SQL, Job Information Language
- Core Competencies: Data Structures and Algorithms, OOPS, Problem Solving, Communication
- Backend Development: RESTful API Design, Flask (learning), API Integration, Database Connectivity
- Database Technologies: SQL, Query Optimization, Relational Databases, Database Design
- Automation and Scripting: YAML File Scripting, Data Validation
- DevOps & CI/CD Tools: Git, Bitbucket, Jenkins, Cron Job Automation, Jira, and Autosys
- Visualization Tools: Power BI, Tableau, Excel, and Dashboards
- Agile Methodologies: Scrum, Kanban
Certification
Microsoft Security Compliance and Identity Fundamentals
Academic Projects
- Sentimental Analysis on USA Airlines,
Techstack: Python, Keras, TensorFlow, Twitter API, Pandas
Developed a Python-based NLP pipeline to classify 1M+ airline tweets daily into sentiment categories, achieving 40% accuracy and uncovering trends to enhance customer satisfaction.
- SignSense: Decoding the language of hands
Techstack: Python, TensorFlow, Keras, OpenCV, Convolutional Neural Networks (CNN)
Engineered a real-time image pipeline using CNNs to recognize sign language gestures with 60% accuracy using data augumentation , applied deep learning techniques to improve processing efficiency by 80% through optimized preprocessing.
- Virtual Canvas - an ideal mouse alternative
Techstack: Python, OpenCV, MediaPipe, PyAutoGUI
Built a Python-based data processing system using OpenCV and MediaPipe to control the mouse with hand gestures, enhancing human-computer interaction by 70% through real-time hand tracking, gesture recognition, enabling customizable features, and on-air writing
Timeline
Software Engineering Intern
Morgan Stanley
08.2024 - 08.2025
Integrated M.Tech - Computer Science and Engineering
Vellore Institute of Technology
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