Vamshi Toramamidi
Computer Science graduate specializing in Data Engineering, Machine Learning, and Software Development.
Professional Experience
Data Engineer Intern
Reinvision Labs Pvt. Ltd.
Telangana, India
May 2024 – Aug 2024
- •Extracted ERP data (Customers, AR, GL) from Oracle EBS using SQL queries based on company-defined criteria, optimizing query performance, resulting in 99% data accuracy during migration.
- •Preprocessed and formatted extracted data into FBDI format by automating scripts for date adjustments, reducing manual effort by 30% and ensuring data readiness.
- •Troubleshot and resolved data import errors by analyzing error logs and collaborating with technical teams, cutting resolution time by 40% and ensuring smooth migration.
Machine Learning Research Intern
Research Centre Imarat (RCI), Defense Research and Development Organization (DRDO)
Telangana, India
June 2023 – Aug 2023
- •Integrated advanced YAMnet into UA Vehicle's Stereo-vision system through SEN-14262 board using external ADC which resulted in Unmanned Aerial Vehicles audio detection and classification.
- •Created and preprocessed audio samples by converting .mp3 files to .WAV format, Normalizing and Extracting features by long mel Spectrogram resulting in improved classification performance of the Model from 0.89 to 0.94.
- •Presented the Project at YODHA Conference and secured 2nd position resulting in deployment of the UAV's at red zones.
Our Work
A showcase of our minimalist designs and creative solutions.
- Optimized frontend performance by implementing code splitting, lazy loading, cookies and efficient state updates, reducing render time and improving load speed.
- Employed unit and integration testing using Jest and React Testing Library, achieving over 90% code coverage and ensuring stability across major feature releases.
- Contributed 369 lines of code for pre-processing of the data, including tokenization using XLM-RoBERTa as a Tokenizer resulted in maintaining Integrity and capture nuanced sentiment effectively by 0.22.
- Collaborated with team members using version control systems such as Git to organize modifications and assign tasks, and for unit testing.
Zero-shot Multilingual Sentiment Analysis
Built the architecture of the model using transformers resulting in attention mechanism to capture the complex relationship between data.
- Analyzed historical sales data to identify seasonal patterns and trends in food consumption.
- Created interactive dashboards allowing stakeholders to visualize demand forecasts and make data-driven decisions.
- Implemented predictive models that improved inventory management and reduced waste by 15%.
Food Forecasting with Tableau
Developed a comprehensive food demand forecasting system using Tableau to predict inventory needs and optimize supply chain operations.
- Preprocessed audio samples by converting .mp3 files to .WAV format and extracting features using mel spectrograms.
- Improved classification performance from 0.89 to 0.94 through feature engineering and model optimization.
- Project was presented at YODHA Conference and secured 2nd position, resulting in deployment in red zones.
UAV Audio Detection System
Integrated YAMnet into Unmanned Aerial Vehicle's stereo-vision system for audio detection and classification.
- Preprocessed medical data by removing duplicates, handling categorical features with LabelEncoder, and balancing the dataset using RandomOverSampler.
- Implemented LightGBM Classifier for training the predictive model, achieving strong accuracy with clear interpretability of results.
- Built a simple test interface for real-time predictions, allowing for practical application in clinical settings.
- Implemented user authentication, article creation, editing, and publishing functionality.
- Developed responsive UI components that closely mimic Medium's reading experience and interaction patterns.
- Integrated a call scheduling system to facilitate communication between writers and editors.
Technical Skills
Languages
Libraries
Data Visualization
Developer Tools
Education
Master's of Science in Computer Science
Seattle University, Washington
Fall 2024 – Present
GPA: 4.0/4.0
Relevant Courses: Software Engineering, Artificial Intelligence, Distributed Systems, Parallel Computing, Linux Operating Systems
Bachelor's of Technology in Computer Science, Specialization in AIML
Gandhi Institute of Technology and Management University, Andhra Pradesh
Fall 2020 – Spring 2024
GPA: 3.6/4.0
Relevant Courses: OOPs, Python, Algorithms, Data Structures, Database Management, Data Mining, Artificial Intelligence, Machine Learning, Computer Architecture, Natural Language Processing, Big Data Analytics, Deep Learning, Operating Systems, Compiler Design, Web Services and Technologies.
Leadership & Extracurricular
Tech Lead and Core Member
Oct 2020 – March 2024
Association for Computing Machinery, Andhra Pradesh, India
- •Hosted 7 workshops on cloud computing, quantum computing, AI-ML by fostering strong connection with influential tech journalists.
- •Significantly boosted attendance and participation at ACM's conferences and workshops by 15%.