Hi, I'm Tejanmayi Gummaraju
Software Engineer
I'm a passionate software engineer with expertise in building scalable applications and solving complex problems.
About Me
Education
Master of Science in Computer Science
Stony Brook University
GPA: 3.74
Bachelor's in Computer Science and Engineering
Nitte Meenakshi Institute of Technology
GPA: 3.84
Professional Summary
I'm a Software Engineer with a Master's in Computer Science and hands-on experience building scalable backend systems and data tools at startups and research labs. I specialize in Python, Ruby on Rails, SQL, and cloud technologies like AWS and GCP, with a strong focus on designing efficient data models and automation pipelines.
Professional Experience
Software Engineer
- Architected 10+ scalable Ruby on Rails backend features with RESTful APIs, supporting over 10K monthly active users.
- Engineered the revenue-generating 'Watch and Earn' feature, increasing ad engagement by 20% and driving $90K in projected additional revenue.
- Slashed API latency by 75% by optimizing Python microservices and tuning Redshift queries, reducing response time from 40ms to 10ms.
- Automated critical data workflows by building Python-based Airflow ETL pipelines that processed millions of daily events, improving operational efficiency by 20%.
Research Assistant
- Built Python web scrapers with BeautifulSoup for financial data extraction, storing results in MongoDB for efficient querying and analysis.
- Deployed a Named Entity Recognition microservice using OpenAI and Meta APIs via custom Python middleware, cutting API costs by 40% while maintaining 92.8% recall accuracy.
Web and Database Administrator
- Architected scalable ETL pipelines using Python that processed over 1M records, reducing manual data handling by 40%
- Implemented database optimization strategies and query performance tuning, resulting in 30% faster data retrieval for critical administrative applications
- Crafted dynamic web portals using HTML, CSS, JavaScript, and T-SQL to streamline student application profiles.
Software Engineer
- Optimized PostgreSQL database queries through proper indexing and query restructuring, reducing average response time from 200ms to 40ms and boosting system throughput by 160%.
- Developed and deployed real-time system monitoring infrastructure using Prometheus, Grafana, and Python to capture and visualize key metrics.
- Designed and implemented RESTful API gateways with JWT authentication and rate limiting, securely handling 5M+ daily requests while ensuring financial data compliance.
Data Analytics Intern
- Developed a machine learning-powered analytics solution using K-means clustering and feature engineering.
- Automated the analysis of website usage patterns and reduced weekly processing time by 15 hours.
- Designed Power BI dashboards to visualize user behavior insights reducing marketing costs by 25%.
Projects
Secure RESTful Notes and Contacts management service with JWT authentication, CRUD support, rate limiting, retries, and field normalization.
Technologies
Features
- JWT-based authentication
- CRUD operations for Contacts and Notes
- Rate limiting with exponential backoff
- Event-driven note processing using Celery
- Field normalization for note data
- Comprehensive error handling
- Interactive API documentation (Swagger UI)
A full stack mental health assistant web application using React, Node.js, and PostgreSQL, featuring a fine-tuned RoBERTa model for depression classification.
Technologies
Features
- Real-time risk assessment for counselors
- Fine-tuned RoBERTa model for depression classification
- Secure user authentication and data storage
- Responsive and accessible user interface
A cloud-based API for creating, managing, and tracking personalized learning roadmaps with JWT authentication, caching, and detailed analytics.
Technologies
Features
- JWT-based user authentication
- Create, update, and manage personalized learning roadmaps
- Resource management with support for multiple types
- Progress tracking with module completion, achievement system
- Analytics dashboard for progress statistics and resource usage
- Caching for frequently accessed data and optimistic locking
- Interactive API documentation (Swagger UI)
An innovative application that converts speech to Morse code and supports translation across multiple languages.
Technologies
Features
- Support for over 100 languages
- Real-time speech-to-text conversion
- Error handling for language processing
- User-friendly interface
A comprehensive analytics pipeline for music service simulation on GCP, analyzing user behavior and generating visualizations.
Technologies
Features
- Real-time data streaming and processing
- User behavior analysis
- Data Studio visualizations
- Scalable cloud infrastructure
A data pipeline that extracts posts and comments from Reddit's Data Engineering community, processes them using AWS services, and enables trend analysis and community insights through dbt transformations.
Technologies
Features
- Data ingestion from Reddit API
- Data transformation and loading into Redshift
- dbt models for analytics
- Airflow orchestration
- Terraform infrastructure as code
Inspected and diagnosed the optimum preprocessing steps to be applied on liver patients data set achieving 95% accuracy in classification.
Technologies
Features
- Published in ERCICA'20, Vol 1
- Data normalization
- PySwarm optimization
- Feature extraction
- Classification algorithms
- Secured 1st place in poster presentation