About

Hi, I'm Srishti Rath a Software Developer and recent Computer Science graduate from Texas A&M University (May 2024).
I specialize in building data-driven and AI-powered applications, with experience spanning real-time data streaming, machine learning, and cloud-based solutions.
Prior to my Masters, I worked at Ericsson as a Software Developer on the IAM Team developing a real-time data streaming applications using Java/Spring Boot, Kafka, Postgres, Docker, and Elastic Search, which was later incorporated into the Ericsson platform.
My journey also includes developing automated ETL pipelines, and working on projects such as automating course evaluation summarizing with a Ruby-based AI-integrated application for professors at Texas A&M University, handwritten signature verification and artificial machine translation.
I completed my Bachelor of Technology in Computer Science and Engineering at Manipal Institute of Technology, Manipal. (July 2018)
Across research and industry, I have contributed to projects spanning data pipelines, AI, and API integrations, with a passion for building AI-enabled applications, automating tedious tasks, and solving real-world problems through intelligent systems.

  • Birthday: 15 May 1999
  • Phone: +1 979-344-8461
  • City: Austin, TX, USA
  • Email: rathsrishti15@gmail.com

Interests

Software Development

Database

Visualization

Algorithms

Automation

Artificial Intelligence

Data Engineering / Pipelines

Machine Learning

Experience

Texas A&M University

Texas A&M University

Masters in Computer Science

August 2022 - May 2024

Relevant Coursework
  • Software Engineering
  • Analysis of Algorithms
  • Deep Learning
  • Data Mining & Analysis
  • Cloud Computing & Distributed Systems
  • Databases
  • Artificial Intelligence
  • Parallel Computing
Manipal Institute of Technology

Manipal Institute of Technology

B.Tech in Computer Science (Big Data)

July 2018 - July 2022

Relevant Coursework
  • Database Management Systems
  • Operating Systems
  • Data Structures & Algorithms
  • Parallel Algorithms
  • Object Oriented Programming
  • Computer Architecture

Experience

Professional Summary

Data-driven Software Engineer with experience across data engineering, full-stack development, and applied AI. Skilled in building automated data pipelines, developing interactive web platforms, deploying scalable backend systems and building AI-integrated apps. Proven ability to bridge data analytics and software architecture. Passionate about leveraging data to deliver intelligent, efficient, and impactful software solutions.

  • Analyzed and transformed large datasets using SQL, Python, and Excel to extract insights, improve data quality, and support decision-making
  • Designed and developed interactive dashboards and visualizations in Tableau to present trends and key metrics to stakeholders
  • Collaborated with cross-functional teams on real-world data projects, ensuring accurate reporting and clear communication of findings
Python SQL Excel Tableau ETL
  • Orchestrated a 40% increase in user engagement by enhancing the Lacewing Digital Library website through new feature integrations, comprehensive bug resolution, and performance optimization using Microsoft SQL Server and SSIS for reliable data flow and transformation
  • Collaborated extensively with the Entomology Department to gather evolving user requirements, enabling the addition of 15+ new features and interactive components; actively contributed to API schema design to support dynamic content retrieval and improve data accessibility
  • Engineered scalable and maintainable web solutions using .NET, HTML, and CSS, aligning development efforts with academic research objectives and improving user interface responsiveness across devices
  • Reduced post-deployment defects by 60% through test-driven development, rigorous unit and integration testing, and proactive debugging strategies, ensuring a stable and production-ready system
  • Resolved a major deployment failure by analyzing IIS and application logs, identifying database initialization issues, collaborating with team members for root cause analysis, and documenting the resolution process to prevent recurrence
.NET HTML SQL Server JavaScript SSIS Debugging
  • Collaborated within an Agile team of 4 to develop a Java/Spring Boot-based Trigger Handler application for real-time data streaming using Kafka, PostgreSQL, and Elasticsearch, leading to up to 40% latency reduction and 30% throughput gain in production environments
  • Enhanced the application for the Ericsson IoT Platform, contributing to the design and implementation of scalable test automation frameworks that improved testing efficiency by 85% and met evolving stakeholder requirements
  • Integrated Prometheus for observability, enabling real-time system monitoring and proactive performance tuning across deployment environments
  • Utilized Docker and Docker Compose to containerize the application and manage multi-service environments, ensuring consistent development, testing, and production workflows
  • Streamlined Agile workflows via JIRA, contributing to a 20% increase in operational efficiency through improved sprint tracking, issue triaging, and team collaboration across India and Sweden
Java Spring Boot Kafka Agile PostgreSQL Docker Prometheus
  • Designed and implemented a TF-IDF based Sentiment Analysis model using Python (Scikit-learn, Pandas, Keras) to categorize over 10,000+ customer reviews into positive, negative, or neutral classes, enabling more accurate sentiment tracking for product and service evaluations
  • Utilized Matplotlib and Seaborn to visualize sentiment distribution, time trends, and keyword importance across customer feedback, assisting product managers in prioritizing feature improvements
  • Enabled rapid resolution of 120+ critical service complaints by surfacing negative feedback trends early, leading to actionable recommendations and enhanced client satisfaction metrics
  • Maintained comprehensive documentation of the NLP pipeline, including preprocessing steps (stop-word removal, lemmatization), TF-IDF vectorization, model training, and evaluation metrics, supporting easy reproducibility and knowledge transfer
Python Scikit-learn Pandas Matplotlib Seaborn

Projects

Artwork Viewer

GPT-Powered Chatbot

Grocery Comparison

ETL Pipeline with AI-Chatbot for Stocks Data

AI-Intagrated Course Evaluation Summarizer

Machine Translation with "artificial" Language

Handwritten Signature Identification

Parallel Computing-Strassen’s Matrix-Multiplication

Skills

Programming Languages

Python C/C++ Java TypeScript Ruby MySQL

Databases & Data Tools

Postgres SQL MongoDB Pandas Numpy Matplotlib

Frameworks & Libraries

Spring FastAPI React .NET JUnit Selenium PyTorch TensorFlow Scikit-learn Keras LangChain Git Postman Git Linux Jupyter VS Code

Machine Learning Expertise

Transformers
CNNs
RNNs
LLMs
Transfer Learning
Imitation Learning
Attention Mechanisms
Hyperparameter Optimization

Web & Systems

HTML CSS Linux Kafka Elasticsearch Prometheus

Software Development Tools & Cloud/DevOps

Postman Docker Git Linux AWS Heroku REST Jupyter VS Code

Relevant Coursework

Artificial Intelligence
Data Mining
Database Management
Software Development
Operating Systems
Parallel Computing
Machine Learning

Contact

My Address

Austin, TX, USA

Social Profiles

Email

rathsrishti15@gmail.com

srish15@tamu.edu

Contact

+1 979-344-8461