Hello there! I'm

Sreenivas Sagili

A passionate developer with 3+ years of expertise in Software Development & Big Data Analytics, loves to build Microservices and leverage DevOps practices to bridge the gap between development and operations, creating efficient and scalable products.

Resume

Eager to Contribute from December 2023!

Currently, working as a Graduate Teaching Assitant at RIT in Big Data Analytics. A Masters in Computer Science student with 3+ years of professional experience in Java, Spring boot, Spring, Python, FLask, NodeJS, SQL. I have a strong interest in the the intersection of Technology and Business. Skills: Here are a few technologies I've been working with recently:
  • JAVA, SPRING
  • PYTHON, FLASK
  • HTML, CSS
  • JavaScript, ReactJs
  • SQL, MongoDB
  • DynamoDB, Cosmos DB
  • Docker, Kafka
  • AWS & Azure Cloud

Experience

Graduate Teaching Assistant - Rochester Institute Of Technology
Jan 2022 - Present
  • Assisted 60 students, evaluated their assignments based on correctness and runtime of their algorithms(classification, clustering) in Big Data Analytics.
  • Designed and evaluated quizzes to reinforce students learning of skills and through weekly check-ins.
  • Empowered students in seamless data sharing within Hadoop clusters on AWS S3 and facilitated ad-hoc data democratization initiatives.
Software Developer - Home Credit India Finance Pvt Ltd
Jun 2019 - Jul 2021
  • As a passionate developer, Implemented best practices for various Web API’s & Data API’s of a micro-services system using Java, Spring, Spring Boot and integrated using MuleSoft Anypoint studio by utilizing the internal framework.Testing: 100% Unit tests coverage.
  • Integrated API’s to the existing front end application using ReactJs. Setup CI/CD pipeline using Jenkins to auto-deploy the API’s in different environments which improved teams efficiency by 34%.
  • Improved applications life time by reducing complexities, duplications and potential bugs in code by integrating Codacy for all the API’s and increased unit test coverage by 37%.
  • Designed innovative dashboards to track application statistics using PowerBI, collaborated effectively with third party vendors to consume their API endpoints and integrate it.
  • Refactored 5 legacy java applications from Java 6 to Java 11.
Software Developer Intern - Assent Technologies
Jan 2018 - Jun 2018
  • Programmed different modules for a medical application using Python & SQL.
  • Collaborated with team members to identify and quickly troubleshoot problems, which reduced the downtime of application by 17% per quarter.
  • Created several data visualizations for medical data using D3.js.
  • Performed web scraping on more than 100 websites to generate datasets as a part of the product roadmap.

Education

2021 - 2023
Master's in Computer Science
Rochester Institute Of Technology, New York
GPA: 3.5 out of 4.0
  • Awarded with maximum Merit Scholarship of 40% by the dean of RIT.
  • Worked as a Graduate Teaching Assistant for Big Data Analytics at Rochester Institute Of Technology.
  • Relevant Academic Coursework: Data Structures and Algorithms, Advanced Object-Oriented Programming, Problem-Solving, Big Data Analytics, NoSQL/NewSQL Databases, Natural language processing, Distributed Systems, Machine Learning, Web Services & System Programming.

Extracurricular Activities

  • Worked as a research volunteer and supported several projects in Big data Analytics under Prof Kinsman.
  • Assistant Vice President for Rotract club from 2016-2017.
2015 - 2019
Bachelor of Science in Computer Science
Vellore Institute of Technology, Vellore
GPA: 8.4 out of 10.0
  • Won 2nd price in a Tech Workship conducted in VIT by IEEE club.
  • Computer Science Courses: Web Progromming, Cloud Computing, Cryptography and Network Security, Computer Programming, Data Structures, Computer Networks, Computer Architecture, Compiler Design, IoT (Internet of Things), Operating Systems, Distributed and Parallel Computing, High Performance Computing, Theory of Computation, Object Oriented Analysis and Design.
  • Data Science Courses: Artificial Intelligence, Web Mining, Big Data Analytics, Content based image analysis, Database Management.

Extracurricular Activities

  • Worked as a research volunteer and supported several projects in Deep Learning under Prof Anuradha.
  • Exemplarily served as the Elected Cultural Association Club Secretary from 2017-2018.

Projects

Stock Price Prediction
Stock Price Prediction
To predict the prices of stock at the smallest level of granularity using Artificial Neural Networks. Containerized extensible data ingestion, with out of the box implementation for the stock data and a neural network based model LSTM, well suitable for the time series data.
Web Service Recommendation
Web Service Recommendation
Recommending a Web Service by incorporating User related, Service related and Topic related Latent latent factors.
Ecommerce Database System Using SQL & NoSQL
Ecommerce Database System Using SQL & NoSQL
An E-commerce application developed by leveraging the transactional properties from SQL & faster data retrival properties from MongoDB.
House Price Prediction
House Price Prediction
A web-based house price prediction application with accurate estimates based on location, area, total_sqft, bhk, and bath inputs.

Achievements

AWS Developer Associate
Certified Amazon Web Services Developer Associate by Amazon.
Microsoft Azure Developer Associate
Certified AMicrosoft Azure Developer Associate by Microsoft.
Connect Four
Developed a web application, connect four using JAVA & Multi-Threading and deployed it on AWS EC2 instance.
Cross Functional Training
Awarded with the First Prize in the Cross Functional Training at Home Credit India Finance Pvt Ltd.

Get in Touch

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