Sri Sai Yashwanth Chimalamarri

A passionate tech enthusiast deeply entrenched in the nexus of technology and business, currently advancing my knowledge with a Master of Science in Management Information Systems at the University of Florida. My journey began with a Bachelor of Technology in Computer Science & Engineering from JNT University Hyderabad, laying the groundwork for my tech-centric career path.

My tenure at Cisco Systems, India allowed me to contribute to critical projects including the development of core platform software for Cisco Catalyst switches and a chatbot leveraging MindMeld NLP interface, enhancing user engagement and retention. Theis experience has sharpened my ability to deliver impactful technological solutions in complex real-time environments.

I'm on a continuous quest for knowledge and innovation in the tech sphere, particularly in roles that intersect with data analysis and align with my experience. I'm excited to connect with professionals who share a passion for leveraging technology to solve real-world problems. Let's explore collaborative opportunities and drive technological advancements together!

Skills

Java
C Language
C++ Language
Python
HTML/CSS/WordPress/PHP
MySQL
Angular JS
Node JS
ML, NLP
Git
Linux/Windows
JavaScript

Resume

Education

Masters of Science - Management Information Systems

2023 - 2025

University of Florida, Gainesville, Florida

Bachelor of Technology - Computer Science & Engineering

2017 - 2021

Jawaharlal Nehru Technological University, Hyderabad, India

Professional Experience

Software Engineer

Cisco Systems
2021 - 2023

Bengaluru, India

  • Worked on Cisco Catalyst 9500H & Catalyst 9600 Switches Core Platform Software Development through C language – on chassis management, High availability, SNMP handling, Optics/Sensor/Port LED/Power/Fan modules handling.
  • Developed an application leveraging Python Scapy to proactively monitor switch health, injecting traffic through customized network packets, sniffing at multiple endpoints. Resulted in expedited issue detection & reduced chances of network downtime by 40%.
  • Streamlined unit testing for Catalyst 9600X Line Cards by automating 95% of tests using Python PyATS framework.
  • Engaged in customer debugging on issues related to various Cisco Optics, Catalyst 9500X Switch & Next Generation Stackwise Virtual Switch.

Technical Undergraduate Intern

Cisco Systems
2021

Bengaluru, India

  • Built a new chat bot infrastructure leveraging NLP interface namely MindMeld to perform Domain/Intent/Entity classification for user queries.
  • Leveraged web scraping, database management, and API integrations to add versatile modules into the bot, enabling dynamic responses for a user query and achieved an accuracy of 85%.
  • RAnalyzed large chunks of user queries to isolate various data patterns and incorporate to the bot for enhanced training.
  • Used Python Flask framework and seamlessly integrated chat bot with Cisco WebEx for facilitating a better user engagement resulting in a 20% increase in user retention.

Student Research Intern

Geneparadigm
2020

Hyderabad, India

  • Enhanced facial recognition efficiency by 14% through advanced computer vision algorithms application (DeepFace, FaceNet) and training data of around 1000 profiled facials.
  • Leveraged Amazon Web Services on GAN model training to produce 3D emojis with 90% similarity from over 10,000+ samples and increased efficiency by 25% through hyperparameter tuning.

Projects

Consignment Tracking System

Angular | Node.js | Cloud SQL

Developed using microservice architecture to track upto 1000 packages with a QR codes and a feature of cryptographic security for delivery information concealment.

Hulu Content Analysis

Python | Data Analytics

Created a data model that delivers accurate recommendations to streamline Hulu content for improved user base. The model evaluated and visualized around 20 thousand titles from the platform with attributes related to directors, cast, release date & time, country, genre, ratings and more.

Online News Popularity

Python | Pandas | Matplotlib | Logistic Regression | Random Forest

Engineered a robust machine learning model to classify online posts as popular/unpopular by analyzing attributes such as user interests, content tags, website, user profile, number of shares & more., helping in online content management.

Suraksha – Smart Security System

Python | OpenCV | Dejavu | SMTPlib

Implemented an advanced security system with face recognition, speech recognition, fingerprint verification & deployed an intelligent theft alert mechanism.

Contact

3800 SW 34th St
Gainesville, FL 32608

chimalamarri.s@ufl.edu

+1 (352) 2845983

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