Welcome to My Portfolio..

Sai Aravind. Yanamadala

New York University(NYU), New York City y.saiaravind@gmail.com
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Currently pursuing my Master's in Computer Science at New York University (NYU) with a strong academic foundation from the Indian Institute of Technology (IIT), Indore, and one year of professional experience at Publicis Sapient, I bring a blend of academic excellence and real-world expertise. My professional journey has been shaped by tackling complex challenges and contributing to innovative solutions that drive efficiency and impact.

What excites me most is the transformative power of technology. I am fascinated by how Machine Learning and Deep Learning can uncover hidden insights to solve pressing problems, while Full Stack Development allows me to turn creative ideas into reality through intuitive and scalable systems. I am driven by curiosity and a passion for innovation, striving to create solutions that enhance user experiences and leave a lasting impact. Explore my portfolio to see my work, and let's connect to create something extraordinary together!

Access my full resume for a detailed overview of my experience: Resume

Experience

Publicis Sapient

Associate Software Development Engineer - 2

PSStream | Video Streaming Platform Fullstack

  • Developed critical features in a responsive web application PSStream for video streaming based on a user subscription model from scratch using agile methodologies, resulting in a streamlined user experience
  • Engineered role-based authentication and user-friendly responsive admin dashboards, menu, and efficient CRUD APIs, achieving seamless access to video, and user data statistics that enhanced team productivity by 40%
  • Automated microservice deployment with Jenkins CI/CD, cutting deployment time from hours to minutes by streamlining testing, building, and containerized deployment with Docker, EKS, ensuring faster, reliable releases
  • Reduced API response times by up to 30% through Redis caching for frequently accessed endpoints, and amplified unit testing coverage from 70% to 90%, enhancing overall performance and reliability

    • Tech Stack - Spring Boot, Java, React.js, PostgreSQL, RESTful APIs, AWS (EC2, K8s, S3), Docker, JUnit

Albertsons | Health and Wellness Application Backend

  • Developed scalable backend services using Spring WebFlux to asynchronously store user-defined activity and nutritional goals. Leveraging a non-blocking architecture and reduced response time and improved user experience
  • Crafted reactive endpoints using WebFlux and GraphQL to automate goal signup, reminder emails via cron jobs, and enable data retrieval with real-time updates, resulting in faster response times and improved data accuracy
  • Authored unit and integration tests to validate backend performance and resilience under heavy workloads, identifying bugs and reducing post-release incidents by 25%, leading to smoother deployments and enhanced stability

    • Tech Stack - Reactive Java, Spring Boot, GraphQL, Docker, Reactor Test, JUnit, Mockito

May 2022 - July 2023

Education

New York University, GPA 4.0/4.0

Master of Science in Computer Science

Key Courses: Design and Analysis of Algorithms, Cloud Computing, Big Data, Machine Learning, Deep Learning, Software Engineering, Operating Systems, Foundations of Data Science

Aug 2023 - Exp May 2025

Indian Institute of Technology, Indore

B.Tech in Computer Science & Engineering

Key Courses: Advanced Algorithms, Optimization of Algorithms, Design and Analysis of Algorithms, Parallel Computing, Operating Systems, Machine Learning, Computer Vision, Computer Graphics, Computer Architecture, Computer Programming

July 2018 - May 2022

Skills

Programming Languages & Tools
  • HTML5
  • CSS3
  • JavaScript
  • React
  • NPM
  • Python
  • Docker
  • Java
  • AWS
  • GitHub
  • C C
  • C++ C++
  • HTML5
  • CSS3
  • JavaScript
  • React
  • NPM
  • Python
  • Docker
  • Java
  • AWS
  • GitHub
  • C C
  • C++ C++
Workflow
  • Asynchronous & Reactive Programming
  • Object oriented Programming
  • Responsive Web Design
  • Agile Development & Scrum

Projects

RentWiseNYC

Our app simplifies finding NYC rental apartments by providing detailed data like bedbug history, nearby transportation, 311 complaints, and landlord issues. Users can filter searches, save favorites, and connect directly with landlords, helping students make fully informed decisions.
Predictive Modeling for Solar Energy Production - Big Data

Real-time predictive model for solar energy output using PySpark, Kafka, and Spark MLlib. Leveraging weather and solar irradiance data from Open Power System Data and real-time feeds via OpenWeatherMap, with an end-to-end pipeline integrating data streaming through Kafka and storage in AWS
WealthWave - Freedom to your financials

WealthWave leverages cloud computing and NLP to transform personal finance management. By integrating AWS with GPT-4 API, it automates bill digitization and enhances financial analysis, addressing manual entry and limited insights. This project demonstrates the powerful synergy of cloud and AI for intuitive, data-driven solutions.
Design and Analysis of GAN Architecture for Anomaly Detection

Anomaly detection system using GAN-based One-Class Classifier for video surveillance. Employs a generator-discriminator architecture to identify abnormal activities in dynamic frames, using reconstruction-based prediction and adversarial learning.
PhotoFind-Index - AI

AI-powered image search platform that labels and indexes images for efficient retrieval. Supports searches using custom or AI-generated labels, providing seamless access to photos through a cloud-based system integrated with AWS services.
Detection of Steel Defects using Deep Learning

Deep learning model for steel defect detection using CNN with UNet architecture and ResNet34 backbone. Features a three-step pipeline for efficient defect segmentation.

Awards & Certifications