Hi there, I'm
SAKSHI SINGH
Software Engineer Intern @NetflixCurrently working on Optimizing Cloud infrastructure @Netflix Live
A Bit About Me
Hey there! I am currently working with Netlix Cloud Team optimizing Netflix Live infrastructure components and currently doing Master's in Computer Science with honors at the University of Southern California. As a research assistant under Prof. Hongshuda, I am engaged in developing advanced visualization techniques and building standardized components for various matrix representations with tree views for ontology. Prior to this, I served as a Software Developer at Akamai Technologies, the world's largest CDN company. My professional background includes a strong focus on adopting the most suitable technology for each project, ensuring flexibility and efficiency. Additionally, I am an avid sci-fi enthusiast and enjoy reading a wide range of books. I am always eager to enhance my skills and contribute meaningfully to society. Networking with other professionals and learning from their experiences is something I greatly value. If you are interested in a conversation or would like to share insights, please feel free to reach out. I look forward to connecting and having engaging discussions.
My
Skills
PROGRAMMING LANGUAGES
TypeScript
Python
Java
C/C++
SQL
Swift
HTML/CSS
FRAMEWORKS & LIBRARIES
Node.js
React
Next.js
Angular
Flask
FastAPI
SpringBoot
PyTorch
Material-UI
Apache Kafka
Langchain
DEVELOPER TOOLS & CLOUD
AWS
GCP
Docker
Kubernetes
Terraform
Apache Airflow
Apache Spark
Jenkins
GitHub Actions
Microservices
DATABASES
PostgreSQL
MongoDB
DynamoDB
MySQL
Apache Cassandra
My
Work Experience
Netflix Inc.
Netflix
May 2025 - August 2025
• Designed adaptive scaling policies for AWS EC2 powering Netflix Live, using synthetic traffic and viewership forecasts to cut surplus compute cost by 35%, saving $180K/year and improving peak-time responsiveness.
• Developed policy preview APIs using AWS IAM services highlighting policy action changes and minimizes configuration drift, enabling the platform team to validate policy modifications before deployment and maintain consistent security posture.
• Proactively developed Radar alert packs and Lumen dashboards, reducing alarm-to-action time from 5 minutes to 30 seconds automatically triaging issues thereby reducing MTTR by over 52%.
Information Sciences Institute.
Software Engineer Intern
March 2024 - August 2024
• Architected a scalable data model and Apache Airflow pipelines to automate ingestion and processing of 1TB+ of protein ontology data, enabling efficient bulk data handling and downstream integration.
• Incorporated Material-UI Treeview and React Hooks to develop advanced data discovery tools, enabling users to extract insights from complex datasets enhancing user engagement by 17%
Akamai Technologies
Software Engineer 2
August 2021 - December 2023
• Transformed Bot-Manager AngularJS library into a Front-End Pulsar app, cutting down JavaScript bundle size from 7.1 MB to 5.6MB. Implemented dynamic runtime module federation, boosting page load speed by 21%
• Transitioned BotManager APIs to OpenAPI specifications, ensuring robust RESTful compliance; restructured the User Interface,facilitating seamless Akamai API integration and improving developer collaboration by 16%
• Executed and optimized a logistic regression model to tune coefficients for different request anomaly rules, contributing to aunified score for continuous false positive/false negative monitoring and alerting
• Capitalized on Akamai Device Anomaly tables to correlate new signals, creating a continuous feedback loop that improved detection accuracy by 34% and reduced cloud costs by $2M annually
• Streamlined infrastructure setup by developing a Terraform model for REST APIs, reducing configuration time to minutes and enabling domain URL tracking for bot identification, eliminating the need for tedious UI adjustments
• Integrated OAuth 2.0 and OpenID Connect in CIAM SaaS employing Akamai Identity Cloud
• Replaced manual pipeline with GitHub Actions for an efficient, future-proof system making staging and production deployment seamless saving 28% of time
Akamai Technologies
Software Engineer Intern
March 2021 - May 2021
• Empowered customers to transmit bot/non-bot signals to any analytics platform, ensuring accurate visibility into performance
and behavior of actual users achieving a false positive rate of less than 2%
• Led project from start to finish, beginning with conceptualizing application architecture and designing solution, followed by
overseeing development, deployment, and rollout to GA ensuring comprehensive unit test case coverage
NimbleV
Full Stack Development Intern
Jan 2020 - May 2020
My first internship, which is close to my heart, involved developing a web-based application designed to help senior citizens easily find and access their favorite radio channels by scraping the internet for relevant ones.
Key Contributions:
• Problem Solving: Tackled the challenge of accessibility for seniors by creating a simple, intuitive interface.
• Feature Integration: Enhanced the website with new functionalities and audio controls, making it user-friendly.
• Analytics Implementation: Used Google Analytics to track user engagement, optimizing the experience based on data.
• UI/UX Improvements: Applied modern design principles to ensure an easy and enjoyable user experience.
Impact:
• Enhanced Accessibility: Made it effortless for senior citizens to discover and listen to various radio channels.
• Positive Feedback: The real, positive feedback from users highlighted the significant impact and reach of the application, making this project particularly meaningful to me.
Find it live here!
My
Personal Projects
-
ProfEssence AI
● Developed a course recommendation system using LangChain, GPT-3.5, and data scraping from Reddit and RateMyProfessor, providing tailored suggestions based on academic preferences and professor reviews to simplify course selection
● Built an interactive chatbot interface with Next.js, TypeScript, and Tailwind CSS, allowing students to engage seamlessly with AI-powered insights, improving the decision-making process for over 50+ available courses at USC
- Langchain
- Next.js
- FastAPI
- Postgresql
-
Stock Trading Application
● Developed a stock trading platform utilizing Finnhub and Polygon.io APIs, supporting over 4800 simultaneous users, to provide real-time market data and robust trading functionalities
● Accomplished a robust security framework leveraging HTTPS and JWT to ensure secure transactions. Utilized web sockets for streamlined data updates, enhancing data retrieval speeds in milliseconds
- MongoDB Atlas
- Android
- Angular
- GCP
- Swift
-
Rubber Duck Project
● Programmed an impactful Google Action for coding using the renowned rubber duck technique, which increased effective code debugging efficiency by 57% and facilitated the sharing of programming insights with over 8300 users
● Introduced priority management and synchronization with Asana using n8n for an advanced to-do list system
- Firebase
- Google Action
- Python
- Alexa Skills Kit
- DynamoDB
- Lambda function
-
Breast Cancer Detection
● Invasive ductal carcinoma (IDC) is the most common form of breast cancer, with a 99% survival rate if detected early.
● The current detection method requires an expert pathologist to examine tissue slices. We automated the process by developing a 95% accurate CNN model for breast cancer classification and localization.
● Automated the process by developing a 95% accurate CNN model for breast cancer classification and localization.
- TensorFlow
- Scikit-Learn
- Matplotlib
- Pandas
- NumPy
- Python
-
Sequence Alignment Algorithm Implementation
● Implemented a sequence alignment algorithm using dynamic programming (DP) and divide-and-conquer techniques, crucial for bioinformatics, genomic research, protein engineering, and medical research in identifying sequence similarities and mutations.
● Utilized the DP approach with O(m*n) space complexity for high-precision tasks like genomic sequence analysis, and the divide-and-conquer method with O(m+n) space complexity for large sequences or memory-constrained applications.- Algorithms
- Python
- Matplotlib
- Pandas
- NumPy
-
XploreKshmr
● Developed XploreKshmr, a comprehensive tourism website for Kashmir featuring immersive carousels, interactive cards for top tourist spots, and a secure login system with encrypted passwords, focusing on exceptional UI/UX and responsive design.
● Utilized SQL for efficient data management and PHP for backend development, ensuring fast performance and secure data handling, and integrated additional features like interactive maps, event calendars, and customizable itineraries.- Firebase
- JavaScript
- HTML/CSS
- PHP
My
Education
University of Southern California
M.Sc - Computer Science
January 2024 - December 2025
• GPA: 3.82/4.0 • Coursework - Analysis of Algorithms, Web Technologies, Data Science, Machine Learning, Autonomous Cyber-Physical Systems
PES University
B.E - Computer Science
August 2017 - May 2021
• GPA: 9.1/10.0 • Coursework - Software Engineering, Object Oriented Design, Operating Systems, Machine Learning, Design and Analysis of Algorithms, Data Structures and Algorithm, Database Management Systems, Discrete Math
My
Notable Achievements
• Received Akamai Wizards award for developing an innovative workflow and project management system, it tracks Jira tickets, monitors progress, and manages component design documents, improving onboarding and project transfer processes.
• Guided 360+ students through Data Structures and Algorithms workshops under ’Techwarts’.
• Conducted IEEE computer networks workshop to talk on signal hopping and FHSS (Frequency-hopping spread spectrum)
Have a project? or just looking to reach out?
Let's Work Together
Feel free to reach out if you just want to connect or see if we can build something amazing together.