Neranjhana Ramesh

AI Researcher

San Jose, California, United States2 yrs 10 mos experience

Most Likely To Switch

Key Highlights

Developed a search tool for petabytes of data at Zoom.
Built a software system using LLM for caregivers.
Collaborated with a hospital on HIV treatment predictions.

Stackforce AI infers this person is a Machine Learning Engineer with a focus on Healthcare and SaaS applications.

Contact

Skills

Core Skills

Machine LearningData PipelinesRoboticsSoftware EngineeringEntrepreneurship

Other Skills

Microsoft AzurePersonalizationPredictive ModelingReinforcement LearningAgent-based ModelingLarge Language Models (LLM)Python (Programming Language)Medical CodingPyTorchRaspberry PiLinuxTensorFlowAmazon DynamodbNatural Language Processing (NLP)Keras

About

Hi, I'm Neranjhana, a Computer Science graduate student at USC with a passion for using my technical expertise and interpersonal skills to create meaningful, positive change. I am skilled in Machine Learning, Data Science and Software Engineering and I have worked on a wide range of projects in healthcare, security, and game development. I have 1.5 years of experience at Zoom as a Software developer, where I experienced significant professional and personal growth. I worked on developing, deploying and maintaining an in-house search tool leveraging open source technologies to search on PetaBytes of data from various sources like AWS S3, DynamoDB. I also worked alongside the Trust and Safety team to understand their needs and build ML models and software solutions to improve user security. These experiences helped me gain the skills to be a well-rounded software developer and good communicator. I find joy in creating impact and improving people's lives - I recently built a software system using LLM to assist caregivers, collaborated with a hospital to predict HIV treatment regimens, worked at a startup where I built data pipelines for automating medical coding. With my graduation approaching in December, I am excited about the next phase of my journey. I am always open to meeting new people and learning about their perspectives. Feel free to email me at neranjhanaramesh@gmail.com or connect with me here :)

Experience

2 yrs 10 mos

Total Experience

1 yr 5 mos

Average Tenure

1 yr 5 mos

Current Experience

Paypal

Machine Learning Engineer 3

Jan 2025 – Present · 1 yr 5 mos

Machine LearningMicrosoft AzurePersonalization

Keck medicine of usc

AI Researcher

Sep 2024 – Dec 2024 · 3 mos · Los Angeles Metropolitan Area · On-site

Working on Regimen Prediction for HIV using AI at Dr. Lee's Lab (https://eucalyptus.usc.edu/)

Predictive ModelingMachine LearningReinforcement LearningAgent-based Modeling

Viyamd

MLE Intern

Jun 2024 – Jul 2024 · 1 mo · California, United States

Building data pipelines and LLM based automation solution for medical coding
Prepared and ingested MIMIC-III and MIMIC-IV data, developing robust data pipelines to support various medical coding techniques, including ICD and CPT.
Trained and tested language models such as RoBERTa-PM, BlueBERT, and LLaMA using the PyTorch framework, enhancing performance in healthcare-related tasks.

Large Language Models (LLM)Data PipelinesPython (Programming Language)Medical CodingPyTorch

Usc information sciences institute

Student Researcher at Space Engineering Research Center (SERC)

Mar 2023 – Sep 2023 · 6 mos · Marina del Rey, California, United States

STARFISH - Soft Translational Advanced Robot for In-Space Handling
Worked on creating a soft robotic crawling inspection robot designed for use on satellites and space platforms in orbit. STARFISH integrates electro-gecko adhesive technology with soft materials and locomotion to create a self-powered crawling device.

Raspberry PiRobotics

Zoom

Software Engineer

Jul 2021 – Dec 2022 · 1 yr 5 mos · Bangalore Urban, Karnataka, India

Developed, deployed and maintained an in-house application called Argus, leveraging opensource tools to search petabytes of security log data from different sources like AWS S3 and DynamoDB.
Implemented parallel processing, on-demand clusters and efficient recursive search mechanisms improving search times by more than 80%
Worked on ML solutions to improve security on Zoom platform and to detect abusers.
Built custom Nifi processor to reduce workload on Splunk clusters. Supplemented with a Grafana dashboard to monitor the health of Nifi processors.

LinuxPython (Programming Language)TensorFlowAmazon DynamodbNatural Language Processing (NLP)Keras+10

Ibm

Intern

Jul 2020 – Dec 2020 · 5 mos · India

Worked on the modernization and relaunch of the Customer Center portal of IBM-Sterling Supply Chain Business Network (SCBN) by leveraging the latest of cloud technologies (Couchbase, Kubernetes etc.) to achieve increased resiliency, efficiency and ease-of-use with simplified onboarding.

LinuxPython (Programming Language)GitCouchbaseSoftware Engineering

Spi global

Machine Learning Intern

May 2019 – Jul 2019 · 2 mos · Chennai, Tamil Nadu, India

Applied machine learning principles to automate the process of predicting the journal in which an article could be published based on previous data

Python (Programming Language)TensorFlowNatural Language Processing (NLP)KerasGitMachine Learning

Madeit innovation foundation

Startup Sandbox

Dec 2018 – Jan 2019 · 1 mo · Chennai, Tamil Nadu, India

The Startup Sandbox Program, organized by MaDeIT in collaboration with the Entrepreneurship Development Institute of India (EDII), was a three-week Entrepreneurial Bootcamp.
Worked on a cheaper method to detect liver cirrhosis

Design ThinkingPrototypingEntrepreneurship