Nithishma Allu

Software Engineer

San Francisco, California, United States3 yrs 5 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Proficient in Full-stack Development with Java and Angular.
Experience in Machine Learning and Cloud Computing.
Strong background in Natural Language Processing and Social Network Analysis.

Stackforce AI infers this person is a Full-stack Developer with expertise in Machine Learning and Cloud Computing.

Contact

Skills

Core Skills

Machine LearningCloud ComputingNatural Language ProcessingSocial Network AnalysisFull-stack DevelopmentDatabase ManagementSoftware Development

Other Skills

ResNetDockerAWS LambdaSageMakerDynamoDBS3Python (Programming Language)AngularJavaMySQLJUnitScikit-LearnPyTorchNatural Language Processing (NLP)Operating Systems

About

I am a current Columbia University student a Master's degree in Computer Science(ML track) My professional journey has spanned two years, during which I immersed myself in the software domain as a proficient Full-stack Developer at Bank of New York Mellon. In this role, I skillfully navigated intricate technical terrains using Java, Angular, and MySQL, while also fostering collaborative relationships with business stakeholders. My responsibilities encompassed grasping functional prerequisites and devising effective solutions.

Experience

3 yrs 5 mos

Total Experience

2 yrs 1 mo

Average Tenure

1 yr 3 mos

Current Experience

Columbia university

Graduate Teaching Assistant

Sep 2024 – Dec 2024 · 3 mos · New York, New York, United States · On-site

COMS 4705 : Natural Language Processing - Prof.Daniel Bauer
QMSS 5073 : Machine Learning Soc Sci - Prof.Mazen Asaad

Amazon web services (aws)

Software Engineer Intern

Jun 2024 – Aug 2024 · 2 mos · New York City Metropolitan Area

Developed a dataset analysis and recommendation system for AWS Lookout for Vision, delivering customer feedback to improve dataset quality and
enhance model performance by over 75%.
Implemented techniques like ResNet for feature extraction, clustering for diversity analysis, content-based similarity detection, and computer vision
methods for anomaly detection, optimizing dataset analysis and improving model accuracy.
Containerized the analysis process with Docker, deployed via AWS ECR, and automated using AWS CDK. Leveraged AWS services like
Lambda, SageMaker, DynamoDB, and S3 to streamline workflows, which resulted in improved scalability, cost-efficiency, and model accuracy
for defect detection.

ResNetDockerAWS LambdaSageMakerDynamoDBS3+2

Columbia university

Graduate Teaching Assistant

Jan 2024 – May 2024 · 4 mos · New York, United States

COMS 4223 : Networks, Crowds and the Web - Prof. Augustin Chaintreau
QMSS 5062 : Social Network Analysis - Prof. Gregory Eirich

Python (Programming Language)Social Network AnalysisNatural Language Processing

Bny mellon

4 roles

Senior Full-stack Developer

Promoted

Apr 2023 – Jul 2023 · 3 mos

Devised and maintained web applications using a wide range of technologies, which included coding in front-end frameworks (Angular) and back-end technologies (Java).
Implemented and optimised database structures and queries for efficient data retrieval and storage, ensuring seamless functionality and responsiveness of applications increased the efficiency by 80%.
Collaborated with cross-functional teams to gather requirements, issue resolution, conduct code reviews, and troubleshoot issues, requirements gathering contributing to the successful delivery of 17 high-quality software functionalities.
Provided mentorship and guidance to interns, preparing for a successful transition into the corporate environment

AngularJavaMySQLFull-stack DevelopmentDatabase Management

Software Engineer

Jul 2021 – Apr 2023 · 1 yr 9 mos

AngularJavaFull-stack Development

SDE Intern

Jan 2021 – Jun 2021 · 5 mos

JavaSoftware Development

SDE Intern

May 2020 – Jul 2020 · 2 mos · Chennai, Tamil Nadu, India

Designed and implemented an automated application for monitoring server health and generating comprehensive reports which reduced the downtime by 70%.
Employed JUnit testing and improved code coverage, achieving an impressive 95% coverage rate.
Developed and maintained software applications and solutions under the guidance of senior developers, contributing to the enhancement and optimization of project functionalities.
Engaged in 2 global Hackathons organized by the company, seeking valuable exposure and knowledge which included coding in Java

JavaSoftware Development