Sri Datta Bandreddi

Product Engineer

United States3 yrs 10 mos experience

Key Highlights

Expert in AI and biomedical engineering applications.
Led teams to solve complex technical challenges.
Passionate about building impactful healthcare solutions.

Stackforce AI infers this person is a SaaS-focused AI Engineer with a strong background in biomedical applications.

Contact

Skills

Core Skills

Attention MechanismsPytorchKafkaAwsReact.jsJavaPythonMachine Learning

Other Skills

Amazon Web Services (AWS)Amazon S3NoSQLDockerGrafanaSpring BootPython (Programming Language)APIsDatabase ManagementElasticsearchApache KafkaJanusGraphCassandraScyllaK8s

About

M.S. student at Carnegie Mellon studying AI Engineering with concentration in Biomedical Applications (graduating Dec 2026). I'm currently at the Computational Bio-Modeling Lab with Prof. Jessica Zhang, working on transformer architectures and applications to biomedical engineering. I've spent 3+ years at companies like Phenom and BYJU'S building systems that actually work at scale. Led teams through complex technical challenges and learned that the best solutions come from understanding both the technology and the people who use it. What gets me excited is building things that matter, I'm always asking: how does this actually help someone? I believe that future of healthcare is happening at the intersection of AI, biomedical engineering, and scalable systems, and I want to be part of building it.

Experience

3 yrs 10 mos

Total Experience

1 yr 6 mos

Average Tenure

10 mos

Current Experience

Carnegie mellon university

2 roles

Teaching Assistant - AI and IoT

Jan 2026 – Present · 5 mos · On-site

Graduate Research Assistant

Aug 2025 – Present · 10 mos · On-site

Conducting research on low rank attention mechanisms for unstructured data, with a focus on imaging and time-series signals. I work on attention architectures and low-rank/surrogate methods, develop end-to-end PyTorch pipelines, and benchmark models on large-scale datasets.

Attention MechanismsPyTorch

Phenom

Product Development Engineer

Dec 2023 – Jul 2025 · 1 yr 7 mos · Hyderabad, Telangana, India · On-site

Redesigned metrics collection for kafka consumer lag to reduce scraping time under 100ms.
Have conducted POC to validate and benchmark performance and availbility of nosql databases and indexing for knowledge graphs.
Refactored and redesigned extensible data pipeline services, for multi‐tenant knowledge graphs.
Implemented Docker Compose to enhance the management of integration testing pipelines.

Amazon Web Services (AWS)Amazon S3KafkaAWS

Byju's

Software Engineer

Jul 2022 – Dec 2023 · 1 yr 5 mos · Hyderabad, Telangana, India

Directed the development of a ReactJS‐based authentication and authorization application, cutting reliance on external services by
50% and leading a team of three to timely completion.
Contributed to the Identity Management team on projects enhancing OAUTH and RBAC systems.
Developed and launched multi‐channel communication features, boosting customer notification effectiveness by 20%.
Created a Grafana dashboard with custom modules to monitor performance metrics, doubling metric coverage and supporting dy‐
namic scaling and alerts.
Conducted load testing that reduced target API latency by 30% and enhanced cost efficiency.
Mentored two interns, accelerating their integration into the team and enabling their contributions to key projects.
Optimized AWS ECS scaling configurations, slashing costs by 70% while maintaining service reliability.
Engineered a backend service for an in‐house CRM application using Java‐Spring Boot, delivering the project within two months.

Amazon Web Services (AWS)React.jsAWS

Phenom

Machine Learning Intern

May 2021 – Jun 2022 · 1 yr 1 mo · Hyderabad, Telangana, India

Collaborated with a four‐person team to develop a classification model for internal use‐case for better validation of other deployed
models.
Learned and leveraged machine learning algorithms and deployed one validation service at a production capacity. Involved in devel‐
opment using APIs and databases to integrate services under the product.
Developed two database package clients to facilitate database migration and testing, improving code reusability for DB queries.

Amazon Web Services (AWS)Python (Programming Language)AWSPython