Sahasra Kamatam
Full Stack Engineer with a focus on data-driven solutions | Skilled in Java, Spring Boot & machine learning | Developed RESTful APIs for financial dashboards at LTI
- Role
- Generative Ai Engineer at Ius Auto, Inc
- Location
- Baltimore, MD, US
- LinkedIn followers
- 500 followers
About Sahasra Kamatam
As a graduate student at UMBC diving deep into data science, I’ve found my passion lies at the intersection of technology and problem-solving. My journey has been anything but ordinary—starting from developing scalable Java applications at LTI to crafting microservices that enhance user experiences today. Each step has taught me the value of turning complex data into actionable insights that can truly make a difference.During your internship as a Software Engineer at SYSRS IT Services, you developed and integrated over 7+ microservices using Spring Boot, enhancing system reliability and strengthening your belief in collaborative innovation. Prior to this, you worked on a secure banking application, where you engineered RESTful APIs, integrated real-time transaction notifications with WebSocket, and improved a financial dashboard using Angular and TypeScript. These experiences fueled your passion for full-stack development and showcased your ability to drive tangible improvements in system performance and responsiveness.Outside of work and studies, I enjoy engaging with tech communities—whether it’s through hackathons or online forums—where I can share knowledge and learn from others’ experiences. If you’re looking for someone who is passionate about leveraging data science for impactful solutions or just want to chat about technology trends, feel free to reach out via email!
Experience
Generative Ai Engineer
Jan 2024 — Present · US
Designed and deployed end-to-end ML pipelines for NLP, compliance scoring, and legal content retrieval using AWS Lambda triggers, SageMaker, and EC2, reducing manual review time by 60% and increasing throughput by 45%.• Integrated and fine-tuned LLMs (LLaMA 3.2) with Hugging Face Transformers, TensorFlow, and LoRA, improving legal content analysis accuracy by 35% and reducing inference cost through optimized model serving.• Built lightweight ETL pipelines with PySpark and Kafka for real-time ingestion of 100K+ legal documents/month, enabling downstream processing and compliance flagging with minimal infrastructure.• Architected a high-performance inference system with FastAPI on Azure App Service and Functions triggers, achieving sub-200ms response times and seamless integration of real-time metrics into a Power BI dashboard via Azure Synapse.
Education
VNR Vignana Jyothi Institute of Engineering and Technology (VNRVJIET)
Bachelor's degree, Information Technology
2017 — 2021
University of Maryland Baltimore County
Master's degree, Data Modeling/Warehousing and Database Administration
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