Teja Sirivella
Full Stack Engineer at Fusion Upgrade
City of Rochester, New York, United States
Summary
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Senior🎓
Top SchoolTeja Sirivella is a Full Stack Engineer with a decade of software experience and a recent MS in Computer Science from RIT (3.95 GPA), specializing in backend systems, cloud-native deployments, and ML-driven tooling. He has delivered high-throughput ETL pipelines, event-driven microservices, and Kubernetes/OCI cloud deployments at enterprises like Optum and Oracle, and now builds full-stack products and agent-driven compliance systems at startups. Teja designed Classical-AutoML — an end-to-end AutoML framework with Bayesian optimization, meta-learning, and distributed evaluation benchmarked against Auto-sklearn — and has shipped ML-enabled products such as LecLens and a C++/CUDA real-time IDS. He blends strong systems performance instincts (profiling, distributed evaluation, Kafka-based architectures) with product-minded implementation using TypeScript/Next.js, Node.js, PostgreSQL, MongoDB, and vector search stacks. Based in Rochester, NY, he enjoys tackling hard backend scalability problems and translating research prototypes into production-ready services. Actively seeking roles across backend, full-stack, cloud, or ML engineering where he can drive performance, automation, and measurable product impact.
10 years of coding experience
6 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Rochester Institute of TechnologyJawaharlal Nehru Technological University Hyderabad
Hindi, English, TeluguProgramming languages (1)
Github contributions (5)
tejakiransirivella/RealTimeIDS
Jan 2025 - Feb 2025
Contributions:9 pushes, 3 branches in 23 days
tejakiransirivella/CrashLens-NYC
Feb 2025 - Feb 2025
CrashLens analyzes traffic accident data through visualizations (histograms, pie charts, line plots, scatter plots) and DBSCAN clustering to identify accident hotspots. It includes data cleaning and supports datasets from various locations, with a focus on NYC crash data.
Contributions:2 PRs, 7 pushes, 5 branches in 1 day
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