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Vetted Engineering Professionals in the San Diego Metro
Pre-screened and vetted in the San Diego Metro.
Popular Titles
Komal Nagaraj
Mid-level Software Engineer specializing in AI, data pipelines, and regulatory platforms
Yash Vishe
Junior Software Engineer specializing in LLM systems, data engineering, and ML
“Backend/ML systems engineer with experience at SDSC, UCSD, and Media.net, building production semantic dataset/model discovery using embeddings + Solr KNN and LLM-based intent/reranking at 5M+ dataset scale. Emphasizes offline/online separation for predictable serving, has delivered measurable gains (23% retrieval accuracy, 38% latency reduction) and helped secure a $3M+ NSF grant.”
Baban Hamesalh
Mid-level Full-Stack Engineer specializing in Python, FastAPI, and cloud-native systems
Shaolong Li
Junior Software Engineer specializing in test automation and full-stack web development
Helen Andriacchi
Senior QA Analyst specializing in console, mobile, and web game testing
Ali Shaikh
Junior Software Engineer specializing in Core Banking and backend systems
Yu-Ting Chiu
Mid-Level Software Engineer specializing in backend systems and cloud infrastructure
Chaitanya Movva
Mid-Level Backend Java Engineer specializing in event-driven microservices and billing systems
Keith Ahlstrom
Senior Software Development Engineer in Test specializing in regulated systems and integration testing
Phyo Thant
Intern Robotics/ML Engineer specializing in autonomy, networking, and systems software
“Robotics software engineer who built a lightweight, ROS-free distributed control and telemetry stack for a Caltrans long-range culvert inspection robot. Strong in integrating heterogeneous hardware (UART motor controllers, Ethernet sensors, MJPEG cameras) and delivering real-time operator data via FastAPI/WebSockets, including reverse-engineering undocumented protocols and debugging network-induced latency with control-loop redesign.”
Gaurav Nair
Junior Software Engineer specializing in LLM backend systems and full-stack AI apps
Joseph Burgos
Mid-Level Systems Software Engineer specializing in cloud backends and connected devices
Jaydeep Pustake
Mid-level DevOps Engineer specializing in cloud infrastructure and CI/CD automation
Jeffrey Zhang
Junior Software Engineer specializing in full-stack web development
Satya Sri Keerthi Thammanapudi
Mid-Level Full-Stack Software Engineer specializing in Java/Python microservices
Ryan Soe
Junior Software Engineer specializing in full-stack web development and AI applications
Megan S
Senior Full-Stack Java Engineer specializing in microservices, cloud, and enterprise platforms
Harika Bale
Senior Full-Stack Software Engineer specializing in cloud, AWS, and enterprise web apps
“Software engineer with BitSight experience owning and revitalizing a critical internal Entity Management Portal (Django/React), clearing 30+ backlog items and boosting internal workflow efficiency ~40% through performance re-architecture (Redis caching) and disciplined testing. Also built a collaborative chore management platform (React/FastAPI) emphasizing responsiveness (optimistic UI) and scalability (connection pooling, Docker), and improved microservices security by centralizing secrets management with AWS Secrets Manager across multi-cloud environments.”
Franz Engel
Junior Full-Stack & ML Engineer specializing in research tooling and applied machine learning
“Full-stack engineer and ML assistant in UC Irvine’s CS department who deployed a lab project showcase platform and integrated on-demand execution of computational projects using Docker for isolation. Also built and optimized Linux cloud/cluster test automation for research, diagnosing RAM and network sync bottlenecks, and later led development of a Python-based predictive analytics tool for musicians using probabilistic graphical models and flexible data pipelines.”
Joshua Gudgel
Senior Full-Stack Engineer specializing in secure web applications
“Software engineer who has built both internal developer productivity tooling (a backend API supporting repeatable UI test data/mocking for Dapper) and a personal Go-based LLM workout coach using Gemini and structured logs/config. Emphasizes maintainability and reliability via scalable UI component tagging (Telerik), audit logs, and reproducible Dockerized environments; targeting $160k base.”