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Vetted Engineering Professionals in California

Pre-screened and vetted in California.

SN

Mid-level Software Development Engineer specializing in FinTech and digital asset platforms

California, United States5y exp
Northern TrustCalifornia State University
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JN

Intern Full-Stack Developer specializing in AI and web applications

San Rafael, CA2y exp
BioMarinSonoma State University
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SV

Mid-level Full-Stack Software Engineer specializing in cloud microservices and GenAI

Sacramento, CA7y exp
California Department of Developmental ServicesCalifornia State University, Sacramento
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ST

Mid-level QA Engineer specializing in test automation for healthcare and financial platforms

Sunnyvale, CA4y exp
CitiusTechCal State San Bernardino
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CB

Senior QA Test Analyst & Release Manager specializing in console/PC certification compliance

San Jose, CA10y exp
Cryptic StudiosArbor View High School
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IB

Junior Software Engineer specializing in backend, microservices, and cloud

San Francisco, CA2y exp
KarmeqSyracuse University
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AS

Intern Full-Stack Software Engineer specializing in AI integrations and cloud-native web apps

California, United States2y exp
Moblize.ITIllinois Institute of Technology
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VF

Senior Software Engineer & Engineering Lead specializing in Unreal/Unity VR training and multiplayer

San Diego, CA23y exp
AmazonNational University
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HK

Hemanth Katikala Muniraj

Screened ReferencesStrong rec.

Intern Robotics Software Engineer specializing in ROS2 autonomy and LiDAR localization

Cerritos, CA1y exp
AliveMindUniversity of Michigan-Dearborn

Robotics software engineer focused on production-grade autonomous mobile robot (AMR) navigation in warehouse-style environments, with deep hands-on ROS2/ROS Noetic experience across SLAM, AMCL/NDT LiDAR localization, and Nav2 integration. Strong in real-time debugging and performance tuning using rosbag-driven regression workflows, plus containerized deployment (Docker/Compose) and distributed robot/edge-device communication via MQTT/REST.

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VV

varsha viswanathan

Screened ReferencesStrong rec.

Entry-Level Software Engineer specializing in backend systems and FinTech

Fremont, CA1y exp
UnicgateUniversity of Texas at Dallas

Software engineering intern experience at Zoho Corp and Zeus Desk building and deploying customer-facing systems. Delivered a real-time booking platform backend that stayed stable for 1,000+ users by optimizing MySQL queries/indexing and shipping hotfixes during production latency incidents. Also integrated financial operations APIs across 50+ small-bank partners by creating a normalization/validation layer to handle inconsistent partner data and prevent integration breakages.

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HJ

Harshal J Hirpara

Screened ReferencesStrong rec.

Mid-level Machine Learning Engineer specializing in LLM alignment and applied reinforcement learning

Mountain View, CA3y exp
QuinUniversity of Illinois Chicago

AI/LLM engineer who has shipped production systems end-to-end, including a note-taking product (Notey) combining audio/image capture, ASR, summarization, and a semantic chat agent over past notes. Also has applied ML experience in healthcare, collaborating directly with doctors to validate an EEG seizure-detection pipeline, and uses Kubernetes to optimize GPU usage for LLM training.

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YT

Yathien Thai

Screened

Intern Test Engineer specializing in embedded systems, robotics, and data automation

Hercules, CA1y exp
Bio-RadSan José State University

Robotics software contributor on an SJSU Robotics Mars rover hub, where they built a C++ camera gimbal driver using the Libhal open-source library and implemented/tuned PI/PID control to achieve stable servo behavior.

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SS

Junior Robotics Engineer specializing in computer vision and sensor fusion

Mountain View, CA2y exp
Corvus RoboticsWorcester Polytechnic Institute

Robotics software engineer with ~3 years of ROS experience spanning drone autonomy and perception. Recently improved drone barcode scanning by shifting to segmentation and deploying an optimized instance-seg model to edge hardware (FP16 quantization, convex-hull masks), while also building ROS drivers/parameters for field-tunable behavior. Has hands-on experience integrating LegoLOAM and calibration/TF systems, including creating RViz visualization tools to validate transforms and debugging real-world drift issues caused by lighting/glare.

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FI

Junior Embedded Firmware Developer specializing in microcontrollers and wireless protocols

San Luis Obispo, CA1y exp
Engineers For Exploration, UCSDCal Poly San Luis Obispo

Cal Poly student with embedded + networking + robotics project experience, including an E4E summer research internship building an acoustic collar on an STM32 and collaborating weekly with the San Diego Zoo Wildlife Alliance. Built a hobby ESP32-based Spotify “now playing” display and demonstrated strong cross-domain debugging by tracing failures to router behavior rather than code.

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AP

Andrew Park

Screened

Mid-Level Software Engineer specializing in QA automation and full-stack web development

Los Angeles, CA7y exp
OutlierCal Poly Pomona

Automation and customer-facing technical specialist with experience at QA Wolf and Kalmar, taking Playwright E2E testing from prototype scripts into CI-gated production pipelines (80%+ automated coverage). Also trained both software teams and industrial operations audiences (Fleet View for automated straddle carriers) and partnered with sales/customer teams to translate technical results (e.g., Siemens PLC updates, QA ROI) into adoption and faster closes.

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AA

Mid-level Systems Integration & Test Engineer specializing in embedded robotics and automation

San Diego, CA3y exp
VROM AutomationSan Diego State University

Senior engineering student leading a robotics capstone using a Jetson Nano + Yahboom DOFBOT to play whiteboard games (Tic-Tac-Toe, Hangman) via computer vision and ML. Owns the inverse kinematics and OpenCV pipeline, uses Gazebo/URDF for simulation, and is planning C++/multithreading/Pybind11 optimizations to meet real-time constraints on limited embedded hardware.

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VR

Intern AI/Software Engineer specializing in RAG, LLM agents, and cloud-deployed search

Hayward, California1y exp
Dataflix Inc.Arizona State University

Built and deployed a production AI document Q&A (RAG) platform that lets non-technical users query hundreds of PDFs/Word files, cutting search time from hours to seconds. Experienced with scaling retrieval pipelines (chunking, embeddings, vector search, batching/caching) and orchestrating reliable workflows using AWS Step Functions/Airflow with robust retries, monitoring, and fallbacks.

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AA

Senior IT Systems & Desktop Support Specialist specializing in Windows/Linux and networking

Daly City, CA13y exp
Field NationAMA Computer College - Makati

LLM/AI practitioner focused on productionizing LLM assistants for customers, with emphasis on reliability, security, and data privacy (RAG architecture, guardrails, RBAC, data masking, monitoring and automated evals). Experienced in hands-on developer workshops and in partnering with sales to run tailored demos/pilots that drive broad customer adoption.

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BH

Senior Full-Stack PHP Developer specializing in LAMP, APIs, and scalable SaaS platforms

Valencia, CA20y exp
PhonexaCalifornia State University

Full-stack engineer who built an email/SMS marketing platform from the ground up using PHP (Yii2/Laravel) and JS (jQuery/Vue components), including campaign reporting, A/B testing, and extensive ESP/SMS integrations (Mailgun/Mailjet/Twilio plus AWS SES/SNS). Notably scaled the system for very large contact ingestion by migrating from MySQL to ClickHouse and implemented reliability measures like retries, logging, and rate limiting.

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FB

Mid-Level Full-Stack Software Engineer specializing in AI-powered web applications

Irvine, CA3y exp
Donald Bren School of Information and Computer SciencesUC Irvine

Full-stack software engineer who shipped production systems in academic and e-commerce contexts, including a UC Irvine course recommendation platform with async Kafka-based OCR processing (Tesseract) and LangChain-driven recommendations. Strong in building polished React/TypeScript dashboards (Figma-to-implementation) and owning Python backends (FastAPI/Flask) with solid API design, caching, and AWS EKS deployments; delivered measurable impact (tripled engagement, ~50% faster processing).

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