Vetted C Professionals

Pre-screened and vetted.

US

Intern Front-End Developer specializing in React and full-stack web applications

Remote0y exp
Tryp.comIIT Kharagpur

Upcoming IIT KGP graduate with production-level frontend experience at Tryp.com, where they co-owned a sophisticated browser-based travel booking interface for global users. Stands out for combining React/TypeScript product work with unusually strong browser rendering and performance optimization skills, plus evidence of measurable UX and load-time improvements.

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DM

Dave Marr

Screened

Director-level Engineering Leader specializing in full-stack web platforms and AI integration

Cambridge, MA16y exp
Context LabsUniversity of New Hampshire

Frontend engineer with deep experience building high-performance, data-heavy web applications, especially geospatial and climate/energy visualization products. Has led React/TypeScript architecture for large interactive UIs and designed Mapbox/MVT-based systems that dramatically reduced payload size and improved responsiveness in production.

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SS

Sutej Singh

Screened

Entry-Level Software Engineer specializing in ATM platforms and backend modernization

San Francisco Bay Area, CA1y exp
Wells FargoUSC

Software engineer with hands-on embedded/robotics coursework experience (Arduino sensor integration and input handling built from scratch without external libraries) and strong DevOps/engineering productivity impact at work, including leading a CI/CD enhancement that runs only impacted tests to catch issues before PR approval.

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DD

daniel doman

Screened

Principal Cloud & Cybersecurity Architect specializing in regulated financial and government environments

New York, NY35y exp
TPGConsultingPitzer College

Serial venture builder/operator across ad tech, media delivery, search engines, international content management, and ecommerce; has raised up to $150M and been involved in 8 acquisitions or IP-acquisition events. Known for refactoring/re-engineering smaller or troubled platforms into higher-value businesses, including building yield-management algorithms and a Kafka-like system to improve ad delivery profitability.

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JL

Junior Software Engineer specializing in full-stack systems, ML, and robotics perception

San Diego, USA2y exp
Autonomous Vehicle LabUC San Diego

Robotics software engineer with autonomous driving lab experience at UCSD, building and optimizing ROS2 perception and control pipelines (camera-based real-time object detection) with a strong focus on low-latency performance and robust message interfaces. Also brings production deployment experience from Hewlett Packard Enterprise, using Docker and Kubernetes for containerized environments and deployment pipelines.

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SS

Junior Software Engineer specializing in machine learning and control systems

Toronto, Canada2y exp
Tamaki ControlsUniversity of Waterloo

Robotics-focused candidate with multiple university robotics projects (MTE 380, MTE 544) and ROS 2 (Humble/Galactic) experience spanning perception, navigation, and simulation. Built a vision-based line-following and retrieval robot using HSV filtering and homography, and debugged real-time PID overshoot issues via timestamping/rate-limiting. Comfortable with distributed ROS 2 architectures (Python perception + C++ control), DDS/QoS, Gazebo testing, and Dockerized deployment.

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SL

Sabrina Liu

Screened

Junior Robotics & ML Engineer specializing in robot learning and simulation

Ithaca, NY2y exp
Cornell Center for Teaching InnovationCornell University

Robotics engineer with a 2024 internship building an end-to-end software stack for an autonomous humanoid robot that follows natural-language audio commands to make coffee and deliver snacks, including perception (OpenCV), mapping, and ROS Navigation. Also contributing to a robotics foundation model effort by building data preprocessing pipelines using GroundingDINO and SAM2, and has multi-robot coordination experience with algorithms designed to handle real-world communication drops.

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KV

Intern Robotics Engineer specializing in ROS2 autonomy and robotic simulation

Orono, Maine3y exp
Advanced Structures and Composites CenterUniversity of Maine

Robotics engineer/team lead who built an autonomous lunar rover for the NASA Lunabotics challenge, owning electrical systems, comms (UART/WiFi), and autonomy using RealSense + custom YOLO on a Jetson Orin Nano. Also has extensive ROS 2 experience, including creating a ROS2+Gazebo environment with ros2_control custom controllers for a large-scale additive manufacturing printer and research/thesis work in multi-robot coordination and robustness.

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KL

Kangjie Lu

Screened

Intern Full-Stack Software Engineer specializing in data pipelines and AI/ML systems

Beijing, China1y exp
Shanghai Wanwu Zhiyun Industrial Technology Co., Ltd.Carnegie Mellon University

Software engineer with experience building a Vue.js/TypeScript internal component library (with Jest testing standards) and improving JS runtime performance via profiling, code splitting, and lazy loading. Also led documentation and community support for a Python ML utility library, diagnosing metric-calculation bugs for imbalanced datasets and driving large reductions in support inquiries through targeted docs, tests, and rapid hotfixes in a startup environment.

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SS

Satvik Singh

Screened

Intern Machine Learning & Robotics Engineer specializing in computer vision and SLAM

Fremont, CA2y exp
CoolnessAIUC San Diego

Robotics software engineer with hands-on medical robotics experience on an automated CT-guided lung biopsy robot, building a CT-voxel-to-mesh pipeline that generates and visualizes up to 1000 collision-safe needle insertion points and ports them into robot space for IK execution. Strong ROS2 background spanning AprilTag perception, Kalman-filter state estimation, visual SLAM, and Voronoi-based motion planning, plus deployment work containerizing ORB-SLAM on ROS2 Humble and CI/CD automation at Siemens EDA using Perforce.

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YX

Yuan Xu

Screened

Junior Machine Learning Engineer specializing in multimodal AI and audio deepfakes detection

Berkeley, California3y exp
Scam AICarnegie Mellon University

Internship experience building production-oriented AI systems, including a real-time voice scam/spoof detector (RawNet + AASIST) hardened for noisy audio via aggressive augmentation and Zoom-based noise simulation, evaluated with EER on clean and wild datasets. Also built an LLM-driven UI automation agent using Playwright for apps like Linear/Notion with modular tool design, unit tests, and replayable scripted scenarios, and has AWS Step Functions experience orchestrating Lambda/Cognito workflows.

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SP

Mid-level Robotics & Software Engineer specializing in robot learning and simulation

Urbana-Champaign, USA3y exp
Robotic Perception, Interaction, and Learning Lab (RoboPIL)University of Illinois Urbana-Champaign

Robotics software engineer/researcher with hands-on real2sim experience for deformable manipulation: led real-world data collection and diffusion policy deployment on an Aloha robot, then built a MuJoCo + Gaussian-splat digital twin with point-cloud alignment. Also brings 3 years of production software engineering experience, including Docker/CI/CD and a zero-downtime Blue-Green upgrade of a core API router, plus ROS/ROS2 work spanning autonomous vehicles and UR20 pick-and-place with MoveIt2.

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SK

Senior Solutions Engineer specializing in AI automation and cybersecurity integrations

Cupertino, CA8y exp
LivePersonUniversity of Illinois Urbana-Champaign

Built and deployed custom AI chatbots at LivePerson, translating customer service pain points (e.g., MTTR reduction and fragmented information) into production RAG-based solutions with stakeholder-facing metrics dashboards. Experienced in real-time troubleshooting using Elastic logs, leading POCs, and integrating customer APIs to automate workflows as part of sales-driven solutioning.

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HD

Mid-Level Cloud/Software Engineer specializing in AWS and Salesforce integrations

Woodbridge, VA3y exp
RoarTech Inc.George Mason University

Customer-facing technical professional who designs solution architecture and builds PoCs for regulated customers, iterating via biweekly demos and direct feedback to reach production-ready implementations. Regularly delivers technical demos (~2/month for nearly a year) and partners with sales/customer-facing teams by refining technical implementations until they match customer requirements.

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ZZ

Zhixuan Zhu

Screened

Intern Software Engineer specializing in full-stack web apps and distributed systems

Los Angeles, CA1y exp
NeuroLeapUCLA

Backend/Full-stack engineer who built a Go-based API for a real-time eye-tracking system (calibration/recording/streaming) and debugged intermittent long-session timeouts through improved observability and concurrency refactors. Also shipped an LLM-driven "Doctor Simulator" product end-to-end (React/Node/Go/MongoDB/OpenAI), including structured prompts, deterministic verification/termination logic, and production guardrails like validation, retries, and prompt versioning.

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PM

Piyush Modi

Screened

Intern Software Engineer specializing in backend systems, cloud infrastructure, and ML/LLM tooling

Buffalo, New York2y exp
Juniper NetworksUniversity at Buffalo

Infrastructure-leaning engineer who has built real-time ML systems end-to-end: a Jetson-deployed adaptive Whisper ASR service (Flask + WebSockets, React/TS UI) and a high-throughput Postgres schema for live transcription. Also delivered customer-facing AI billing/OCR improvements for a dental startup (Dentite), boosting OCR performance by 38%, and has experience instrumenting open-source ML deployment stacks to add infrastructure visibility.

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Mahesh Kumar Duvvuri - Senior Full-Stack Software Engineer specializing in microservices and cloud-native systems in New York City, NY

Senior Full-Stack Software Engineer specializing in microservices and cloud-native systems

New York City, NY4y exp
JPMorgan ChaseUniversity of Dayton

Backend/infra engineer with experience across Nestle, J.P. Morgan, and Capgemini, combining ML systems work (YOLOv8/PyTorch object detection with TFLite edge deployment) with production-grade cloud/Kubernetes operations. Has delivered measurable impact via AWS migrations (25% cost reduction, 99.9% availability), microservice modernization (35% faster processing), and low-latency Kafka streaming for financial dashboards (<100ms) using DLQs and idempotent consumers.

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Yan-Liang Chen - Junior Robotics Systems Engineer specializing in autonomous planning and control in Champaign, Illinois

Junior Robotics Systems Engineer specializing in autonomous planning and control

Champaign, Illinois2y exp
University of Illinois Urbana-ChampaignUniversity of Illinois Urbana-Champaign

Robotics software engineer focused on autonomous surface vehicles, specializing in dynamic collision avoidance and regulation-compliant navigation. Extended ROS2 Nav2 by implementing a Velocity-Obstacle-based safety filter (as a DWA critic) and encoding COLREGs, plus built an end-to-end Gazebo+ArduPilot SITL stack and a ROS2 bridge translating Nav2 commands to ArduPilot for real-world deployment.

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Ajay Madhusudhan Thumala - Junior Software Engineer specializing in data engineering and LLM applications in Irvine, CA

Junior Software Engineer specializing in data engineering and LLM applications

Irvine, CA1y exp
GeisingerUC Irvine

Computer science engineer and master’s graduate who independently built a mechatronics-heavy capstone prototype: a smartphone concept for deafblind users using micro-actuator arrays for braille reading. Also has platform engineering experience at Quantiphi, deploying webhooks to Kubernetes and implementing GitOps-based CI/CD using AWS CodeCommit/CodeBuild and ECR.

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Nikhil Soni - Junior AI/ML Engineer specializing in LLM systems and retrieval-augmented generation in New York, NY

Nikhil Soni

Screened

Junior AI/ML Engineer specializing in LLM systems and retrieval-augmented generation

New York, NY2y exp
Quant AI ResearchNYU

Built and deployed a production LLM-powered market intelligence and decision-support platform for noisy, real-time financial data, using a high-throughput embedding + vector DB RAG architecture to reduce hallucinations while keeping latency and cost low. Operated it at scale with GPU-backed inference (continuous batching/quantization), FastAPI on Kubernetes, and Airflow-orchestrated ingestion/embedding/retraining workflows, with strong schema-based reliability and monitoring.

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Barath Kumar Jayachandran Kanchanamalini - Junior Robotics & Controls Engineer specializing in UAV autonomy and embedded systems in New York, NY

Junior Robotics & Controls Engineer specializing in UAV autonomy and embedded systems

New York, NY1y exp
Columbia UniversityColumbia University

Robotics software engineer focused on autonomous drones and mobile robotics: implemented a sliding mode inner-loop controller and a RealSense T265 VIO state-estimation pipeline integrated into ArduPilot EKF3 for GPS-denied indoor flight. Strong simulation-to-deployment experience (Gazebo/MAVROS to firmware), ROS2 networking/debugging, and hands-on validation through multi-sensor trials and log analysis.

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Venkata Phaneendra - Mid-Level Java Full-Stack Developer specializing in cloud-native microservices in United States

Mid-Level Java Full-Stack Developer specializing in cloud-native microservices

United States6y exp
State FarmMurray State University

Full-stack engineer with production ownership across React/TypeScript, Node/Express, and Postgres, including zero-downtime releases and rollbackable migrations. Demonstrated measurable performance wins (20% response-time reduction) through DB query profiling and batching, plus hands-on AWS operations (ECS/Lambda/CloudWatch) and reliability patterns for ETL (retries, DLQs, idempotency). Experience shipping microservices quickly in ambiguous, fast-paced environments (Deloitte).

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Jen-Hung Chang - Mid-level Software Engineer specializing in cloud infrastructure and distributed systems in Hsinchu, Taiwan

Mid-level Software Engineer specializing in cloud infrastructure and distributed systems

Hsinchu, Taiwan4y exp
TSMCDuke University

Backend/platform engineer who built an AI RAG system on FastAPI/Postgres/AWS with 10+ microservices, vector search optimization (ANN + two-stage re-ranking), and GitOps-driven CI/CD that cut deploy time from hours to minutes. Also deployed Java identity services on Kubernetes at TSMC for 200K+ users using ArgoCD/Azure Pipelines, and built a reliable real-time IoT pipeline (MQTT/Node/MongoDB) with strong consistency controls.

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Rajesh Nagula - Mid-level Robotics Software Engineer specializing in real-time control and perception in Manchester, NH

Rajesh Nagula

Screened

Mid-level Robotics Software Engineer specializing in real-time control and perception

Manchester, NH4y exp
DEKA Research & DevelopmentNYU

Robotics software engineer focused on controls and motion planning for autonomous flight systems using ROS 2 (rclcpp), Gazebo/RViz, and BehaviorTree.CPP. Has hands-on real-time control experience (1ms loop rate) and has improved system performance by tracing latency issues and refactoring vision components (singleton camera init). Also built low-latency Ethernet/TCP comms on top of the IgH Ethernet stack and uses digital-twin simulation (Gazebo, MuJoCo; beginner Isaac Sim) to validate algorithms.

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