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Vetted C++ Professionals

Pre-screened and vetted.

AK

Ashutosh Khatavkar

Screened ReferencesStrong rec.

Mid-level SDET/Software Engineer specializing in test automation and CI/CD

Syracuse, NY3y exp
UbisoftSyracuse University

AAA game QA professional from Ubisoft (For Honor) with deep live-service multiplayer experience. Known for owning network/competitive integrity risks and building a custom network simulation tool to reliably reproduce desync issues, accelerating debugging and saving 100+ hours. Strong end-to-end QA process skills spanning test planning, triage, regression, and release verification using JIRA/TestRail.

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US

Urvish Shah

Screened ReferencesStrong rec.

Mid-level Robotics Software & Systems Engineer specializing in ROS2 multi-robot autonomy

Buffalo, NY4y exp
Indian Institute of Technology GandhinagarUniversity at Buffalo

Robotics software engineer with ROS2 multi-robot experience spanning decentralized signal source localization (LoRa RSSI on TurtleBot3) and a master’s-thesis project on collaborative object transportation with 4 robots. Strong in sim-to-real debugging—implemented noise modeling (RBF) and practical hardware/coordination fixes (CoG tuning, clock sync/flags) to make algorithms work reliably on real robots.

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IP

Igor Prizzi

Screened ReferencesStrong rec.

Senior Game Programmer specializing in Unity gameplay systems and animation tech

London, United Kingdom19y exp
Outright GamesUniversity of Catania

Unity developer with cross-platform shipping experience (console and mobile) who optimized an open-world game to run on Nintendo Switch at 30 FPS by building a dynamic character pooling/occlusion-culling management system that created the illusion of hundreds of NPCs with only ~30 active. Has owned core character systems (player/NPCs, customization, interactions) and also applies AI tools to rapidly iterate on personal projects like a profitable trading bot strategy.

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SM

Sai Manikanta Kasireddy

Screened ReferencesStrong rec.

Mid-level Machine Learning Engineer specializing in cloud-native GenAI and RAG systems

5y exp
Revstar ConsultingUniversity of North Texas

Built and productionized an internal GenAI chatbot that makes company policy/SOP knowledge instantly searchable, using a secure RAG architecture on AWS (Bedrock/Titan embeddings/OpenSearch Serverless, Textract/Lambda/S3 ingestion, Claude 3 Sonnet). Demonstrates strong MLOps/orchestration experience (Airflow, Step Functions with Lambda/Glue/SageMaker) and a rigorous reliability approach (RAGAS metrics, A/B testing, citation validation, monitoring), including collaboration with compliance stakeholders via review dashboards.

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AS

Amrit Srivastava

Screened ReferencesStrong rec.

Junior Software Engineer specializing in robotics simulation and machine learning

3y exp
Action LabMichigan State University

Undergraduate AI/robotics research assistant who built a city-scale robotics simulation stack for embodied question answering, including JSON-driven environment generation and a ROS 2 pipeline bridging Isaac Sim sensors (CV/LiDAR) to external ML/RL algorithms. Also created and deployed an open-source library workflow tool adopted across multiple local libraries, using GitHub Actions CI/CD for signed releases and automated updates.

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VS

Venkata Siva Sai Prathyush Kolli

Screened ReferencesStrong rec.

Intern Robotics Software Engineer specializing in ROS2 multi-robot autonomy

Newark, DE1y exp
University of DelawareUniversity of Delaware

Robotics intern at the University of Delaware who built and debugged ROS2-based multi-robot coordination systems, focusing on real-time reliability (timestamp alignment, latency/jitter instrumentation, QoS/executor tuning). Also improved SLAM stability by fixing LiDAR/encoder synchronization and tuning state-estimation parameters, with a simulation-first workflow using Gazebo and Docker/CI for reproducible deployments.

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PK

Praniket Ketan Walavalkar

Screened ReferencesStrong rec.

Junior AI Software Engineer specializing in RAG agents and cloud data platforms

Seattle, WA1y exp
University of WashingtonUniversity of Washington

AI Software Engineer (student employee) at University of Washington IT who helped deploy "Purple," a governed, explainable LLM platform on Azure used by 100,000+ students/faculty/staff. Independently led scalable reliability efforts by building automated agent quality/load/red-team testing and CI/CD health validation (Playwright/Node.js, Azure DevOps), and previously built an explainable AI scheduling assistant for clinical operations at Proliance Surgeons.

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RZ

Rui Zhao

Screened ReferencesStrong rec.

Junior Machine Learning Engineer specializing in semantic search and retrieval systems

Los Angeles, CA1y exp
University of Southern CaliforniaUSC

Built and shipped a production RAG system (“TROJAN KNOWLEDGE”) for answering questions over technical PDFs, using a 3-stage retrieval stack (BM25 + FAISS + cross-encoder) to lift F1 from 71% to 84%. Drove major performance gains with a 3-level cache (memory/Redis/disk) cutting latency from ~200ms to ~10ms, and added Prometheus/Grafana monitoring plus LangChain-based fallback logic to handle OpenAI rate limits under load.

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SS

Sesha SaiSrikar Gaddam

Screened ReferencesStrong rec.

Intern Mechanical Engineer specializing in robotics design and CAD

Remote1y exp
JerseySTEMArizona State University

Robotics engineer focused on MATLAB-based simulation and system-level/mechanical aspects of robot safety and coordination. Built an obstacle detection/collision-avoidance approach for a SCARA robot in shared human workspaces and optimized a swarm robotics simulation via priority-based task allocation and congestion-aware routing; currently ramping up on ROS concepts and interested in Gazebo + Docker/CI/CD for end-to-end robotics workflows.

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NB

Noah Bertschmann

Screened ReferencesStrong rec.

Mid-level Robotics Software Developer specializing in ROS and autonomous mobile robots

Kitchener, Canada4y exp
AvidbotsWestern University

System-level robotics software engineer with production experience in both ROS 1 and ROS 2 who served as technical owner for an initial ROS1→ROS2 migration, including catkin→ament/colcon and refactoring core communication nodes. Strong in hardware-validated integration work—debugged intermittent message drops by tuning ROS 2 QoS for embedded firmware interfaces and stabilized real-time navigation behavior through timing/telemetry analysis and cross-team coordination.

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TF

Timothy Flechtner

Screened ReferencesStrong rec.

Executive Technology & Product Leader specializing in games, platforms, and real-time systems

23y exp
Night Street GamesUniversity of Wisconsin–Madison

Engineering leader with gaming and fintech/trading-firm experience who built a sponsor-funded gaming rewards platform (AmEx-style) requiring integrations across Steam/Epic/Xbox/PlayStation and Discord. Emphasizes production-grade, 12-factor delivery with Terraform/Docker/CI/CD and automated testing, plus pragmatic org scaling and remote-team culture built on aligned autonomy and trust.

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TJ

Toby Jones

Screened ReferencesStrong rec.

Senior Unity Engineer specializing in VR/AR and game systems

17y exp
PerchangUniversity of Leicester

Unity generalist and lead engineer with shipped Meta Quest VR experience, including leading the refactor of BoxVR into FitXR (subscription multi-studio fitness app) and running the core tech team. Also built and shipped a mobile wingsuit game (Wingsuit Pro) with one artist that reached #1 in Sports in 8 regions, demonstrating strong gameplay iteration and performance optimization expertise.

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AP

Junior Data Scientist / Software Engineer specializing in data pipelines and applied ML

Boston, MA1y exp
True Light EnergyWorcester Polytechnic Institute

Built a production RAG chatbot for Worcester Polytechnic Institute that indexes 500+ webpages using FAISS + Llama 3, with strong grounding/hallucination controls (confidence thresholds and citations). Also has internship experience orchestrating multi-step ETL pipelines with AWS Step Functions and delivered a 30x faster fraud/claims triage workflow at Munich Re using association rules and stakeholder-friendly dashboards.

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SS

Mid-level Full-Stack Engineer specializing in cloud-native microservices and healthcare portals

Columbus, OH5y exp
Molina HealthcareIllinois Institute of Technology

Backend/platform engineer in healthcare and consulting (Molina Healthcare, TCS) who productionized real-time eligibility/authorization and care navigation workflows with strong reliability and HIPAA security. Demonstrated measurable performance gains (≈40% latency reduction, ~99% uptime) using Spring Boot APIs, SQS decoupling, Redis caching, and deep observability, and regularly leads technical demos that accelerate client adoption.

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NJ

Mid-level AI/ML Engineer specializing in Generative AI and RAG pipelines

NJ, USA6y exp
Molina HealthcarePace University

AI/LLM engineer with healthcare domain experience who built a production clinical support “chart bot” for Molina, including PHI-safe ingestion of 200k+ PDF policies, vector retrieval, and a fine-tuned LLaMA served via vLLM on ECS Fargate. Demonstrated measurable performance wins (HNSW + namespace partitioning; 30% inference latency reduction) and a rigorous evaluation/monitoring approach, while partnering closely with nurses and operations teams to shape workflows and guardrails.

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RG

Rishabhh Garg

Screened

Software Engineer specializing in full-stack development and AI/ML automation

Needham, MA4y exp
First Help FinancialNortheastern University

Backend Python engineer focused on production-grade automation and reliability, with hands-on experience designing scalable API systems on PostgreSQL and making pragmatic architecture calls (modular monolith over premature microservices). Demonstrated measurable performance wins (50–60% latency reduction) and strong operational rigor via observability, incremental rollouts/feature flags, and security patterns like JWT + RBAC + database row-level security.

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MP

Mid-level Full-Stack Engineer specializing in cloud-native microservices and FinTech systems

5y exp
Saayam for AllArizona State University
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HS

Senior Software Engineer specializing in backend APIs and cloud-native services

Minneapolis, MN10y exp
Wells FargoUniversity of Minnesota
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AM

Senior QA Engineer specializing in AEM and test automation

Clifton, NJ12y exp
JakalaNJIT
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ML

Director-level Development Manager specializing in AWS cloud and DevOps

Dallas, TX24y exp
KemperUniversity of Denver
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CR

Mid-level Machine Learning Engineer specializing in MLOps and production ML systems

TX, USA5y exp
CignaUniversity of North Texas
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GP

Mid-Level Full-Stack Software Engineer specializing in Cloud, Microservices & Distributed Systems

USA6y exp
State StreetCalifornia State University
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CK

Mid-Level Full-Stack Software Developer specializing in enterprise web applications

Oklahoma City, OK2y exp
PaycomOklahoma State University
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SM

Mid-level Data Scientist specializing in ML and Generative AI (LLMs, NLP, Computer Vision)

FL, USA6y exp
Spirit AirlinesColorado State University
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