Vetted OpenCV Professionals

“Built and deployed an LLM-powered clinical decision support and risk monitoring platform for mental health at Valuai.io, emphasizing low-latency, evidence-grounded responses and crisis-safe behavior with clinician escalation. Strong production agent-orchestration background (LangChain/CrewAI) plus rigorous evaluation (clinician-in-the-loop + evaluator agent) and large-scale synthetic testing; also applied multi-agent workflows to document verification and fraud detection during an AI internship at Nixacom.”

“AI/back-end engineer at Canon who helped build and operate an internal production LLM platform that acts as a secure middle layer between users and models, defending against jailbreaks/prompt injection while enabling RAG, memory, and grounded responses over company data. Experienced with LangChain/LangGraph orchestration, vector DB retrieval, and reliability practices (testing, monitoring, adversarial prompts) to run high-throughput, low-latency AI workflows in production.”

Aidan O'Hare

Screened ReferencesStrong rec.

Junior Robotics & Controls Engineer specializing in SLAM and multi-robot systems

Santa Clara, CA3y exp

“Robotics software engineer with deep ROS/ROS 2 experience spanning both simulation and real hardware. Led a Master’s thesis building a decentralized multi-robot control stack in ROS 2 (Isaac Sim + Nova Carter), implementing nonlinear MPC (casADI) and RRT* planning with SLAM/3D LiDAR, and tackled tricky frame-convention integration issues. Previously built an autonomous quadruped for first responders (PACRR), integrating LiDAR/RGB-D/IMU sensors and tuning navigation behavior through iterative field testing.”

Pranava Reddy Kothapally

Screened ReferencesStrong rec.

Junior Data Engineer specializing in Azure, CRM data pipelines, and marketing personalization

Hyderabad, India2y exp

“LLM/AI engineer who has deployed production RAG conversational analytics and Text-to-SQL systems over Snowflake and curated data marts, emphasizing enterprise-grade guardrails for accuracy, security, and cost. Notable for a structured approach to reducing hallucinations (curated metric/table registry, SQL validation, RBAC, and citation-backed responses) and for building resilient, observable multi-step agent workflows using LangChain/LlamaIndex and Airflow.”

“ML/NLP practitioner who has delivered production systems in regulated domains, including a healthcare compliance pipeline using RAG (GPT-4/Claude) plus TF-IDF retrieval that increased document review throughput 4.5x. Also has hands-on experience improving fraud detection data quality via entity resolution (Levenshtein, Dedupe.py) validated with A/B testing, and building scalable, monitored workflows with Airflow, CI/CD, and AWS SageMaker.”

Parvesh Garg

Screened ReferencesStrong rec.

Unity Team Lead specializing in multiplayer games and AR/VR

Greater Noida, UP, India14y exp

“Unity gameplay programmer with Photon-based multiplayer experience who built a real-time player feedback system (instant animation/VFX/audio + score updates) using events/ScriptableObjects to keep gameplay and UI decoupled. Has tackled movement desynchronization under variable latency with client-side prediction/interpolation and uses AI tools to speed up prototyping and balancing for a procedurally generated, math-based casual game.”

“Robotics software engineer from Bigbot who led localization and perception for an outdoor autonomous delivery robot, building ROS2/Nav2-based autonomy with EKF sensor fusion (IMU/odometry/GPS) and perception-driven dynamic costmaps. Experienced taking systems from Gazebo simulation to real-robot deployment, optimizing real-time behavior via logging-driven debugging and latency reduction, and integrating heterogeneous comms (MAVROS/MAVLink, UART/CAN, MQTT) for distributed and multi-robot setups.”

Zueva Tatiana

Screened ReferencesStrong rec.

Senior Software Engineer specializing in XR, 3D systems, and computer vision

Russia5y exp

“XR/Unity engineer with hands-on ownership of high-performance 3D reconstruction and visualization systems, including a Gaussian Splatting pipeline that improved target-device performance from ~20 FPS to 60+ FPS. Also brings multiplayer XR experience with Photon Fusion, cross-platform Quest/mobile shipping experience, and AI-driven NPC dialogue integration using a self-hosted rule-based backend. Based in Moscow and open to remote work across time zones.”

“Robotics software engineer with experience spanning safety-critical embedded medical hardware (low-cost neonatal baby warmer with PID temperature regulation) and advanced multi-robot planning research (belief-space planning with abstraction + MCTS to handle uncertainty). Strong ROS/ROS2 practitioner (Nav2/SLAM Toolbox/MoveIt) who builds custom packages (e.g., Insta360 panoramic imaging) and is hands-on debugging real robots from SLAM/frontier exploration to multi-robot collision avoidance and real-time performance.”

“Built a production-grade LLM evaluation and regression system that stress-tests models across hundreds of iterations, combining LLM-as-judge, semantic similarity, statistical metrics, and rule-based checks, with results delivered via stakeholder-friendly HTML reports and dashboards. Experienced orchestrating multi-agent RAG workflows using LangChain/LangGraph and event-driven GenAI pipelines in n8n integrating OCR, speech-to-text, and external APIs, with strong emphasis on reliability, observability, and explainable failures.”

“Built a production-grade, semi-automated document recognition and classification system for large volumes of scanned PDFs, starting from little/no labeled data and handling highly variable scan quality. Deployed on AWS using SageMaker + Docker and orchestrated on EKS with a microservices design that scales CPU-heavy OCR separately from GPU inference, with strong reliability controls (validation, fallbacks, retries, readiness probes).”

“Robotics/embedded developer with hands-on ROS 2 and micro-ROS experience on ESP32, building a remote-controlled high-power LED system. Worked across power distribution (buck-boost constant 30V), sensor calibration with real-time data checks, and long-range WiFi connectivity using an omnidirectional antenna achieving 100m+ coverage.”

“Built and deployed a production-grade, multi-agent Text-to-SQL assistant that lets non-technical stakeholders query large enterprise databases in natural language. Uses Pinecone-based schema retrieval + LLM reasoning (Gemini/Claude/GPT) with a dedicated validation agent (schema/syntax checks and safe dry runs) to reduce hallucinations and improve reliability, while optimizing latency and cost via async execution and embedding caching.”

Rohit Jaiswal

Screened

Junior Software Engineer specializing in full-stack web and AWS cloud automation

Syracuse, NY2y exp

“Software developer with experience delivering and deploying customer-facing web applications, including an investment-focused platform requiring PostgreSQL/SQL optimization and hierarchical (adjacency list) data modeling. Has integrated payment APIs for a retail/antique shop use case, factoring in rate limits and documentation-driven implementation, and has handled time-sensitive production bugs via rapid replication and hotfix deployment.”