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Vetted PyTorch Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in generative AI and MLOps
Mid-Level Full-Stack Software Engineer specializing in cloud-native FinTech and ERP systems
Mid-level AI/ML Engineer specializing in cloud MLOps and scalable model deployment
Mid-level Data Scientist / Machine Learning Engineer specializing in NLP and computer vision
Mid-level Data Scientist / AI/ML Engineer specializing in Generative AI and healthcare analytics
Senior GenAI Engineer specializing in LLM agents and insurance automation
Mid-level Full-Stack AI Engineer specializing in agentic LLM platforms
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices
Mid-level Machine Learning Engineer specializing in MLOps and applied data science
Executive IT Leader / Deputy CIO specializing in enterprise architecture, cybersecurity, and cloud transformation
Mid-level Full-Stack Software Engineer specializing in GenAI and SaaS platforms
Mid-level AI Engineer specializing in NLP, computer vision, and MLOps
Senior AI/ML and Full-Stack Engineer specializing in cloud platforms and LLM applications
Nimsy Duddu
Mid-level AI/ML Engineer specializing in LLMs, RAG, and cloud MLOps
“Backend engineer with insurance/claims domain experience who modernized legacy claims processing systems to support AI-assisted claim review. Emphasizes production-ready API design in Python/FastAPI (schemas, async, caching, graceful degradation), strong observability with Prometheus, and layered security including JWT auth plus database row-level security (Supabase/Postgres).”
Dhruvil Chodvadiya
Mid-level Full-Stack Developer specializing in FinTech, Healthcare IT, and Generative AI
“Full-stack + ML engineer who built “Finsight,” a real-time financial risk platform (React/FastAPI/MongoDB/AWS Lambda) processing 2M+ records monthly, using sharding and Redis caching (60% DB load reduction) plus async and batch optimizations. Also has healthcare product experience at Apollo Healthcare, partnering directly with clinicians/admins to design and iterate EHR dashboards via Figma prototyping and user testing, and demonstrates clear system design thinking for real-time voice-to-LLM architectures.”
Srikanth Natarajan
Junior Robotics Engineer specializing in perception, SLAM, and reinforcement learning
“Robotics software engineer with hands-on ROS 2 experience across drones, mobile robots, and manipulators. Built an end-to-end visual SLAM + navigation stack on a real robot using RTAB-Map, and implemented ROS 2-based coordination between a mobile robot and manipulator for camera-triggered object pickup. Optimizes real-time behavior by moving performance-critical code to C++ and deploying TensorRT-compressed models.”
Meet Jain
Mid-level Autonomous Robotics Engineer specializing in ROS2, SLAM, and perception
“Robotics software engineer with deep ROS2 experience who built a modular autonomous robotics stack (perception/sensor fusion, localization+mapping, and planning). Led development of a LiDAR+camera fusion and multi-object tracking pipeline (PCL + YOLO + Kalman filtering) and debugged real-time SLAM/localization issues via QoS/timestamp synchronization, EKF tuning, and SLAM Toolbox parameter optimization using Gazebo/RViz and rosbag replay.”
Kajol Khatri
Senior Software Engineer specializing in backend, DevOps, and LLM-powered systems
“Backend-focused Python engineer who has owned production FastAPI services deployed on Kubernetes, including CI/CD (GitLab CI to ECR) and GitOps delivery via ArgoCD/Helm. Has hands-on experience with complex reliability and infrastructure work—solving data inconsistency with validation/partial-data paths, fixing K8s liveness issues via lazy loading, and supporting a phased cloud-to-on-prem migration with dual-writes and monitoring. Also built Kafka-based real-time ingestion consumers handling bursty, high-throughput traffic with async processing and topic/retention tuning.”