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Vetted Deep Learning Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in full-stack data systems and cloud automation
Mid-Level Full-Stack Software Engineer specializing in scalable systems and GenAI
Mid-level Generative AI & Computer Vision Research Engineer specializing in diffusion and multimodal models
Mid-level Data Scientist / Software Engineer specializing in AI automation and cloud microservices
Junior Data Scientist specializing in cybersecurity and AI/ML
Junior Machine Learning Engineer specializing in deep learning and healthcare AI
Senior Robotics Software Engineer specializing in C++/Python and ROS2 navigation
Mid-level AI/ML Engineer specializing in cloud AI, MLOps, and NLP
Mid-level Data Analyst specializing in marketing analytics and machine learning
Junior Software Developer & QA Engineer specializing in test automation and AI/ML
Junior Full-Stack Engineer specializing in mobile apps and backend systems
Mid AI/ML Engineer specializing in LLMs, MLOps, and FinTech analytics
Mid-level AI/ML Engineer specializing in fraud detection and enterprise ML systems
sathwik kuchana
Mid-level AI Engineer specializing in Generative AI, LLMs, and RAG on AWS
“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.”
Pranava Reddy Kothapally
Junior Data Engineer specializing in Azure, CRM data pipelines, and marketing personalization
“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.”
Sourabh Tiwari
Mid-level Robotics Software Engineer specializing in ROS2 autonomy and computer vision
“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.”