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Vetted GitHub Professionals
Pre-screened and vetted.
Senior Full-Stack Software Engineer specializing in cloud platforms and healthcare data systems
Senior Software Engineer specializing in healthcare AI and cloud platforms
Senior Python Engineer specializing in cloud infrastructure, media services, and IoT
Staff Software Engineer specializing in healthcare microservices and data visualization
Senior AI/ML Engineer specializing in Generative AI, RAG, and MLOps for FinTech
Senior Software Engineer specializing in backend systems, connectivity testing, and cloud pipelines
Director-level Data & AI Engineering Leader specializing in cloud-native analytics and GenAI
Principal Data Scientist specializing in Generative AI and security analytics
Senior Backend Developer specializing in cloud APIs and microservices
Senior Full-Stack Engineer specializing in cloud-native AI SaaS platforms
Tolulope Akinlabi
Mid-level Cyber & Cloud Security Analyst specializing in AI/ML and cloud risk
“Built a production AI security compliance assessment system using the OpenAI API that ingests company policy documents, performs RAG over embeddings stored in Supabase/FAISS, and generates executive-level gap and maturity reports mapped to NIST CSF, SOC 2, and PCI DSS. Also developed a multi-agent trading assistant orchestrated with LangChain, combining live market data (Yahoo/Polygon.io), sentiment/technical indicators, LSTM-based forecasting, and LLM-generated recommendations.”
Staff Software Engineer specializing in SaaS platforms across Healthcare and FinTech
Senior Full-Stack Software Engineer specializing in cloud-native web apps and AdTech analytics
Jayaprakash Majji
Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and scalable inference
“ML/LLM engineer who built and shipped an LLM-powered internal knowledge assistant at Meta, focusing on production-grade RAG to reduce hallucinations and improve trust. Deep experience with scaling and serving (FSDP/DeepSpeed/LoRA, Triton, Kubernetes autoscaling) and reliability practices (Airflow retraining, MLflow versioning, monitoring with rollback), including sub-100ms latency and ~35% GPU memory reduction.”
Jonathan Goenadibrata
Mid-level Robotics & Automation Engineer specializing in PLC controls and ROS 2 systems
“Masters capstone lead for a search-and-rescue rover that maps earthquake-affected environments using ROS2, SLAM (Cartographer), Nav2, and computer vision (OpenCV/ArUco). Served as both project manager and systems/architecture integrator, debugging IMU-driven navigation issues via RViz and implementing an A*-based planning workaround; also designed a supervisor/robot-side architecture to scale toward multi-robot coordination.”
Sri Yogesh Dorbala
Engineering Manager / Tech Lead specializing in large-scale distributed systems
“Software engineer focused on personalization and data/ML infrastructure who built a GenAI/LLM-driven carousel ranking system end-to-end, delivering a reported 6–7% order-rate lift. Also designed large-scale personalization ETL (15PB for ~100M users) and created a custom Airflow operator to integrate with Databricks under enterprise version constraints, with hands-on on-call and data-quality reliability improvements.”
Staff Software Engineer specializing in Healthcare IT and mobile platforms
Mid-level Software Engineer specializing in backend and cloud microservices
Mid-Level Backend Software Engineer specializing in payments and real-time analytics
Senior Machine Learning Engineer specializing in LLMs and scalable MLOps
Executive Technology Leader specializing in SaaS platforms and Generative AI