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Vetted Pinecone Professionals
Pre-screened and vetted.
“Built a production AI-powered university marking system that automates question generation and grading from PDF course materials using a RAG pipeline (S3 + Pinecone) orchestrated with LangChain/LangGraph and deployed on AWS ECS via Docker/ECR and GitHub Actions CI/CD. Addressed a key real-world LLM challenge—grading consistency—by implementing rubric-based scoring, retrieval re-ranking, and standardized context summarization, validated against human instructors.”
Tharun Chowdary Malepati
Mid-level AI/ML Engineer specializing in GenAI, NLP, and production MLOps
“AI/LLM engineer who built and deployed a production healthcare RAG chatbot ("DoctorBot") with strict medical safety guardrails, an 85% confidence-gated verification layer, and latency optimizations that cut responses from ~8s to ~2–3s. Also worked on finflow.ai to generate finance/banking test cases from BRDs, collaborating closely with non-technical domain stakeholders, and has hands-on orchestration experience with LangChain/LangGraph and agentic evaluation/monitoring practices.”
Ahmad Alomari
Senior Data Scientist & Machine Learning Engineer specializing in computer vision and production ML
“PhD in computer engineering who has built production-oriented ML/NLP systems for space-weather prediction using Spark-based ETL on noisy satellite sensor logs. Strong in entity resolution and semantic search—fine-tuned E5 embeddings with contrastive learning and deployed to Pinecone, improving top-5 retrieval precision by 25%—and emphasizes scalable, observable pipelines with Airflow, Docker, and CI/CD.”
Asad Abdul
Mid-level Full-Stack Developer specializing in AI-driven cloud-native applications
“Full-stack engineer with healthcare/ops analytics experience at PatientXpress, shipping a real-time operational dashboard end-to-end (React/TypeScript + Node/Postgres on AWS) that cut manual reporting by 50%. Strong in performance and reliability work—pagination/caching, Postgres indexing/partitioning, Terraform-based AWS provisioning, CI/CD with GitHub Actions, and production incident response with improved monitoring (CloudWatch/Prometheus).”
Mid-Level Full-Stack Software Engineer specializing in AI-powered web applications
Mid-level Generative AI Engineer specializing in LLMs and RAG for enterprise and FinTech
Junior Full-Stack Software Engineer specializing in AI-driven web applications
Senior Machine Learning Engineer specializing in computer vision, NLP, and LLM applications
Senior Software Engineer specializing in Golang backend, cloud-native systems, and LLM/RAG platforms
Senior Full-Stack Software Engineer specializing in cloud-native microservices and distributed systems
Junior AI Engineer specializing in LLM agents, RAG, and computer vision
Staff Full-Stack Engineer specializing in scalable cloud services and system modernization
Senior AI Engineer & Data Scientist specializing in LLM agents and forecasting
Junior Full-Stack Software Engineer specializing in cloud, data platforms, and AI agents
Junior AI Engineer specializing in LLM applications, RAG pipelines, and cloud deployment
Mid-level AI Engineer specializing in Generative AI and LLM agent systems
Senior AI/ML Engineer specializing in NLP, computer vision, and MLOps
Mid-level Software Engineer specializing in AWS, Python, and RAG-based LLM systems
Mid-level Full-Stack Engineer specializing in React/Next.js, AWS, and LLM-powered apps
Junior Data Scientist specializing in production ML, LLM systems, and cloud analytics