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Vetted Containerization Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in cloud AI, MLOps, and NLP
Senior Full-Stack Product Engineer specializing in AI, Cloud, and regulated domains
Mid-level AI Engineer specializing in LLMs, RAG, and enterprise analytics
Mid-Level Full-Stack Java Developer specializing in React, Spring Boot, and cloud microservices
Mid-level AI/ML Engineer specializing in GenAI, RAG, and multi-agent LLM systems
Mid-Level Software Engineer specializing in cloud-native full-stack and DevOps
Senior DevOps & AWS Cloud Engineer specializing in scalable, secure cloud infrastructure
Junior Full-Stack Software Engineer specializing in React, Node.js, and cloud-native microservices
Mid-level Machine Learning Engineer specializing in distributed AI systems
Mid-level Full-Stack Software Engineer specializing in AI-powered document platforms
Director-level product and engineering leader specializing in FinTech and EdTech
Senior Full-Stack Engineer specializing in frontend architecture and scalable web platforms
Senior Software Engineer specializing in FinTech and digital banking
Senior Python Backend Engineer specializing in scalable APIs, cloud microservices, and AI/ML platforms
Senior Full-Stack Software Engineer specializing in Python/Django and React/TypeScript
Senior DevOps/Cloud Engineer specializing in AWS infrastructure and CI/CD automation
Naveen Kancharla
Mid-level AI & Backend Engineer specializing in RAG systems and scalable APIs
“Built and deployed a production LLM-powered document Q&A system using a strict RAG pipeline (LangChain-style orchestration + FAISS) to help users query large internal document sets. Demonstrates strong reliability focus through hallucination mitigation, curated offline evaluation with grounding checks, and production monitoring (latency/fallback rates) plus stakeholder alignment via demos and business metrics.”
Balaji Vellaluru
Mid-level Software Engineer specializing in full-stack and computer vision systems
“Built D.O.C.T.O.R, a 0-to-1 anatomy learning platform with 450+ 3D models that reached 6,500+ users, saved $850K versus a costly alternative, and was featured in a University of Illinois Chicago news article. The candidate combines product initiative with hands-on full-stack execution, spanning React/Three.js, databases, auth, analytics, and AI workflow automation side projects.”
DhanushKautilya Kammaripalle
Junior AI Integration Engineer specializing in LLM agents and RAG on cloud platforms
“Built and deployed LLM-powered features for a startup organizational management application, focusing on real-world deployment constraints like latency and cost. Implemented RAG with FAISS and improved retrieval quality by switching embedding models (OpenAI/Hugging Face) and fine-tuning embeddings on medical corpora for a medical-report UI feature. Uses LangChain and LangGraph to orchestrate multi-node LLM API workflows and evaluates systems with metrics like latency, cost per request, and error taxonomy.”
Maneesh Ujji
Junior Machine Learning & Data Science professional specializing in AI agents and applied ML
“IT Analyst/research background with hands-on experience deploying and hardening a multi-agent AI support/triage system (ticket ingestion + knowledge-base retrieval) with strong emphasis on reliability and observability. Has debugged real production issues spanning backend services and network latency (sync failures/partial writes) and is comfortable in Linux environments; also has academic exposure to robotics simulation and ROS2.”
Ridwan Oladipupo
Senior Frontend Engineer specializing in React, Node.js, and AWS
“Frontend engineer who led the Dash Merchant App and Backoffice platform (React/TypeScript/Redux) supporting $50M+ in monthly transactions. Focused on scalable architecture and reliability—introduced typed API layers, centralized error handling, and performance optimizations (including ~40% load-time reduction) while driving team adoption through incremental refactors, templates, and pairing.”
Nobin Johnson
Mid-Level Software Engineer specializing in full-stack, cloud, and mobile development
“Backend engineer with open-source web3.js contributions focused on preventing costly smart-contract execution failures, plus hands-on blockchain startup experience scaling an NFT mint from a test EC2 setup to AWS Lambda/API Gateway under extreme concurrency. Built a multiplayer backend improving tick rate from 40 Hz to 105 Hz using UDP, containerization, and Kubernetes, and has healthcare production support experience across 10+ apps. Also publishes IEEE research papers and produces developer-friendly documentation that accelerates team adoption.”