Pre-screened and vetted.
Senior Applications Engineer specializing in ERP Financial Systems and GenAI automation
Mid-level Full-Stack Engineer specializing in cloud-native microservices and data integrations
Junior Full-Stack Software Engineer specializing in SaaS and AI-powered web apps
Mid-Level Backend Software Engineer specializing in Java/Spring Boot microservices on AWS
Senior Data Engineer specializing in cloud data platforms and real-time pipelines
Mid-Level Software Engineer specializing in AI platforms and backend systems
Mid-level AI Engineer specializing in LLM orchestration and production AI systems
Mid-level Technical Artist specializing in real-time animation pipelines and Unreal Engine
Mid-level Software Engineer specializing in backend microservices and cloud-native systems
Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines
Senior QA Engineer specializing in test automation, API and performance testing
Senior Full-Stack Engineer specializing in cloud, web, and mobile platforms
“Full-stack product engineer who has owned end-to-end delivery of multi-client platforms: Finy (agriculture platform with 3 role-based web dashboards plus 2 field mobile apps) and Ugoku (Japanese studio platform with React/TypeScript dashboards, Node/Mongo backend, and mobile AR video playback). Strong in scalable architecture and performance—offline-first mobile for low connectivity, and AWS-based asynchronous video/AR processing with S3/CloudFront—plus building internal ops tools adopted quickly due to measurable workflow improvements.”
Senior Frontend/Full-Stack Engineer specializing in React and TypeScript
“Frontend engineer from Meltwater who led delivery of a universal post details modal used across multiple apps, integrating three different frontend frameworks (Vue, React, StencilJS) into a plug-and-play StencilJS feature. Built scalable, reusable UI components and even helped create an internal CSS library/design system, with a strong focus on performance optimization and reliable QA-driven rollouts.”
Mid-level AI/ML Engineer specializing in NLP, Generative AI, and fraud detection
“At PwC, built and productionized an agentic RAG enterprise search assistant over 6M internal documents (8M embeddings), deployed across AWS and GCP. Drove major retrieval gains (72%→92% precision via BM25+dense hybrid with RRF and cross-encoder re-ranking), reduced hallucinations 30%, achieved <2s latency at 50–60K queries/month, and cut support tickets 30%—boosting adoption to 2,500 users by adding source-cited answers.”
Senior Data Scientist specializing in analytics, experimentation, and BI on AWS
“Data/ML practitioner focused on healthcare data quality and record linkage: analyzed 10M+ records, built anomaly detection and NLP-driven entity resolution, and automated AWS ETL/validation pipelines (Glue/Redshift/Lambda), cutting data errors by 40% and generating $500k in annual savings. Has hands-on experience with embeddings (Sentence Transformers/spaCy), FAISS vector search, and fine-tuning for domain-specific matching.”
Junior Full-Stack Software Engineer specializing in cloud microservices and ML-driven products
“Backend engineer with hands-on ownership of Python/Flask microservices and recommendation systems across edtech and telecom. Deployed and operated real-time personalization/recommendation platforms on AWS EKS with Jenkins-based CI/CD, GitOps-style declarative configs, and strong observability practices. Has migration experience moving legacy mixed environments to modern containerized Kubernetes and built Kafka pipelines feeding ML services while managing schema evolution.”
Intern Robotics Software Engineer specializing in autonomy, perception, and control
“Robotics software engineer with hands-on experience building autonomy features across perception, planning, and systems integration—most notably for an autonomous lunar rover that detects and geometrically models craters to plan terrain manipulation. Also owned development of an autonomous stair-climbing module for a quadruped robot as an intern, and has real-time motion-planning/IK debugging experience on a Franka Panda using RGB-D (RealSense).”