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Vetted Object-Oriented Programming (OOP) Professionals
Pre-screened and vetted.
Intern Data Scientist / Software Engineer specializing in ML, computer vision, and cloud
Mid-level Software Engineer specializing in cloud-native microservices and real-time data pipelines
Senior Full-Stack Software Engineer specializing in Python/Django and modern JavaScript
Mid-Level Software Engineer specializing in cloud-native backend and LLM/RAG systems
Intern Software Engineer specializing in cloud infrastructure and distributed systems
Mid-Level Full-Stack Software Engineer specializing in microservices and cloud
Mid-level Full-Stack Engineer specializing in cloud DevOps and LLM applications
Mid-level Site Reliability Engineer specializing in Kubernetes observability and cloud infrastructure
Mid-level Full-Stack Software Engineer specializing in FinTech and cloud-native systems
Mid-level Software Engineer specializing in cloud-native microservices and ML-driven automation
Junior Software Engineer specializing in LLMs, RAG, and Knowledge Graphs
Mid-level AI/ML Engineer specializing in NLP, MLOps, and financial risk & fraud analytics
Intern AI/Backend Engineer specializing in LLM agents and cloud microservices
Mid-level QA Engineer specializing in manual and automation testing for web, mobile, and APIs
Mid-level Data Engineer specializing in GCP, Spark, and healthcare analytics
Mid-level Software Engineer specializing in Unity game development and graphics engineering
Kshitij Singh
Intern Software Developer specializing in healthcare data and systems analysis
“Candidate comes from SaaS and healthcare analytics rather than game development, but has strong end-to-end ownership experience building real-time, high-availability systems in Python/AWS. They highlight measurable impact across performance, throughput, uptime, and cost reduction, including queue optimization and predictive ICU utilization pipelines, and are looking to transfer that systems engineering foundation into Unity/gameplay work.”
Saffinah Shi
Junior Software Engineer specializing in full-stack, cloud serverless, and AI systems
“SDE who worked on an MGICS Lab robotics project building a multi-agent model to help agents understand tasks and generate robot instructions, emphasizing task-splitting, checking, and a reflection agent to improve accuracy. Also has experience using GitHub with automated CI/CD pipelines.”
Caden Cheah
Intern Full-Stack/ML Engineer specializing in LLM applications and mobile development
“Backend engineer who built a serverless AWS Lambda microservices backend for a parenting assistance mobile app, including a personalized recommendation system optimized to sub-500ms via precomputed scoring and DynamoDB caching. Demonstrates strong production pragmatism: CloudWatch-driven performance tuning (provisioned concurrency), zero-downtime phased schema migrations, and robustness patterns like optimistic locking and request deduplication. Also led a refactor of an LLM RAG pipeline to improve retrieval quality and cut latency from ~5s to ~3s.”
Anurag Patil
Mid-level Data Analyst specializing in machine learning, ETL, and real-world evidence analytics
“Developed and productionized an AI-driven "indication finding" system for AbbVie to identify additional diseases a drug could target, working closely with clinical research teams on cohort inclusion/exclusion criteria and disease rollups. Leveraged an LLM to map clinical inputs to ICD codes and built configuration-driven ML pipelines (Cloudera ML, YAML, scheduled jobs) with structured testing and evaluation for reliability.”