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Vetted Teaching Assistants
Pre-screened and vetted.
Junior Software Engineer specializing in Generative AI and full-stack development
Junior QA Engineer specializing in test automation for Android and web
Mid-level Business Analyst specializing in business intelligence and analytics
Director-level Biostatistics & Data Science leader specializing in clinical trials and RWE
Junior Software Engineer specializing in Python data pipelines and AI agents
Mid-level Software Engineer specializing in Data Engineering, ML, and Generative AI
Mid-Level Full-Stack Software Engineer specializing in FinTech and AI/LLM systems
Junior Computer Engineering researcher specializing in robotics, autonomy, and computer vision
Junior Data Scientist / Software Engineer specializing in forecasting, ETL, and full-stack systems
Mid-Level Full-Stack Software Engineer specializing in cloud platforms and applied AI
Mid-level Backend/Cloud Software Engineer specializing in Java, AWS, and microservices
Junior Full-Stack Software Engineer specializing in React/Next.js and Node.js
Junior Robotics Engineer specializing in UAV autonomy and perception
Junior Technical Solutions Engineer specializing in Epic EMR and healthcare IT
Aashish Pokhrel
Mid-level DevOps Engineer and CS researcher specializing in cloud automation and ML/quantum tooling
“Research-focused software engineer who builds performance-critical Python/C++ systems emphasizing correctness, state-transition precision, and distributed coordination. Created an automated simulation-based testing/validation framework for quantum programs that caught subtle logic/type errors early, reduced debugging time, and improved developer confidence through strong observability and scalable test generation.”
Mohana Satyanarayana Moganti
Mid-Level Software Engineer specializing in Cloud Infrastructure and Full-Stack Platforms
“Built and shipped a production LLM-powered grading platform that automates rubric-aligned scoring and feedback, with strong guardrails (RAG grounding, structured JSON, validation/retries) and operational rigor (metrics, drift monitoring). Experienced using CrewAI to orchestrate multi-agent workflows end-to-end and validating quality via gold-set benchmarking against human graders with regression testing on every prompt/model change.”
Christina Darstbanian
Mid-level DevOps & Cybersecurity Software Developer specializing in IAM/CIAM automation
“Frontend engineer who led the end-to-end UI for an internal employee catalog tool at Genetec, building React/TypeScript dashboards with complex search filters. Emphasizes tight product-owner feedback loops (weekly demos), Figma-based design alignment, and disciplined delivery practices using CI/CD, automated tests, and version tagging for rollouts/reverts.”
Venkatesh Nagubandi
Mid-level Software Engineer specializing in ML, LLM apps, and cloud data systems
“Built a production SQL chatbot for access-log analytics that replaced manual custom report requests with natural-language querying, using LangGraph and a ChromaDB-backed RAG pipeline for grounded, consistent answers. Implemented a privacy-preserving design where the LLM never sees raw customer data (only query metadata) and has experience building multi-agent/tool-calling systems with LangGraph (DeepAgents), including solving sub-agent communication drift via self-reflection.”
Bhavya Surana
Junior Software Engineer specializing in distributed systems and AI automation
“Backend engineer/technical lead with experience building and operating real-time blockchain analytics systems at Merkle Science. Owned high-traffic Django/DRF services and Kafka streaming pipelines processing millions of events daily, with deep focus on performance (N+1 fixes, indexing, caching) and reliability (DLQs, retries, monitoring). Also led containerization and Kubernetes/GitOps-style CI/CD on Google Cloud, including a migration off Google App Engine to reduce cost and improve scalability.”