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Vetted Teaching Assistants in the Bay Area
Pre-screened and vetted in the Bay Area.
Mid-level AI/ML Engineer specializing in LLM pipelines, RAG systems, and agentic automation
Junior Software Engineer specializing in cloud, ML, and music technology
Mid-level Robotics Software Engineer specializing in SLAM, LiDAR perception, and sensor fusion
Engineering Manager specializing in frontend platforms, AI features, and monetization
Mid-level Software Engineer specializing in backend platforms and FinTech
Senior Software Engineer specializing in FinTech data platforms
Junior Software Engineer specializing in autonomous vehicle perception and MLOps
Junior Solution Engineer specializing in energy storage systems and robotics
Emily MacPherson
Senior finance and business operations leader specializing in technology financial management
“Finance leader with roots in telecom and utilities who evolved from FP&A and product analysis into strategic technology business management. They have built cost transparency and total-cost-of-ownership capabilities for large-scale agile product transformations, delivering $41M in expense impact and helping reprioritize $200M+ in capital investments.”
Manav Bhasin
Junior Full-Stack Machine Learning Engineer specializing in production ML systems
“Software engineer who owned end-to-end delivery of customer-facing agricultural forecast reporting (crop yield/health) and iterated quickly via rigorous edge-case testing and customer feedback. Also built an internal ML training platform (TypeScript/React + Flask/Python + MongoDB) used by every developer, with architecture designed to stay responsive under heavy compute load.”
Shashank Garg
Engineering leader specializing in FinTech ML/AI platforms
“Engineering Manager/player-coach leading Data Infrastructure, ML/DS, and AI Engineering pods who recently shipped multiple production agentic GenAI features. Built privacy-preserving LLM workflows (PII redaction via Microsoft Presidio) and drove an AI expense-approval agent from ambiguous ask to GA, cutting approval time from ~2.5 days to <4 hours with >85% accuracy. Also owned a major LLM cost overrun incident and implemented cost observability plus circuit breakers to prevent runaway agent loops.”
Abdulla Chekfa
Staff Embedded/Real-Time Software Engineer specializing in EtherCAT and semiconductor automation
“Robotics software engineer with semiconductor wafer-handling automation experience at Mattson Technology, building C++ control software for ATM and vacuum robots coordinating through a load-lock (pressure/door/pump sequencing). Implemented multi-vendor communications with auto-detection across SECS serial and TCP/IP, and validated behavior using simulation + GUI animation, logging/sniffers, and hardware-in-the-loop testing; currently self-studying ROS 2.”
Senior Computer Vision Engineer specializing in medical imaging and deep learning
Junior Machine Learning Engineer specializing in NLP, search, and performance optimization
Mid-level Software Engineer specializing in Java/Spring microservices for FinTech
Intern Software Engineer specializing in backend systems and cloud tooling
Mid-level Technical Support/SRE specializing in observability and cloud data operations
Junior Software Engineer specializing in full-stack and data infrastructure
Junior Software Engineer specializing in Generative AI and full-stack development
Junior Software Engineer specializing in Python data pipelines and AI agents
Entry-level Software Engineer specializing in AI and machine learning
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.”