Vetted Teaching Assistants

Pre-screened and vetted.

Akshit Gaur - Mid-level AI Engineer specializing in LLM agents, evaluation pipelines, and microservices in Mountain View, CA

Mid-level AI Engineer specializing in LLM agents, evaluation pipelines, and microservices

Mountain View, CA4y exp
Carnegie Mellon UniversityCarnegie Mellon University
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Azalea Bailey - Intern Machine Learning Engineer specializing in LLM agents and RAG systems in San Francisco, CA

Intern Machine Learning Engineer specializing in LLM agents and RAG systems

San Francisco, CA3y exp
AutodeskUC Berkeley
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HK

Senior Software Engineer specializing in cloud storage and infrastructure

Boston, MA6y exp
Wasabi TechnologiesColumbia University
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Shreyas Kulkarni - Intern Product Manager specializing in FinTech and AI-powered consumer apps in Philadelphia, PA

Intern Product Manager specializing in FinTech and AI-powered consumer apps

Philadelphia, PA2y exp
KIROUniversity of Pennsylvania
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Jack Leckert - Junior Robotics Software Engineer specializing in GNSS localization, perception, and controls in San Francisco, CA

Junior Robotics Software Engineer specializing in GNSS localization, perception, and controls

San Francisco, CA2y exp
Swift NavigationUC Berkeley
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ME

Senior NLP Research Scientist specializing in summarization, argument mining, and LLM evaluation

Pittsburgh, PA8y exp
University of PittsburghUniversity of Pittsburgh
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IK

Junior Embedded Systems Engineer specializing in EV battery swap and robotics

1y exp
Cornell UniversityCornell University
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TH

Mid-level Machine Learning Research Engineer specializing in foundation models and GenAI

Maryland4y exp
Johns Hopkins University Applied Physics LaboratoryJohns Hopkins University
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SK

Junior Software Engineer specializing in cloud infrastructure and database tooling

Brooklyn, NY2y exp
PayPalNYU
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GB

Mid-level Strategic Account Executive specializing in credit, climate, and geospatial risk data

New York, NY5y exp
AMES Game ReserveColumbia University
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ZS

Mid-level analytics professional specializing in pricing and survey analytics

Jersey City, NJ4y exp
Azurite ConsultingCornell University
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SK

Mid-level Software Engineer specializing in distributed systems and data platforms

Seattle, WA7y exp
NordstromNYU
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AM

Junior Software Engineer specializing in SaaS analytics and reporting

San Francisco, CA2y exp
HubSpotNortheastern University
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YA

Yousif Aluzri

Screened

Senior UNIX/Linux Systems Engineer specializing in telecom mobility and automation

Portland, OR29y exp
CiscoUniversity of Colorado Boulder

Commercial UNIX specialist and former tech lead for a UNIX-based telco appliance spanning 11 SPARC Solaris servers, with strong Solaris troubleshooting (truss/iostat/netstat/snoop) and extensive shell scripting automation for safer, more consistent operations. Has executed multiple Solaris major-version migrations (6→8→10→11) and brings broad cross-UNIX platform experience (Solaris/SunOS/HP-UX/IRIX/OSF/1), while actively looking to deepen hands-on AIX/IBM Power expertise.

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PP

Senior Backend Software Engineer specializing in cloud, microservices, and AI systems

Richardson, TX8y exp
The University of Texas at DallasUniversity of Texas at Dallas

Built an AI-powered job outreach application for his own job search and took it from idea to production use, owning architecture, FastAPI backend, retrieval/generation pipeline, frontend workflow, deployment, and iteration. Especially compelling for teams needing a pragmatic full-stack engineer who can turn LLM-based product ideas into usable, maintainable tools with measurable workflow impact.

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Pavan Kishore Ramavath - Intern Software Engineer specializing in machine learning and backend systems in Leesburg, VA

Intern Software Engineer specializing in machine learning and backend systems

Leesburg, VA1y exp
Clinpex LLCNYU

Built an AI-powered medical coding system at Clinpex that mapped 88,000+ clinical terms to standardized codes, achieving about 86% accuracy and cutting manual review time by over 80%. Brings hands-on backend ownership in a healthcare AI setting, with experience using semantic retrieval, LLM validation, and human review to handle ambiguity and reliability in a regulated domain.

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YK

Junior AI/ML Engineer specializing in applied LLMs, security, and reinforcement learning

New York, USA2y exp
New York UniversityNYU

Built and shipped a production LLM-powered investor research feature for a fintech product, focused on grounded answers and minimizing hallucinations. Implemented retrieval-quality and evidence-coverage gating with clear refusal fallbacks, and evaluates systems with regression tests and metrics like correct-refusal rate, hallucination rate, and latency. Comfortable orchestrating workflows with LangChain or custom Python depending on production needs.

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LK

Junior Full-Stack & Data Engineer specializing in cloud platforms and cybersecurity ML

New York, NY2y exp
AccentureNYU

Built a hackathon "Patient Summary Assistant" backend focused on healthcare workflows, combining RAG-based summarization with HIPAA-minded privacy controls (NER redaction + encryption). Demonstrated strong infra skills by deploying on Kubernetes with Helm/HPA and GitOps (ArgoCD), plus migrating from OpenAI to an on-prem Llama 3 stack (vLLM, quantization, shadow-mode testing) and adding real-time Kafka ingestion for patient vitals/anomaly alerts.

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AS

Staff-level Software Engineer specializing in identity, access management, and platform security

Grapevine, TX4y exp
PaycomRice University

Backend engineer focused on scalable, security-first platform architecture—recently built an end-to-end centralized access-control system that launched successfully with ~50k early adopters and was designed to support ~10x traffic growth. Experienced in production authn/authz (token verification, handoff/session migration), and in de-risking migrations via feature flags, phased rollouts, A/B testing, and Splunk-based monitoring.

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YC

Yutao Cao

Screened

Junior Machine Learning Engineer specializing in computer vision and 3D/robotics research

Los Angeles, CA2y exp
University of Southern CaliforniaUSC

Robotics software candidate focused on simulation-to-learning workflows, building a novel-view-synthesis pipeline (USCiLab3D) with a multi-modal diffusion model and a LiDAR-driven, geometry-aware sampling strategy for selecting overlapping reference views across trajectories/seasons. Also designed coordinated motion planning for two Ridgeback-Franka robots in Isaac Lab for a non-prehensile collaborative task, augmenting controller limitations with RL-based self-collision termination states.

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Prajit Mohan - Junior QA Engineer specializing in test automation for web applications in Oakland, CA

Prajit Mohan

Screened

Junior QA Engineer specializing in test automation for web applications

Oakland, CA3y exp
CognizantUC Berkeley

QA automation engineer with healthcare web experience who owned an end-to-end automated test suite (Java/Cucumber/Selenium and Cypress) and integrated it into CI/CD (Jenkins to GitHub Actions, qTest DoD gates). Known for boosting regression coverage to ~93%, stabilizing flaky Cypress tests, and catching production-impacting pipeline/environment redirect issues through workflow updates and cross-browser/regional scenario testing.

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Parth Tusham - Intern Software Engineer specializing in systems, cloud, and security in Sunnyvale, CA

Parth Tusham

Screened

Intern Software Engineer specializing in systems, cloud, and security

Sunnyvale, CA1y exp
NokiaTexas A&M University

Systems and infrastructure engineer pivoting toward robotics software; brings strong low-level debugging, multithreaded systems, and networking experience where correctness and timing matter. Has hands-on experience using Docker and CI/CD to build reproducible test/evaluation environments (thesis), and proposes a disciplined, contract-driven approach to distributed communication and real-time performance debugging.

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SB

Shishir Bandi

Screened

Mid-level Mechanical Engineer specializing in battery validation, robotics, and controls

Dearborn, MI4y exp
FordGeorgia Tech

Robotics software candidate with hands-on experience building a self-balancing, Segway-like robotic ambulator by deriving and iteratively improving the full dynamics model (including bearing losses, BLDC back-EMF, and accurate COM estimation). Has practical ROS/ROS2 exposure (tf2, RViz, rosbag2, slam_toolbox) plus Gazebo/Simulink simulation and Turtlebot vision-based obstacle avoidance using ROS + MATLAB.

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Manaswini Gogineni - Junior Software Engineer specializing in cloud infrastructure and full-stack web development in San Francisco, CA

Junior Software Engineer specializing in cloud infrastructure and full-stack web development

San Francisco, CA2y exp
CiscoUniversity of Wisconsin–Madison

Full-stack/platform engineer who has owned real-time analytics products end-to-end and built scalable TypeScript/React + Node.js systems using event-driven and microservices architectures (Kafka/RabbitMQ). Also created a widely adopted Go CLI that standardized AWS/Terraform provisioning across multiple teams, cutting environment setup from days to minutes through opinionated defaults, documentation, and cross-org partnerships.

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