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Vetted Graduate Assistants
Pre-screened and vetted.
Senior Performance Marketing & Marketing Operations Manager specializing in automation and analytics
Anupreet Singh
Intern Full-Stack Software Engineer specializing in AI and backend systems
“AI intern who built core pieces of Cyberdome, a full-stack agentic compliance automation product using Next.js, Python, RAG, Qdrant, and NIST control retrieval. Stands out for combining frontend product work with backend LLM infrastructure, on-prem/local model deployment, and practical iteration based on user trust concerns around proprietary data.”
Isha Harne
Intern Software Engineer specializing in ML applications and LLM platform engineering
“Full-stack engineer who builds and scales customer-facing and internal AI products end-to-end (React/TypeScript/FastAPI/MongoDB) with strong product instrumentation and rapid MVP iteration. Built an AI-powered code review assistant adopted across teams and integrated into CI/CD, reducing manual review time by 30%+, and has hands-on experience with LLM retrieval/reasoning systems (LangChain + FAISS) and microservices scaling using RabbitMQ, Docker, and AWS.”
Navya Kesani
Mid-Level Full-Stack Software Developer specializing in Java, Spring Boot, and cloud-native web apps
“Former Wipro engineer who contributed to an open-source JavaScript utility library focused on frontend validation/formatting, including adding a cross-browser date-formatting module. Experienced in OSS maintenance (bug fixes, PR reviews, docs), performance profiling/benchmarking (Chrome DevTools, Node.js performance hooks), and improving community support workflows with issue templates and diagnostic logging.”
Electra Chronis
Director-level Growth & Performance Marketing Manager specializing in paid media and CRO
“Performance marketer who owned $50K+/month spend across Google, Meta, and Microsoft for Wild Earth Dog Food, turning Google into the top revenue channel and citing 10x month-over-month revenue growth. Strong focus on continuous A/B testing (VWO) across creatives, copy, landing pages, audiences, and bid strategies, plus hands-on troubleshooting of tracking/pixel issues and clear client-facing reporting.”
vivek y
Junior Software Engineer specializing in full-stack development and machine learning
“Built a production Apple-focused LLM Q&A bot that answers user issues using similar past discussion records, including large-scale scraping and cleaning of thousands of forum threads. Used BeautifulSoup + Playwright for static/dynamic extraction, PySpark + NLP for preprocessing, and LangChain RAG with a custom response-likeliness metric to evaluate performance.”
Vinay Sawade
Mid-level Full-Stack Software Engineer specializing in cloud, data pipelines, and GenAI
“Full-stack engineer currently building an employee management system end-to-end with React, Node/Express, and PostgreSQL, including JWT auth and RBAC. Previously worked at TCS on large-scale State Bank of India web applications, applying Redis caching, server-side pagination/filtering, and async job offloading to improve performance and reliability.”
Junior Backend Software Engineer specializing in Java/Spring Boot and IoT data platforms
Junior Game Designer & Gameplay Programmer specializing in Unreal Engine and Unity
Mid-level Software Engineer specializing in backend microservices and distributed systems
Mid-level Software Engineer specializing in ML, Generative AI, and cloud systems
Mid-level Full-Stack Software Engineer specializing in Java/Spring microservices and cloud
Mid-level Robotics Software Engineer specializing in autonomy, motion planning, and embedded AI
Junior Full-Stack Software Engineer specializing in scalable APIs and cloud systems
Mid-level Business Analyst specializing in BI, analytics, and process optimization
Mid-level Full-Stack Engineer specializing in FinTech and cloud-native applications
Mid-level Software Engineer specializing in backend systems and AI platforms
Mid-level AI & Data Engineer specializing in RAG and analytics platforms
Mid-Level Full-Stack Software Engineer specializing in scalable systems and GenAI
Mid-Level Software Engineer specializing in cloud-native full-stack and DevOps
Mid-level Full-Stack Software Engineer specializing in AI-enabled backend and mobile systems
Venkatasai Vorsu
Mid-level Full-Stack Software Engineer specializing in Java microservices and cloud platforms
“Full-stack engineer with strong React/TypeScript and Spring Boot experience in banking and financial systems, focused on real-time transaction monitoring and payment tracking products. Stands out for scaling high-volume dashboards, solving rendering bottlenecks in live data UIs, and owning features end-to-end from frontend through APIs, Oracle data layer, cloud deployment, and production monitoring.”