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Vetted Data Structures and Algorithms Professionals
Pre-screened and vetted.
Mid-level Robotics & Distributed Systems Software Engineer
Senior Machine Learning Engineer specializing in LLMs, RAG, and multimodal AI
Mid-level Software Engineer specializing in distributed systems and AI agents
Intern Software Engineer specializing in AI/ML and cloud data pipelines
Junior Data Scientist specializing in NLP, OCR, and recommendation systems
Mid-level AI/ML Engineer specializing in LLMs, RAG, and GenAI pipelines
Mid-level Full-Stack Developer specializing in Java/Spring Boot and React
Mid-Level Full-Stack Software Engineer specializing in cloud-native backend systems
Mid-level AI/Data Engineer specializing in LLMs, RAG pipelines, and cloud data platforms
Mid-level Machine Learning Engineer specializing in MLOps and LLM/RAG systems
Mid-Level Full-Stack Software Engineer specializing in cloud, web apps, and GenAI
Nakul Reddy Sarasani
Junior Full-Stack Software Engineer specializing in cloud-native distributed systems
“Software engineer with JPMorgan Chase experience building a real-time operations console backend on Spring Boot/Kafka/Kubernetes and resolving peak-load latency through profiling, indexing, caching, and async processing. Also built and owned an AI-driven digital-archives metadata pipeline during a master’s at UNT using OCR + LLaMA-based prompting with validation, near-human accuracy, and human-in-the-loop guardrails.”
Tarang Nair
Mid-Level Full-Stack Software Engineer specializing in cloud-native APIs and AI apps
“Early-stage startup full-stack engineer who built an inventory and billing management product for retail shop owners in India, iterating quickly based on customer feedback. Has hands-on experience designing scalable cloud infrastructure on GCP with Kubernetes and applying clean architecture for testable, modular systems; also built internal monitoring dashboards for error and performance visibility.”
Ajay Pandit
Senior Front-End & Mobile Engineer specializing in React, Angular, and FinTech
“Frontend engineer who led an enterprise customer-facing analytics dashboard end-to-end, handling complex visualizations, real-time updates, and high-performance requirements. Demonstrates strong architecture and scale practices across React/TypeScript, Redux Toolkit/RTK Query, GraphQL, and performance techniques like virtualization and code-splitting, plus disciplined QA/rollout with feature flags, Cypress, Sentry/New Relic, and Lighthouse.”