Hire AI Workflow Specialists
Deepak Arora
Deepak is an AI systems architect and forward deployed engineer with 20+ years of experience. At SwifTrade, he translates business challenges into production AI solutions, building LangGraph multi-agent, RAG, and automation systems that scaled fulfillment 6.6x. At Verizon, he built GPU-based Whisper ASR and LLM pipelines across 4M+ devices. He specializes in agentic AI, RAG, LLMs, CUDA inference, and AI architecture.
Show MoreZainab Zaheer
Zainab is a senior AI and data systems engineer with 9+ years of experience designing production AI platforms. Her expertise spans ML and deep learning, retrieval and evaluation, agentic AI, RAG, and scalable data systems. Zainab combines strong AI foundations with systems engineering to architect reliable, production-grade solutions to complex business problems.
Show MoreGiorgio Leveroni
Giorgio is a full-stack engineer specializing in AI infrastructure. He builds sophisticated evaluation systems where models autonomously solve complex enterprise tasks, from extracting private equity deals using computer capabilities that interact with real-world applications to analyzing newspapers via vision LLMs. He also develops appraisal platforms by leveraging AI for comprehensive PDF processing and property risk scoring. Giorgio will be a great addition to any team.
Show MorePrasanth Ravulapalli
Prasanth is an active competitive programmer with excellent ratings and rankings on multiple competitive programming platforms, which made him obsessed with efficiency and optimization. He loves excelling at new things and tackling challenges. While working on different tech stacks, Prasanth has keenly observed their performance, which has given him good knowledge and understanding of how to develop an efficient infrastructure for any project.
Show MoreAbhijeet Kumar
Abhijeet is a senior software engineer with 13+ years of experience at Amazon, Zalando, and Rakuten. At Amazon, he architected and led an agentic AI analysis platform for large financial datasets, cutting report review time by 75%, and built a micro-frontend framework adopted by 50+ engineering projects. Abhijeet's expertise spans Java, Node.js, and Python back ends, React/TypeScript front ends, and LLM agents and RAG pipelines on AWS for fintech and compliance.
Show MorePau Gallardo Cordon
Across air transport, AI, and blockchain, Pau has spent eight years building full-stack and AI systems. His toolkit centers on TypeScript, Python, and PostgreSQL. While at SITA, he took full technical ownership of Mission Watch Multi-platform, carrying it from an empty repository to production and cutting CPU consumption by 30%.
Show MoreNikolay Konovalov
With experience in software engineering, Nik builds and modernizes SaaS, fintech, edtech, eCommerce, and security-critical products. At Codility, he owned the identity and access domain behind 200+ endpoints and addressed 20+ audit findings. He works end-to-end, from architecture and back-end systems to polished React/Vue interfaces and AWS infrastructure, using Ruby, TypeScript, PostgreSQL, Docker, and Terraform.
Show MoreNarine Aghalaryan
Narine is a senior software engineer with 9 years of experience in Java development and modern AI integration for clients such as Async and Fortra. Her primary expertise is in Java, Spring Boot, event-driven architecture, and LLM-powered solutions, where she thrives in cloud-native environments. Narine builds scalable distributed systems and intelligent workflows that enhance product capabilities and improve operational efficiency.
Show MoreBeka Bendeliani
Beka builds production AI agents and generative interfaces end to end, backed by 12 years of full-stack engineering. His core stack is TypeScript, Node.js, NestJS, React, AI tooling, with cloud work on GCP. Most recently he built an agent that turns plain language into dashboards, answers questions about live data in chat, and carries out actions on top of it. He works closely with designers, data engineers and product managers, has led small teams, and ships what he takes on.
Show MoreIngyu Koh
Ingyu is a quantitative researcher and systems builder with 30+ years of experience in computational and statistical research, including a decade in low-latency trading and scientific AI. He analyzes problems before proposing solutions and is clear about what evidence can support. His expertise spans market microstructure, GPU backtesting, and deep learning for scientific and medical imaging.
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