Vetted SQL Professionals

“ML/LLM systems engineer who has owned AI support automation products end-to-end, including ServiceNow-integrated incident routing, RAG-based resolution suggestion systems, and production stabilization. Stands out for combining hands-on platform work across PySpark, AWS Glue, FastAPI, Kubernetes, and Pinecone with measurable operational impact, including 30-35% MTTR reduction and 25-30% improvement in first-touch resolution.”

Sergio Nunez

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Senior Unity Engineer specializing in XR, mobile, and AI avatar experiences

Los Angeles, CA9y exp

“Unity/C# game engineer from Genies who built the avatar wearable customization system for Silver Studio and supported AI companion features through client-side LLM integrations. Stands out for combining clean architecture, analytics-driven product thinking, and practical optimization work across latency, AI cost controls, and mobile performance.”

“ML/AI engineer with hands-on experience shipping regulated financial AI systems at JPMC and Capgemini, spanning credit risk, fraud detection, and generative AI assistants. Stands out for combining modern LLM/RAG architectures with strong MLOps, real-time infrastructure, and explainability/compliance practices, while delivering measurable business impact in latency, accuracy, cost, and risk reduction.”

Sachin Komati

Screened

Mid-level AI/ML Engineer specializing in GenAI, RAG, and healthcare ML

Florida, USA5y exp

“Built an end-to-end GenAI/RAG platform for financial compliance and research at BlackRock, focused on safe, auditable answers in a highly regulated environment. Combines strong LLM engineering depth with production platform skills and delivered clear business impact, including reducing research/compliance turnaround from hours to seconds, improving retrieval relevance by 22%, and cutting inference costs by 75%.”

“Backend/ML-focused engineer with experience spanning fintech, sales enablement, and medtech, including a Capital One capstone and a Singapore medtech startup internship. Stands out for owning end-to-end AI/backend systems, from a GenAI sales pitch platform that cut prep time by 50% to an ultrasound-guidance MVP for non-expert operators in a highly ambiguous domain.”

“Engineer with hands-on experience across frontend, backend, and data systems, including React/TypeScript UI work at CitiGroup, ETL pipeline ownership at Accenture, and personal 0→1 builds like an AI chatbot and a real-time multiplayer typing platform. Stands out for combining product-minded prioritization with strong implementation depth in performance optimization, type-safe frontend architecture, and resilient data pipeline design.”

“AI/ML-focused engineer with practical experience building RAG-based and multi-agent systems, including architectures for retrieval, reasoning, context processing, and response generation. Stands out for combining LLM productivity gains with disciplined software engineering practices like validation, monitoring, and reproducibility.”

Malyadri Peruru

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Senior Software Engineer specializing in backend, cloud, and IoT automation

Greater San Francisco, CA13y exp

“Software engineer with strong systems design experience spanning both core product infrastructure and AI-enabled support workflows. Co-led a from-scratch B2B SaaS billing platform for complex customer pricing models, and also improved an orchestrated agent system by tightening context, metadata, and human-review safeguards for misrouted support tickets.”

“Engineering leader with experience owning product engineering strategy, architecture, and org scaling across hospitality/workforce management and insurance startup environments. They describe being brought in to help Fourth Inc. revamp engineering for large-scale enterprise customers, while also scaling teams at The Zebra and staying hands-on with production monitoring, performance analysis, and cross-team architectural execution.”

“Built the outbound GTM motion from zero at an early-stage startup with no inbound pipeline, SDR team, or existing playbook. They created a 5,000+ lead engine across 15 industries, ran segmented multi-channel campaigns, and turned it into a documented, repeatable system that produced 40+ qualified leads, 12 client acquisitions, and above-benchmark response metrics.”

Adithi Anugu

Screened

Mid-level Full-Stack Software Engineer specializing in API and data-driven applications

Florida, USA4y exp

“Full-stack engineer with internship experience at Sports Excitement and AI systems work at the University of Florida, combining React/TypeScript, Node.js, and PostgreSQL with applied AI workflow tooling. Stands out for shipping measurable product improvements—30% faster pagination and 40% higher engagement—and for building observability, eval, and human-review layers around AI-assisted data extraction systems.”

“Frontend-focused product engineer from TrialTrace who owned features end-to-end across product decisions, architecture, implementation, and testing. Strong in TypeScript/React applications with complex data visualization and dashboarding, including refactoring core coordinate logic, building filter-state architecture, and shipping fast user-driven features.”

Edward Diehl

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Senior Technical Project Manager specializing in data, systems, and FinTech delivery

Morristown, NJ12y exp

“Enterprise implementation and modernization leader with 10+ years across JP Morgan, StoneX, and Majesco, delivering complex B2B/SaaS programs in highly regulated insurance and financial services environments. Has progressed from project coordination into full program ownership, managing $5M+ initiatives and portfolios of 4-6 concurrent enterprise implementations with executive-facing governance.”

Deepthi Pamisetty

Screened

Mid-level Full-Stack Engineer specializing in FinTech and cloud-native systems

Dallas, TX6y exp

“Full-stack engineer with production experience building AI-powered search and automation systems at JPMorgan Chase and customer-facing product features at Wayfair. Stands out for combining React frontend work with backend microservices, RAG/LangChain AI integration, and cloud-scale performance tuning, including a support chatbot that reduced ticket resolution time by 35%.”

“IBM full-stack engineer focused on document automation for internal and government use cases, building Java Spring Boot services and React/TypeScript UIs that automate XML-to-multilingual PDF workflows. Stands out for turning complex backend automation into usable tools for non-technical operations teams while improving processing speed and reducing manual effort.”

“Product leader at VicRoads who rebuilt the Custom Plates digital portfolio, including an AI-powered pricing and recommendation platform that drove more than 20% revenue uplift. Stands out for combining commercial product thinking with explainable AI, regulatory compliance, and legacy-system modernization in a government-related environment.”

“Engineering director and former front-end engineering manager with a strong blend of people leadership, UX/design-system ownership, and hands-on technical depth. At Siemens, they led a 15-person US/Europe team through a SaaS-era design-system transformation, winning over resistant product teams and exceeding adoption goals; at Intellimize, they solved legacy-browser constraints with a custom TypeScript-based build pipeline that improved quality, morale, and user experience.”

Anshika Bajpai

Screened

Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps

Bloomington, IN4y exp

“Engineer with impactful experience at Palo Alto Networks and Optum, focused on production automation and AI-powered internal tools. Built and owned an end-to-end RAG knowledge system adopted by 1000+ internal users with roughly 75% faster response times, and also transformed a legacy Optum coverage-feed workflow from 500+ minutes to under 3 minutes through data standardization and microservices refactoring.”

“Forward-deployed, full-stack/platform engineer who owns production features end-to-end across frontend, backend, data, and infrastructure (AWS serverless, Terraform, React). Has modernized critical fintech/payment systems (zero-downtime monolith-to-microservices with Kafka event sourcing) and productionized AI-native support workflows (LLM + RAG on Pinecone) with measurable gains in latency, incidents, CSAT, and support efficiency.”

Gaurav Sherwani

Screened

Mid-level product and data engineer specializing in FinTech and AI

Washington, DC5y exp

“Data engineer and technical product manager with a strong pre-sales-style background in highly regulated financial environments, translating complex data infrastructure work into business cases, compliance signoffs, and leadership buy-in. At UBS, they drove a cloud migration with $2M savings and built regulatory automation that beat benchmarks, while at Omnic.ai they worked directly with users on a GPT-4 feature that doubled MAU and lifted subscriptions 20%.”

Lyndsey Reed

Screened

Mid-level Product Manager specializing in AI, FinTech, and EdTech

Remote9y exp

“Product and technology leader with a nontraditional path from hands-on software development into director-level leadership across fintech and edtech. They have built products since 2016, led 0-to-1 fintech product work, managed a 14-person team, and combine AI/ML exposure with operational experience in department design, training systems, and stakeholder-driven roadmap execution.”

“Full-stack engineer with hands-on ownership of both a marketplace discovery product and a zero-to-one AI document intelligence assistant. Brings a strong blend of React/Node/MongoDB product engineering and production RAG/LLM system design, with clear experience turning technically complex AI capabilities into usable experiences for non-technical users.”

“Full-stack engineer whose strongest hands-on work is a self-built real-time collaborative code editor spanning React, Node.js, Express, and WebSockets. They stand out for owning both product UX and backend synchronization challenges, with a clear bias toward simplicity, low-latency collaboration, and modular architecture in early-stage product building.”