Vetted REST API Professionals

“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.”

Farhan Shahbaz

Screened

Senior Software Engineer specializing in cloud infrastructure and platform engineering

New York, NY4y exp

“Backend engineer with deep experience in security and access-management platforms at JPMorgan Chase, including owning automation for migrating 50+ engineering teams from CyberArk to HashiCorp Vault. Stands out for combining regulated-environment rigor, infrastructure automation, and production operations with practical AI integration in internal access workflows.”

“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.”

“Product designer with hands-on front-end implementation experience who has owned complex flows end-to-end at Wix and Intuit, including a live keynote demo for Wix’s first developer conference and a tournament-based inner-source readiness program across global AI/data teams. Particularly strong at turning ambiguous briefs into structured experiences, using design systems rigor, interaction design, and implementation fluency to ship polished, understandable products.”

“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

Screened

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.”

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.”

“AI/ML-focused software engineer who has built and orchestrated multi-agent systems with separate retrieval, planning, validation, execution, and escalation components. Stands out for combining hands-on experimentation with a strong reliability mindset, using observability, structured logging, tracing, and evaluation to make agentic workflows production-ready.”

“Frontend architecture leader with experience at Citi and Warner Bros. Discovery, building high-performance browser UIs for demanding enterprise and media workflows. Stands out for combining design-system standardization, deep browser performance optimization, and measurable impact: ~50% frontend improvement and 40% faster feature delivery across a 20+ engineer team.”

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%.”

“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.”

“Upcoming IIT KGP graduate with production-level frontend experience at Tryp.com, where they co-owned a sophisticated browser-based travel booking interface for global users. Stands out for combining React/TypeScript product work with unusually strong browser rendering and performance optimization skills, plus evidence of measurable UX and load-time improvements.”

“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%.”

“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.”

“Biopharma R&D product leader with 6-8 years building enterprise data, analytics, and AI products for drug discovery and biologics research. Notably led a multi-site biosample discovery platform that became an enterprise-wide capability at Bristol Myers Squibb and also drove an AI-powered scientific insight platform using RAG/LLM approaches to reduce time-to-insight for researchers.”

“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.”

“AIX/IBM Power Systems engineer with hands-on production incident leadership in a regulated banking environment, using deep OS-level tooling to diagnose CPU entitlement and memory pressure issues. Experienced with HMC/vHMC, VIOS, and zero-downtime DLPAR resizing, plus PowerHA/HACMP clustering and validated failover testing. Also drives migration readiness via Bash/Python automation (60% manual-effort reduction) and phased AIX cloud/hybrid cutovers.”

“Robotics software engineer with autonomous driving lab experience at UCSD, building and optimizing ROS2 perception and control pipelines (camera-based real-time object detection) with a strong focus on low-latency performance and robust message interfaces. Also brings production deployment experience from Hewlett Packard Enterprise, using Docker and Kubernetes for containerized environments and deployment pipelines.”

“Robotics engineer with a 2024 internship building an end-to-end software stack for an autonomous humanoid robot that follows natural-language audio commands to make coffee and deliver snacks, including perception (OpenCV), mapping, and ROS Navigation. Also contributing to a robotics foundation model effort by building data preprocessing pipelines using GroundingDINO and SAM2, and has multi-robot coordination experience with algorithms designed to handle real-world communication drops.”

“Backend/data engineer with strong AWS production experience across containers (ECS) and serverless (API Gateway/Lambda/SQS), plus Glue-based ETL to Parquet for Athena/Redshift. Demonstrates hands-on reliability and security depth (Cognito OAuth2/JWT with JWKS rotation, idempotency/DLQs, monitoring) and measurable performance wins (Redis caching + query tuning), along with legacy-to-services modernization using parallel-run parity and feature-flagged cutovers.”

“Backend engineer with hands-on experience scaling a Python/Flask incident-logging platform processing thousands of daily logs. Strong in performance tuning (PostgreSQL/SQLAlchemy query optimization, partitioning, summary tables) and reliability patterns (Redis caching, Celery background workers, Docker + Jenkins CI/CD), with some multi-tenant data isolation experience via separate DBs/schemas.”