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Vetted Caching Professionals
Pre-screened and vetted.
Muhammad_Umar Aibak
Senior Full-Stack Engineer specializing in scalable SaaS and cloud platforms
“Full-stack SaaS engineer with strong experience building multi-tenant analytics platforms in lean startup environments. He combines React/Node.js and Python/Django backend depth with hands-on DevOps improvements, including CI/CD and Docker adoption that cut deployment effort by nearly 50% while improving platform performance by around 30%.”
“Full-stack engineer with experience spanning enterprise document platforms and AI-powered clinical education products. Built secure TypeScript/Next.js features end to end, designed multi-model LLM workflows with validation and monitoring in production, and modernized a legacy PHP monolith through blue-green deployment and incremental migration without outages.”
Oladayo Ogundipe
Mid-level Full-Stack Software Engineer specializing in cybersecurity and AI-enabled web apps
“Frontend engineer with experience building user-facing React/TypeScript features in startup and security contexts, including live-stream clipping for collegiate sports video and organization-relationship graph visualizations. Has hands-on experience with Redux state management, CSS/UI debugging, and adapting visualization libraries like Sigma to product needs.”
Connor Koch
Junior Software Developer specializing in full-stack and cloud applications
“Oracle Software Developer (2+ years) at C3 Business Solutions, a consulting firm building and maintaining ERP applications across Oracle APEX/FDI/Fusion/EBS/OCI. No formal game QA experience yet, but demonstrates practical QA-adjacent skills (test planning, debugging via logs, and detailed bug reporting) and is explicitly looking to transition into a QA Engineer role.”
Aman Kumar Mushnam
Intern Full-Stack/Backend Engineer specializing in cloud-native APIs and event-driven systems
“Backend-focused engineer who built an academic AI voice assistant with a Python microservice-style backend (speech recognition, spaCy-based NLP, and Kafka-driven automation) optimized to sub-500ms latency. Also has Sodexo internship experience deploying containerized services across Kubernetes/AWS ECS/Azure using ArgoCD GitOps, including solving config drift and secret-management challenges and supporting cloud-to-on-prem migrations with blue-green rollouts.”
Ajay Yamagani
Mid-level Java Full-Stack Developer specializing in cloud-native microservices
“Full-stack engineer from Clairvoyant who led end-to-end delivery of a cloud-native, event-driven platform: Spring Boot microservices + Kafka real-time streams with an Angular UI, migrated and containerized on AWS, and automated CI/CD with Jenkins/Maven/Git. Demonstrates depth in distributed consistency challenges (partitioning, consumer lag/duplicates) and database performance tuning across SQL/NoSQL under heavy workloads.”
Jason Chen
Mid-Level Backend Software Engineer specializing in distributed financial systems
“Full-stack engineer with fintech payments experience who shipped an end-to-end guest invoice payment flow emphasizing reliability under retries/failures (idempotency via DynamoDB, async processing with Lambda/EventBridge/SQS + DLQ). Also built a FastAPI backend with Cognito/JWT + scoped guest tokens and a polished React/TypeScript checkout UX, and has performance-focused Postgres/Redis design experience for flash-sale e-commerce workloads.”
luis gonzalez
Junior Backend/Platform Engineer specializing in cloud-native APIs and data systems
“Startup-style full-stack/backend engineer with hands-on AWS architecture experience who shipped an LLM-driven assessment-question automation feature (Python microservice calling AWS Bedrock via SQS, deployed on Lambda) with strong validation/guardrails and retry strategies. Also improved production scalability by moving a CPU/IO-heavy file upload path out of a Go API into a queue/Lambda design monitored with CloudWatch, and has React+TypeScript experience optimizing analytics dashboards.”
Sriram Krishna
Mid-Level Software Engineer specializing in AI/ML and cloud-native platforms
“Backend/AI engineer who has built production LLM orchestration and agentic workflow systems in Python/FastAPI on Kubernetes across AWS/Azure. Demonstrated strong reliability engineering by debugging a real-world memory retention issue that caused latency spikes/timeouts, and strong data/performance chops with a PostgreSQL optimization that cut query latency from ~1.2s to ~15ms. Targets roles building scalable, guardrailed AI-driven workflow automation with robust observability and human-in-the-loop controls.”
Manas Agarwal
Junior Full-Stack Software Engineer specializing in Python APIs, React, and cloud AI integrations
“Customer-facing software engineer who builds and deploys practical AI/RAG solutions (e.g., an AI assistant for searching billing PDFs) by deeply understanding support workflows and iterating with users. Demonstrates strong production instincts—quickly stabilizing peak-traffic API timeouts with caching/background jobs, then implementing durable fixes with proper monitoring and maintainable code practices.”
Benjamin Agyekum
Senior Full-Stack Software Engineer specializing in AI-powered web and mobile applications
“Backend/full-stack TypeScript engineer who has owned end-to-end, production-oriented systems including an AI property management platform (NestJS/Postgres/WebSockets on Google Cloud using Gemini Vision) and an AI logistics platform (Node/Redis queues/Postgres) focused on low-latency, correctness, and observability. Also designed a public GraphQL API and TypeScript SDK for education partners at StudyFetch, citing 40+ partner integrations in the first quarter.”
Annie Suzan Edwin Arokiaraj Caroline
Junior Full-Stack Software Engineer specializing in distributed systems and data pipelines
“Backend engineer with hands-on experience building distributed data and API platforms (Kafka + Neo4j on Kubernetes), including processing 3M+ NYC taxi trip records and achieving sub-second graph analytics queries. Strong focus on reliability and performance in Python/FastAPI systems—async refactors, caching, timeouts/retries, feature-flagged rollouts, and JWT/RBAC security for production services.”
Samee Rauf
Junior AI/Full-Stack Software Engineer specializing in ad automation and LLM systems
“Full-stack engineer with deep ad-tech/marketing automation experience, building production tools that reduce programmatic ad waste and improve search ads performance. Shipped and operated AWS-deployed, Dockerized systems with Postgres/Redis and strong observability (Datadog/OpenTelemetry), and delivered measurable impact (25k campaigns processed, 50k sites negated, 3–4 hours/week saved). Built scalable abstractions for multi-platform ad integrations, enabling rapid onboarding of additional clients.”
Fasres Bakr
Mid-level Game Developer specializing in multiplayer and backend systems
“Lead developer on PoolLiveTourMax who owned core gameplay, physics, backend services, and end-to-end multiplayer architecture. Brings a strong blend of Unity gameplay engineering and backend/networking expertise, including server-authoritative netcode, dedicated server deployment, and performance optimization for memory, FPS, and latency.”
Abhiram Mullapudi
Mid-level ML Engineer specializing in real-time inference and anomaly detection
“Built DocMind, an end-to-end PDF chat assistant using React/TypeScript, FastAPI, and Postgres/pgvector, showing full-stack ownership plus practical performance tuning and AWS debugging skills. At Social Tech Labs, improved onboarding, shipped lean under ambiguity, and created a reusable low-latency feature serving layer that reduced duplicated infrastructure work across models.”
Fransiscus Prayoga
Senior Unity Developer specializing in AR/VR, MX, and game technology
“Game programmer focused on Unity/C# systems, multiplayer, and VR, with a strong emphasis on performance-conscious architecture and practical shipping constraints. Particularly interesting for teams needing someone who can bridge gameplay engineering, backend-integrated tooling, Photon multiplayer, and hardware-connected immersive experiences.”
Ryan Boines
Senior AI/ML Engineer specializing in LLMs, AI agents, and cloud-native backend systems
“Built and owned a production-grade RAG/LLM support automation system on AWS using GPT-4, Pinecone, FastAPI, and Redis, taking it from initial experimentation through deployment, monitoring, and iterative improvement. Their work reduced support workload and ticket volume by about 40%, improved CSAT and self-service resolution, and they also created shared Python/LLM infrastructure that accelerated other teams' delivery from weeks to days.”
Meghkumar Patel
Intern-level Software Engineer specializing in backend, cloud, and AI systems
“MS Software Engineering candidate at SJSU with hands-on full-stack and applied AI experience, including building DataTrust, a secure enterprise RAG assistant with ABAC-style access control, audit logging, and grounded-answer evaluation. Also built CareerPilot, an AI interview-prep product that turns LLM and speech-to-text outputs into structured, user-friendly feedback for students and job seekers.”
Ashutosh Talwalkar
Mid-level Software Engineer specializing in frontend and full-stack SaaS platforms
“Frontend-focused product engineer who owned the Quickwork automation platform’s architecture from 0 to 1, including a major migration from a monolithic frontend to microfrontends with Module Federation. Particularly strong in complex operational UX: real-time execution monitoring, analytics dashboards, API contract design, and performance-sensitive React/TypeScript systems for B2B SaaS workflows.”
Shivani Chowdhary
Senior Frontend Architect specializing in FinTech and modern web applications
“Founding frontend developer for StockEdge, a cross-platform stock market analytics SaaS, where they owned UI, branding, frontend architecture, and deployment across web, Android, and iOS. Most compellingly, they helped take the product from 0 to 1 million unique users and 10,000 paid subscribers while building data-heavy, near-real-time financial experiences in React and TypeScript.”
Furqan Munir
Mid-level Full-Stack MERN Engineer specializing in AI-integrated web platforms
“Early-stage startup engineer who operated with little structure, worked directly with clients, and helped turn Deloitte and Informatica into permanent clients. More recently, they built an AI-enabled HVAC project bidding and estimation platform using FastAPI, LangChain, React, TypeScript, and PostgreSQL, including prompt tuning and UAT-driven improvements.”
Mohamed ElMongy
Senior Unity Developer and Technical Artist specializing in real-time 3D and game optimization
“Senior Unity-focused gameplay engineer with hands-on experience spanning gameplay architecture, multiplayer networking, mobile optimization, editor tooling, and AI-assisted content workflows. Particularly notable for building shared systems that work across both player and AI use cases, and for pairing technical rigor with practical cross-team collaboration.”
SAUD SALEEM
Senior Python Engineer specializing in scalable backend and distributed systems
“Senior Software Engineer who has operated in a functional implementation capacity on B2B SaaS projects, especially identity verification and infrastructure intelligence platforms. Stands out for translating stakeholder and compliance requirements into APIs, workflow logic, data mappings, and UAT processes, with experience supporting utility-focused asset risk and maintenance decision platforms at scale.”