Vetted Caching Professionals

Pre-screened and vetted.

HG

Mid-level Software Engineer specializing in AI and FinTech platforms

Seattle, WA5y exp
DreamStudioUniversity of Washington

LLM/agentic systems practitioner who specializes in moving demo-only assistants into reliable, observable, cost-controlled production services. Strong in real-time diagnosis of complex agent workflows (including tracing, loop detection, and guardrails) and in customer-facing enablement—running workshops, building tailored PoCs, and partnering with sales to close deals by proving reliability in high-risk pilots.

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VT

Mid-level AI/ML Engineer specializing in Generative AI and agentic systems

4y exp
WalmartUniversity of Central Missouri

Backend/platform engineer who has owned a Python/FastAPI results API and deployed it on Kubernetes with Helm and GitHub Actions-driven CI/CD. Demonstrates strong production operations mindset across performance tuning, monitoring, safe rollouts/rollbacks, and phased migrations, plus hands-on Kafka streaming experience focused on ordering and idempotency.

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Anudeep Eloori - Mid-level Software Developer specializing in full-stack enterprise applications in USA

Mid-level Software Developer specializing in full-stack enterprise applications

USA3y exp
EpsilonUniversity of South Florida

Software engineer with experience building and iterating high-volume Spring Boot microservices on AWS (Docker/Kubernetes) and integrating with React front-ends. Also delivered an LLM-powered document summarization system using embeddings + retrieval (RAG) with grounding/guardrails and built evaluation loops that directly drove retrieval and chunking improvements. Has scaled Kafka-based pipelines processing millions of messy financial/infrastructure records with reliability and cost/latency tradeoff management.

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AV

Junior Software Engineer specializing in backend microservices and cloud platforms

USA2y exp
IBMCalifornia State University, Long Beach

Backend-oriented software engineer who uses AI as a disciplined engineering accelerator rather than a replacement for judgment. They have hands-on experience coordinating multiple AI tools/agents across code generation, testing, debugging, and review, with strong emphasis on security, scalability, and human validation before production use.

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Aditya Rao - Mid-level Software Engineer specializing in backend, AI, and distributed systems in San Jose, CA

Aditya Rao

Screened

Mid-level Software Engineer specializing in backend, AI, and distributed systems

San Jose, CA5y exp
Snap-onSan Jose State University

Software engineer with 4.5 years of startup experience across programmatic advertising, health tech e-commerce, and automobile diagnostics, plus both bachelor's and master's degrees in CSE. Built an agentic global supply chain platform in a hackathon using a highly structured AI-first workflow, and has hands-on experience designing multi-agent debate systems, rollout safeguards, and observability-driven production fixes.

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Namratha Medaboina - Mid-level Software Engineer specializing in backend systems for healthcare and FinTech

Mid-level Software Engineer specializing in backend systems for healthcare and FinTech

3y exp
CVS HealthUniversity at Buffalo

Built Python-based clinical data processing workflows at CVS Health, automating ingestion, validation, transformation, and ML prediction across multiple healthcare systems. Stands out for combining AI-assisted development with rigorous human review, validation checkpoints, and production monitoring in regulated healthcare environments, including a reported ~26% efficiency improvement.

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SK

Shirisha K

Screened

Mid Software Engineer specializing in backend microservices and FinTech systems

Illinois, USA4y exp
ServiceNowUniversity of Central Missouri

Full-stack engineer with experience shipping analytics dashboards and an AI-driven support assistant for a cloud analytics platform. They combine Java/Spring Boot backend work with TypeScript frontend development and showed practical knowledge of LLM production concerns like retrieval grounding, latency, caching, retries, and graceful fallbacks. Their shipped dashboard feature improved load times by 35-40% and reduced support issues tied to delayed analytics.

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Aman Kushwaha - Senior Frontend Engineer specializing in React, Next.js, and FinTech UI architecture in Bangalore, India

Aman Kushwaha

Screened

Senior Frontend Engineer specializing in React, Next.js, and FinTech UI architecture

Bangalore, India4y exp
High5IIT Ropar

Frontend/product engineer with strong ownership across architecture, deployment, and cross-functional product decisions, especially in finance workflow systems. Built a metadata-driven React/TypeScript framework at Hyperbots that cut feature development effort by ~70% and manual effort by 50%+, and has also driven backend API cleanup, real-time experiences, and a full GA4 tracking architecture redesign.

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KS

Entry Data Scientist specializing in ML, NLP, and GenAI

Hyderabad, India1y exp
KofluenceRowan University

AI/full-stack engineer who has built a production-style LLM knowledge assistant from scratch, combining FastAPI, LangChain, FAISS, semantic retrieval, and a user-facing chat interface. Stands out for owning both the technical architecture and the product usability layer, including latency optimization, prompt refinement, and source-backed responses to improve trust for non-technical users.

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AG

Aditee Gaddam

Screened

Mid-level Full-Stack Software Engineer specializing in cloud and AI systems

United States3y exp
SyscoGeorge Mason University

Built internal product features at Sysco's Collab Cafe across React/TypeScript frontend and Spring Boot/PostgreSQL backend, including a full project invite flow and an early AI-style project matching capability. Stands out for owning features end-to-end, improving React dashboard performance with profiling and component refactoring, and making pragmatic 0→1 tradeoffs to ship quickly.

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Vinay K Naidu - Senior Full-Stack Engineer specializing in Healthcare IT and FinTech

Vinay K Naidu

Screened

Senior Full-Stack Engineer specializing in Healthcare IT and FinTech

5y exp
Aurora Health CareUniversity of Dayton

Built and shipped a production LLM-powered incident assistant integrated with monitoring, logs, and metrics systems that reduced triage time by 30–40% and improved MTTR. Stands out for a strong reliability-first approach to agent design, including deterministic orchestration, strict schemas, fallback flows, grounding checks, and safeguards for messy operational data.

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ET

Evan Teague

Screened

Senior Software Engineer specializing in backend and data platforms

Bethesda, MD10y exp
Spatial Data LogicUniversity of Virginia

Series A startup engineer with broad full-stack ownership across backend, data, and frontend, including a real-time ingestion platform that scaled to 10x higher daily volume without downtime while cutting latency from minutes to seconds. Brings strong fintech and B2B SaaS experience building auditable, high-throughput systems for analysts, operations, and compliance teams in regulated environments.

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BD

Brooks DuBois

Screened

Senior Full-Stack Engineer specializing in web platforms across FinTech and automotive

Bridgeport, CT8y exp
FreelanceKeene State College

Frontend engineer with production experience at UWM and Ford.com, focused on complex UI architecture, dynamic form systems, and high-performance interactive experiences. Stands out for rebuilding problematic React/Redux patterns into reactive RxJS-driven architectures, with measurable wins like reducing an 8-second, 5,000-request widget to a fast, stable experience, and for also building advanced personal projects in Solid.js, mapping, and WebGL.

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Priyadarshini Vykuntapu - Mid-level Software Developer specializing in full-stack systems for FinTech and industrial platforms in USA

Mid-level Software Developer specializing in full-stack systems for FinTech and industrial platforms

USA3y exp
HoneywellUniversity at Buffalo

Enterprise full-stack engineer with experience at Honeywell and Wells Fargo, spanning real-time telemetry dashboards and digital banking systems. Stands out for owning production systems end to end, improving performance in high-scale environments, and driving architectural modernization that reduced release times and improved reliability.

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JV

Mid-Level Java Backend Engineer specializing in payments and cloud microservices

New Jersey, United States4y exp
Wells FargoUniversity of Central Missouri

Backend-focused engineer at Wells Fargo owning production payments features end-to-end, including Spring Boot REST services, CI/CD + containerized AWS deployments, and CloudWatch-based observability. Has hands-on experience stabilizing high-traffic transaction workflows and building reliable ingestion/integration flows using idempotency, retries/backoff, and reconciliation.

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SR

Sahithi Reddy

Screened

Mid-level Machine Learning Engineer specializing in LLM-powered products

Dallas, TX4y exp
VerizonUniversity of Massachusetts Dartmouth

Verizon engineer who productionized an LLM-based personalization capability for a customer-facing digital platform, owning the path from success metrics through scalable APIs, A/B validation, and post-launch monitoring (latency/accuracy/drift). Experienced in diagnosing and fixing real-time LLM/RAG workflow issues under peak load, and in enabling adoption via tailored technical demos/workshops and sales support materials.

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PN

Mid-level Backend Software Engineer specializing in Java microservices and cloud-native systems

United States5y exp
MastercardUniversity of Central Missouri

Backend/data engineer with hands-on production experience across Python REST APIs and PostgreSQL, plus AWS containerized deployments using CloudFormation, Jenkins CI/CD, and CloudWatch monitoring/autoscaling. Has built data validation/ETL-style workflows with schema/version checks and targeted reprocessing, modernized legacy batch processing into Java services with phased parallel migrations, and delivered measurable SQL performance gains (~50% query runtime reduction).

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GI

Junior Backend-Leaning Full-Stack Engineer specializing in FinTech

Charlotte, NC1y exp
UNC Charlotte - Distributed Systems LabUniversity of North Carolina at Charlotte

Backend engineer with experience at Razorpay and Groww, focused on hardening high-throughput financial systems for reliability and low tail latency through incremental improvements (SQL/index tuning, Redis caching, timeouts, idempotency). Also built/refactored a commodity risk tracker using Supabase Auth + Postgres RLS for strict per-user isolation, with a strong emphasis on API contracts, observability, and safe migrations.

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SK

Mid-Level Software Engineer specializing in FinTech microservices and AI automation

New York City, United States3y exp
Bank of AmericaNJIT

Backend engineer with experience evolving a real-time transaction and rewards processing platform from a tightly coupled architecture into domain-based microservices. Uses REST plus Kafka for synchronous vs. asynchronous workflows, and builds Python/FastAPI APIs with Pydantic contracts, Docker/Kubernetes deployments, and JWT/OAuth-based security; has also supported analytics/dashboard use cases (Power BI).

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PV

Mid-level Full-Stack Java Developer specializing in cloud-native microservices

Texas, USA5y exp
Capital OneAuburn University at Montgomery

Full-stack engineer focused on enterprise, cloud-native microservices—building Spring Boot backends and React/Angular front ends with strong security (OAuth/JWT), AWS infrastructure (RDS/S3), and containerized deployments (Docker/Kubernetes). Has delivered data-heavy order/account/transaction platforms and healthcare solutions including EHR integrations for secure patient data exchange, with emphasis on testing, performance tuning, and reliability (load testing).

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AV

Mid-level Full-Stack Developer specializing in FinTech web applications

Remote, USA4y exp
JefferiesRowan University

Backend engineer who built an e-commerce order processing service in Python/Flask with PostgreSQL, focusing on correctness and reliability (idempotency, Redis locks, async payment processing with circuit breakers). Also integrated an ML recommendation system as a separate FastAPI inference service with caching and async embedding updates, reporting ~25% CTR lift, and has experience with multi-tenant isolation using PostgreSQL row-level security.

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PV

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

New York City, NY6y exp
AvanadeUniversity of North Texas

Built a production AI-driven contract/document extraction system combining OCR, normalization, and LLM schema-guided extraction, orchestrated with PySpark and Azure Data Factory and loaded into PostgreSQL for analytics. Emphasizes reliability at scale—using strict JSON schemas, confidence scoring, targeted retries, and multi-layer validation to control hallucinations while processing thousands of PDFs per hour—and partners closely with non-technical business teams to refine fields and deliver usable dashboards.

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AM

Mid-level Full-Stack Software Engineer specializing in React, Spring Boot, and AWS

Los Angeles, CA5y exp
QualcommCalifornia State University, Northridge

JavaScript/TypeScript engineer with proven open-source impact: delivered a major reliability upgrade to a retry/error-handling library (standardized typed errors, added exponential backoff, expanded Jest tests, and implemented GitHub Actions CI) that was merged and released. Demonstrates strong performance engineering and debugging skills (profiling-driven optimization; diagnosed a race condition causing inconsistent retries) plus a documentation-first approach to developer experience.

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VS

Mid-level Full-Stack Java Developer specializing in microservices on AWS

Raleigh, NC5y exp
First Citizens BankLindsey Wilson College

Frontend-focused engineer who built a reusable React component library (documented in Storybook) to standardize and speed up UI development across teams at Ikea, including a configurable, high-performance order list component. Also demonstrated end-to-end ownership in an unstructured environment at First Citizens Bank by defining API contracts and delivering backend services with caching and monitoring.

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