Vetted Engineering Professionals

Kwadwo Poku

Screened

Mid-level Full-Stack Software Engineer specializing in FinTech and cloud platforms

Yonkers, NY3y exp

“Software engineer who built and launched an end-to-end Ad Scheduler that automated campaign creation across Google Ads and Meta using Azure Functions/Service Bus, PostgreSQL, and a React frontend—reducing manual marketing ops work. Also shipped a production internal RAG chatbot leveraging a data warehouse + Cube semantic layer, Gemini embeddings, vector search, and Claude, with Langfuse tracing and brand-based access controls; work was cut short due to layoffs.”

Ali Taquie

Screened

Junior Software Engineer specializing in AI and FinTech payments

Santa Cruz, CA2y exp

“Forward-deployed software engineer at PayStand who uses LLM prototyping tools (e.g., Cursor, Lovable) to rapidly build customer-specific demo environments and drive sales outcomes—citing ~$100K in technical buy-in before production development. Experienced supporting an enterprise expense management product (Teampay) with agentic AI workflows, emphasizing observability (Grafana/Loki/Tempo) and cross-functional communication with sales, product, developers, and customers.”

Abhishek Saraswat

Screened

Mid-level Software Engineer specializing in Java backend microservices

Arlington, TX4y exp

“Backend/distributed-systems engineer focused on automation and near-real-time processing, building Java/Spring Boot microservices with Kafka, PostgreSQL, and AWS. Strong in scaling and reliability work—debugging tricky asynchronous messaging issues (delays, duplicates, out-of-order events) and improving resilience/observability with retries, fallbacks, logging, and monitoring. No production ROS/ROS2 experience yet, but has studied core ROS concepts and draws clear parallels to event-driven architectures.”

“Data-focused engineer who has built near real-time trending news sentiment pipelines end-to-end (API/web ingestion, validation, transformations, and dashboard serving) and implemented reliability patterns like retries with exponential backoff and backfills. Also shipped Java/Spring Boot REST APIs backed by SQL with indexing/pagination, and stood up an early-stage QR-based attendance MVP using Firebase with iterative hardening via logging and validation.”

Jacob Allyn

Screened

Senior Physics & Gameplay Engineer specializing in Unity vehicle and multiplayer systems

9y exp

“Unity/C# engineer who led and shipped a backend-driven mobile AR platform (4D VIEWR) using Vuforia, enabling dynamic content delivery without app updates and focusing heavily on stability under real-world tracking/connectivity constraints. Also shipped authoritative-server multiplayer matchmaking/gameplay flow for NBA 2K vehicle modes, including server-side anti-cheat validation and live issue instrumentation. Recently built a self-hosted multi-agent LLM pipeline to accelerate game-dev workflows with strong reliability and cost/latency controls.”

Teage Johnson

Screened

Junior Full-Stack Engineer specializing in FinTech and machine learning

California, USA3y exp

“Software engineer at early-stage startup Cari with hands-on experience shipping AI-enabled production workflows, including an LLM chatbot for a micro-transit platform and an automated image-processing pipeline integrated with Claude. Stands out for combining practical agent reliability patterns—schema validation, fallbacks, caching, and idempotency—with strong ML evaluation instincts and experience cleaning messy operational invoice data.”

“Product-minded full-stack engineer focused on internal operations tooling, with hands-on ownership across React/TypeScript, serverless APIs, and Postgres. They combine UX simplification with deep performance and reliability work, citing a transaction-exception workflow redesign that cut task completion time by roughly 25%, and they’ve also built multi-tenant configurable systems with strong guardrails.”

“Full-stack product engineer who has owned complex internal platforms end-to-end, spanning React/TypeScript frontends, Flask/Redis backend systems, and relational data design. Particularly strong at turning technically dense workflows into intuitive user experiences, including a synthetic-imagery platform adopted by multiple Army research labs and a marketing analytics system with 99.99%+ uptime.”

Horst Evans

Screened

Mid-level Software Engineer specializing in XR/VR simulation and training

Lubbock, TX6y exp

“XR/gameplay engineer with unusually deep experience building complex simulation systems in Unity, including a motor grader vehicle that combined physics-driven controls, terrain deformation, and VR performance constraints on Quest-class hardware. Also owned Photon multiplayer for operating-room training sessions and contributed to a flagship MLB app spanning Quest, Vision Pro, desktop, and mobile.”

“Built a Python pipeline to monitor and classify public posts from sources like Hacker News and Reddit for SWE/tech job opportunities, with a strong focus on reliability, observability, and recoverable failures. Also currently building a court queueing system for the UCSD Badminton Club, showing an ability to turn messy, informal real-world processes into practical automation through iterative user feedback.”

“Multi-time founding team member who helped raise capital at HotSchedules and Axial Shift, contributing investor-facing narratives around cost to serve, technology vision, scalability, and market opportunity. Motivated by building companies from the ground up, they bring a hands-on zero-to-one mindset paired with a strong understanding of what angels and VCs need to see in a scalable, standards-compliant product.”

“Candidate is not pursuing a startup and is actively seeking employment, but brings several years of experience from a late-stage, well-funded startup. They show some familiarity with startup culture, especially the urgency, energy, and focus on creating value and demonstrating progress in real time.”

“Automation-focused engineer with hands-on experience building production Python integrations, maintaining 60+ Jenkins pipelines across six product lines, and hardening CI systems in real-world environments. Most notably, they turned a tribal-knowledge Windows server maintenance process into a production workflow across nine servers, saving about 500 engineering hours annually.”

“Full-stack engineer with end-to-end ownership of a production customer plan activation and account management flow at T-Mobile, spanning Java/Spring Boot APIs, React frontend, and Docker-based CI/CD deployments. Demonstrated performance/scalability work (query optimization, indexing, caching) and measured success via improved retrieval speed and reduced support tickets.”

Pratik Patil

Screened

Senior Frontend Engineer specializing in React and FinTech SaaS

New York, NY6y exp

“Senior engineer at BDI Plus who is already using AI coding tools as a core part of daily development, with hands-on experience building enterprise LLM products such as ChatCDP AI for Morgan Stanley analysts. Particularly strong at making AI systems trustworthy and usable through auditable outputs, streaming UX, and resilient state-machine-driven error handling.”

Harika M

Screened

Mid-level Full-Stack Developer specializing in FinTech and enterprise platforms

Plano, TX6y exp

“Engineer with a pragmatic, production-focused approach to AI-assisted development, using tools like Copilot and ChatGPT to accelerate coding while maintaining strict validation for correctness, security, and performance. Particularly notable for building a multi-agent incident-resolution workflow for a financial platform, with specialized agents for log analysis, root cause identification, fix suggestions, and test generation.”

“DevOps- and infrastructure-focused engineer who is already applying AI in practical delivery workflows, including Terraform, CI/CD, Kubernetes, and multi-agent automation. Stands out for combining AI-driven productivity with disciplined validation through testing, code review, and security checks, and for leading cross-functional AI integration across development, QA, and infrastructure.”

“ML engineer at CGI who built demand forecasting models end-to-end, from feature engineering and training through AWS deployment. Stands out for a production-first mindset and strong skepticism of AI-generated code, including catching a Copilot-generated SQL query that would have caused a costly full table scan in production.”

“Built an itinerary-planning startup MVP (LessGO) using React/TypeScript and a Node/Express backend integrating Google Maps and Gemini AI. Notably optimized Gemini latency from ~40 seconds to ~3 seconds through frontend caching, debugging, and model selection, and has TA experience supporting others with deployments and database connectivity.”

KUSHWANTH MUTHYALA

Screened

Senior Full-Stack Engineer specializing in FinTech

Irvine, CA6y exp

“Engineer with hands-on experience building and deploying end-to-end ML inference pipelines using SageMaker, TensorFlow, Scikit-learn, and Kafka-backed real-time data systems. Brings a strong distributed-systems mindset and has already operated in a tech lead capacity through architecture decisions, code reviews, and cross-functional coordination. Especially compelling for teams building production AI/ML platforms that need both practical execution and sound engineering judgment.”

rhema junapudi

Screened

Mid-level Full-Stack Developer specializing in cloud-native healthcare and insurance platforms

Albany, OR3y exp

“Full-stack engineer with healthcare and claims-domain experience who has shipped AI-assisted documentation and fraud-scoring systems using Angular, ASP.NET Core, OpenAI APIs, and ML tooling. Stands out for building compliance-aware, traceable agentic architectures with graceful degradation, and for a nuanced understanding of AI failure modes in production.”

Mounika Ravali Vundemodalu

Screened

Junior Front-End Developer specializing in insurance web applications

San Jose, USA3y exp

“Full-stack developer who uses AI selectively for refactoring, regex, API typing, and test scaffolding while maintaining strict manual review for security, correctness, and architectural fit. Recently shipped insurance-related features such as policy issuance and reinstatement, and demonstrated hands-on debugging of async React issues by identifying duplicate fetches in DevTools and fixing them with AbortController.”

“Early-career engineer who built and launched a zero-to-one AI-driven approval workflow at SDSU that is used daily by roughly 2,000 university users. They owned the system end-to-end—from FastAPI/PostgreSQL backend to React UI—and showed strong judgment around LLM reliability, using a two-step pipeline, validation checks, and human-review fallbacks to cut manual processing time by about 80%.”

Pallavi Hogalagere Anandareddy

Screened

Mid Software Engineer specializing in backend systems and FinTech

Tampa, FL4y exp

“Backend/full-stack engineer with experience spanning banking implementations at FIS and hands-on product building in React, TypeScript, Node.js, SQL, and Python. Stands out for owning six bank go-lives end-to-end, building an AI resume evaluator, and proactively automating manual operations workflows to reduce errors and improve consistency.”